diff --git a/.gitignore b/.gitignore index ed4c027..e100cb8 100644 --- a/.gitignore +++ b/.gitignore @@ -3,11 +3,20 @@ venv/ env/ .venv/ .env +.sisyphus +ENV/ +env.bak/ +venv.bak/ .env.local .env.*.local # Application results and session data results/ +strix_runs/ +test_output.txt +all_tests.txt + +# Python Cache and Compilation .sisyphus/ .secnode_temp/ .api-agent/ @@ -16,20 +25,86 @@ test_output.txt # Python cache and build __pycache__/ -*.pyc -*.pyo -*.pyd +*.py[cod] +*$py.class +*.so .pytest_cache/ .ruff_cache/ .coverage +.coverage.* +coverage.xml htmlcov/ *.egg-info/ +.eggs/ +*.egg +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.installed.cfg +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +.ruff_cache/ +.mypy_cache/ +.tox/ + +# Logs +*.log dist/ build/ *.egg # macOS .DS_Store +.AppleDouble +.LSOverride +Icon +._* +.DocumentRevisions-V100 +.fseventsd +.Spotlight-V100 +.Trashes +.VolumeIcon.icns +.AppleDB +.AppleDesktop +Network Trash Folder +Temporary Items +.apdisk + +# Windows +Thumbs.db +Thumbs.db:encryptable +ehthumbs.db +ehthumbs_vista.db +*.stackdump +[Dd]esktop.ini +$RECYCLE.BIN/ +*.cab +*.msi +*.msix +*.msm +*.msp +*.lnk + +# IDEs and Editors +.idea/ +.vscode/ +.cursor/ +*.swp +*.swo +*~ +.history/ +*.code-workspace +.metadata/ + +# Jupyter Notebook +.ipynb_checkpoints # IDEs and editor config .idea/ 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/CONTRIBUTING.md b/CONTRIBUTING.md index 816c865..5a45427 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 e98e519..8ef264c 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 @@ -33,7 +34,7 @@ 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 @@ -88,6 +89,13 @@ 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" +``` + Or with Nebius Token Factory (OpenAI-compatible): ```bash @@ -99,7 +107,7 @@ export NEBIUS_API_KEY="your-nebius-token" Run `secnodeapi --list-models` to see available model IDs for your endpoint. 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 @@ -127,6 +135,7 @@ 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 secnodeapi --target https://api.example.com --mode bugbounty --program "Acme BBP" --scope host:api.example.com --scope path:/api --bb-instruction "Only test assigned API assets" ``` @@ -145,6 +154,7 @@ secnodeapi-tui --target https://api.example.com --backend remote --api-base-url - `--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? 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:57 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_ai_modules.py:57: 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:91 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_ai_modules.py:91: 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:122 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_ai_modules.py:122: 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:157 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_ai_modules.py:157: 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:195 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_ai_modules.py:195: 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:226 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_ai_modules.py:226: 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 - -src\secnodeapi\vulnerability_models.py:47 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\src\secnodeapi\vulnerability_models.py:47: PytestCollectionWarning: cannot collect test class 'TestCase' because it has a __init__ constructor (from: tests/test_ai_modules.py) - class TestCase(BaseModel): - -src\secnodeapi\vulnerability_models.py:67 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\src\secnodeapi\vulnerability_models.py:67: PytestCollectionWarning: cannot collect test class 'TestResult' because it has a __init__ constructor (from: tests/test_ai_modules.py) - class TestResult(BaseModel): - -tests\test_cli_main_and_llm.py:10 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_cli_main_and_llm.py:10: 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_cli_main_and_llm.py:35 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_cli_main_and_llm.py:35: 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_cli_main_and_llm.py:61 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_cli_main_and_llm.py:61: 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_cli_main_and_llm.py:86 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_cli_main_and_llm.py:86: 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_cli_main_and_llm.py:106 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_cli_main_and_llm.py:106: 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_cli_main_and_llm.py:127 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_cli_main_and_llm.py:127: 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_cli_main_and_llm.py:147 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_cli_main_and_llm.py:147: 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_executor_and_pipeline.py:36 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_executor_and_pipeline.py:36: 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_executor_and_pipeline.py:52 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_executor_and_pipeline.py:52: 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_executor_and_pipeline.py:111 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_executor_and_pipeline.py:111: 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 - -src\secnodeapi\vulnerability_models.py:47 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\src\secnodeapi\vulnerability_models.py:47: PytestCollectionWarning: cannot collect test class 'TestCase' because it has a __init__ constructor (from: tests/test_executor_and_pipeline.py) - class TestCase(BaseModel): - -src\secnodeapi\vulnerability_models.py:67 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\src\secnodeapi\vulnerability_models.py:67: PytestCollectionWarning: cannot collect test class 'TestResult' because it has a __init__ constructor (from: tests/test_executor_and_pipeline.py) - class TestResult(BaseModel): - -tests\test_microservices_controller.py:6 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_microservices_controller.py:6: 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_microservices_controller.py:20 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_microservices_controller.py:20: 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_pipeline_service.py:31 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_pipeline_service.py:31: 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_pipeline_service.py:93 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_pipeline_service.py:93: 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_pipeline_service.py:172 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_pipeline_service.py:172: 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 - -src\secnodeapi\vulnerability_models.py:47 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\src\secnodeapi\vulnerability_models.py:47: PytestCollectionWarning: cannot collect test class 'TestCase' because it has