3 Commits

Author	SHA1	Message	Date
Sharang Parnerkar	71d8741e10	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>	2026-03-11 19:23:21 +01:00
Sharang Parnerkar	42cabf0582	feat: rag-embedding-ai-chat (#1) ... Co-authored-by: Sharang Parnerkar <parnerkarsharang@gmail.com> Reviewed-on: #1	2026-03-06 21:54:15 +00:00
Sharang Parnerkar	cea8f59e10	Add DAST, graph modules, toast notifications, and dashboard enhancements ... Add DAST scanning and code knowledge graph features across the stack: - compliance-dast and compliance-graph workspace crates - Agent API handlers and routes for DAST targets/scans and graph builds - Core models and traits for DAST and graph domains - Dashboard pages for DAST targets/findings/overview and graph explorer/impact - Toast notification system with auto-dismiss for async action feedback - Button click animations and disabled states for better UX Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-04 13:53:50 +01:00