feat: AI-driven automated penetration testing system
Add a complete AI pentest system where Claude autonomously drives security
testing via tool-calling. The LLM selects from 16 tools, chains results,
and builds an attack chain DAG.
Core:
- PentestTool trait (dyn-compatible) with PentestToolContext/Result
- PentestSession, AttackChainNode, PentestMessage, PentestEvent models
- 10 new DastVulnType variants (DNS, DMARC, TLS, cookies, CSP, CORS, etc.)
- LLM client chat_with_tools() for OpenAI-compatible tool calling
Tools (16 total):
- 5 agent wrappers: SQL injection, XSS, auth bypass, SSRF, API fuzzer
- 11 new infra tools: DNS checker, DMARC checker, TLS analyzer,
security headers, cookie analyzer, CSP analyzer, rate limit tester,
console log detector, CORS checker, OpenAPI parser, recon
- ToolRegistry for tool lookup and LLM definition generation
Orchestrator:
- PentestOrchestrator with iterative tool-calling loop (max 50 rounds)
- Attack chain node recording per tool invocation
- SSE event broadcasting for real-time progress
- Strategy-aware system prompts (quick/comprehensive/targeted/aggressive/stealth)
API (9 endpoints):
- POST/GET /pentest/sessions, GET /pentest/sessions/:id
- POST /pentest/sessions/:id/chat, GET /pentest/sessions/:id/stream
- GET /pentest/sessions/:id/attack-chain, messages, findings
- GET /pentest/stats
Dashboard:
- Pentest dashboard with stat cards, severity distribution, session list
- Chat-based session page with split layout (chat + findings/attack chain)
- Inline tool execution indicators, auto-polling, new session modal
- Sidebar navigation item
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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