a __init__ constructor (from: tests/test_pipeline_service.py) - class TestCase(BaseModel): - -src\secnodeapi\vulnerability_models.py:67 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\src\secnodeapi\vulnerability_models.py:67: PytestCollectionWarning: cannot collect test class 'TestResult' because it has a __init__ constructor (from: tests/test_pipeline_service.py) - class TestResult(BaseModel): - -tests\test_schema_fetcher.py:6 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_schema_fetcher.py:6: 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_worker_policy.py:47 - C:\Users\admin\Desktop\Projects\CyberIntelligence\API-PENTESTER\tests\test_worker_policy.py:47: 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 - --- 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 8609bb4..6528a14 100644 --- a/src/secnodeapi/ai/__init__.py +++ b/src/secnodeapi/ai/__init__.py @@ -4,11 +4,14 @@ 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, 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/llm_client.py b/src/secnodeapi/ai/llm_client.py index ca215ce..e2ae35a 100644 --- a/src/secnodeapi/ai/llm_client.py +++ b/src/secnodeapi/ai/llm_client.py @@ -37,6 +37,17 @@ 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 + # 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", "") else: api_base = ( os.getenv("OPENAI_API_BASE", "").strip() 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/ai/validate.py b/src/secnodeapi/ai/validate.py index 343db9a..47d5e20 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): @@ -220,3 +223,84 @@ 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) + 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( + 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 ddb096a..2afa79f 100644 --- a/src/secnodeapi/cli.py +++ b/src/secnodeapi/cli.py @@ -27,6 +27,26 @@ except ImportError: pass +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(), + ] + ) + def _configure_logging(verbose: bool = False) -> None: if verbose: structlog.configure( @@ -67,6 +87,7 @@ def _configure_logging(verbose: bool = False) -> None: validate_and_retest, write_report, ) +from .ai import deduplicate_findings_with_ai from .services.controller import ControllerService from .http_executor import execute_proactive_tests from .policy import build_policy @@ -111,10 +132,10 @@ 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 @@ -124,11 +145,12 @@ 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 @@ -149,7 +171,7 @@ 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 @@ -277,24 +299,9 @@ 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", @@ -380,6 +387,10 @@ 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." @@ -442,12 +453,14 @@ async def _run_dry_run(args, pipeline_input: PipelineInput) -> None: 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 pipeline_input.verbose: print("\n--- Phase 1: Schema fetch and test generation ---") api_structure, tests, _ = await build_pipeline_artifacts(pipeline_input) @@ -455,6 +468,7 @@ async def _run_full_pipeline(args, pipeline_input: PipelineInput) -> None: logger.error("No tests generated. Aborting.") raise SystemExit(1) + console.rule("[bold cyan]Executing Generated Tests") if pipeline_input.verbose: print("\n--- Phase 2: Execute tests ---") results = await execute_proactive_tests( @@ -476,8 +490,13 @@ 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) + + console.rule("[bold green]Scan Completed") logger.info("SecNode pipeline completed successfully", output_dir=output_dir) diff --git a/src/secnodeapi/config.py b/src/secnodeapi/config.py index 5045f6f..0b832c6 100644 --- a/src/secnodeapi/config.py +++ b/src/secnodeapi/config.py @@ -29,7 +29,9 @@ 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/src/secnodeapi/config_loader.py b/src/secnodeapi/config_loader.py index 15032b0..1e1cec7 100644 --- a/src/secnodeapi/config_loader.py +++ b/src/secnodeapi/config_loader.py @@ -56,12 +56,8 @@ 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 @@ -74,14 +70,8 @@ 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]: @@ -125,12 +115,26 @@ 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") @@ -177,11 +181,9 @@ 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 = [ @@ -249,8 +251,10 @@ 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 81d9d8d..12060cb 100644 --- a/src/secnodeapi/services/pipeline.py +++ b/src/secnodeapi/services/pipeline.py @@ -12,9 +12,11 @@ from ..ai import ( classify_findings, + deduplicate_findings_with_ai, 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 @@ -168,48 +170,10 @@ 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]: @@ -315,6 +279,10 @@ 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]]: @@ -326,10 +294,8 @@ async def run_agent_pipeline( _phase("Phase 1: Schema fetch and API analysis", verbose) api_structure, seed_tests, understanding = 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) ) if verbose: print(f" Endpoints: {len(api_structure.endpoints)}, seed tests: {len(seed_tests)}, queue: {len(queue)}") @@ -343,6 +309,7 @@ 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 ) @@ -382,6 +349,10 @@ 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 deduplicate_findings_with_ai(confirmed) + metrics = { "iterations": iteration, "requests_attempted": pipeline_input.request_budget - remaining_budget, @@ -405,6 +376,8 @@ async def run_agent_pipeline( return api_structure, confirmed, suspected, metrics, methodology +from .recon import perform_active_recon + async def build_pipeline_artifacts( pipeline_input: PipelineInput, ) -> tuple: diff --git a/src/secnodeapi/services/recon.py b/src/secnodeapi/services/recon.py new file mode 100644 index 0000000..778ddd2 --- /dev/null +++ b/src/secnodeapi/services/recon.py @@ -0,0 +1,177 @@ +""" +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("/") + + # Version mutations + if "/v1/" in stripped: + 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", ".env", ".sql", ".txt", ".tar.gz", ".zip"): + mutations.add(f"{stripped}{ext}") + + # Admin & Shadow directory mutations + 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 + if "{id}" in stripped: + for inject in ( + "1", + "2", + "0", + "-1", + "999999", + "admin", + "root", + "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] + + +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 + + # 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}", + name="Parameter Discovery", + description="Probe for hidden debug or admin parameters", + owasp_category="API9: Improper Inventory Management", + endpoint=path, + method="GET", + params=fuzz_params + ) + ) + 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 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 ======================= diff --git a/uv.lock b/uv.lock index 843750e..ce0c0eb 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 3 +revision = 1 requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.12'", @@ -11,9 +11,9 @@ resolution-markers = [ name = "aiohappyeyeballs" version = "2.6.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = 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