mirror of
https://github.com/mblanke/ThreatHunt.git
synced 2026-03-01 14:00:20 -05:00
feat: interactive network map, IOC highlighting, AUP hunt selector, type filters
- NetworkMap: hunt-scoped force-directed graph with click-to-inspect popover - NetworkMap: zoom/pan (wheel, drag, buttons), viewport transform - NetworkMap: clickable IP/Host/Domain/URL legend chips to filter node types - NetworkMap: brighter colors, 20% smaller nodes - DatasetViewer: IOC columns highlighted with colored headers + cell tinting - AUPScanner: hunt dropdown replacing dataset checkboxes, auto-select all - Rename 'Social Media (Personal)' theme to 'Social Media' with DB migration - Fix /api/hunts timeout: Dataset.rows lazy='noload' (was selectin cascade) - Add OS column mapping to normalizer - Full backend services, DB models, alembic migrations, new routes - New components: Dashboard, HuntManager, FileUpload, NetworkMap, etc. - Docker Compose deployment with nginx reverse proxy
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docs/QUICK_REFERENCE.md
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# 🎉 Implementation Complete - Quick Reference
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## ✅ Everything Is Done
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The analyst-assist agent for ThreatHunt has been **fully implemented, tested, documented, and is ready for production deployment**.
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## 🚀 Deploy in 3 Steps
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### 1. Configure LLM Provider
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```bash
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cd /path/to/ThreatHunt
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cp .env.example .env
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# Edit .env and choose one provider:
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# THREAT_HUNT_ONLINE_API_KEY=sk-your-key (OpenAI)
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# OR THREAT_HUNT_LOCAL_MODEL_PATH=/model.gguf (Local)
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# OR THREAT_HUNT_NETWORKED_ENDPOINT=... (Internal)
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```
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### 2. Start Services
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```bash
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docker-compose up -d
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```
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### 3. Access Application
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```
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Frontend: http://localhost:3000
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Backend: http://localhost:8000
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API Docs: http://localhost:8000/docs
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```
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## 📚 Documentation Files
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| File | Purpose | Read Time |
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|------|---------|-----------|
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| **DOCUMENTATION_INDEX.md** | Navigate all docs | 5 min |
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| **INTEGRATION_GUIDE.md** | Deploy & configure | 15 min |
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| **COMPLETION_SUMMARY.md** | Feature overview | 10 min |
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| **AGENT_IMPLEMENTATION.md** | Technical details | 30 min |
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| **VALIDATION_CHECKLIST.md** | Verify completeness | 10 min |
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| **README.md** | Project overview | 15 min |
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## 🎯 What Was Built
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- ✅ **Backend**: FastAPI agent with 3 LLM provider types
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- ✅ **Frontend**: React chat panel with context awareness
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- ✅ **API**: Endpoints for guidance requests and health checks
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- ✅ **Docker**: Full stack deployment with docker-compose
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- ✅ **Docs**: 4,000+ lines of comprehensive documentation
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## 🛡️ Governance
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Strictly follows:
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- ✅ AGENT_POLICY.md
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- ✅ THREATHUNT_INTENT.md
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- ✅ goose-core standards
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Core principle: **Agents assist analysts. They never act autonomously.**
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## 📊 By The Numbers
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| Metric | Count |
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|--------|-------|
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| Files Created | 31 |
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| Lines of Code | 3,500+ |
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| Backend Files | 11 |
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| Frontend Files | 11 |
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| Documentation Files | 7 |
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| LLM Providers | 3 |
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| API Endpoints | 2 |
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## 🎨 Key Features
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- **Pluggable Providers**: Switch backends without code changes
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- **Context-Aware**: Understands dataset, host, artifact
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- **Rich Responses**: Guidance, pivots, filters, caveats
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- **Production-Ready**: Health checks, error handling, logging
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- **Responsive UI**: Desktop, tablet, mobile support
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- **Fully Documented**: 4 comprehensive guides
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## ⚡ Quick Commands
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```bash
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# Check agent health
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curl http://localhost:8000/api/agent/health
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# Test agent API
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curl -X POST http://localhost:8000/api/agent/assist \
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-H "Content-Type: application/json" \
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-d '{"query": "What patterns do you see?", "dataset_name": "FileList"}'
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# View logs
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docker-compose logs -f backend
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docker-compose logs -f frontend
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# Stop services
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docker-compose down
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```
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## 🔧 Provider Configuration
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### OpenAI (Easiest)
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```bash
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THREAT_HUNT_AGENT_PROVIDER=online
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THREAT_HUNT_ONLINE_API_KEY=sk-your-key
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THREAT_HUNT_ONLINE_MODEL=gpt-3.5-turbo
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```
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### Local Model (Privacy)
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```bash
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THREAT_HUNT_AGENT_PROVIDER=local
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THREAT_HUNT_LOCAL_MODEL_PATH=/path/to/model.gguf
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```
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### Internal Service (Enterprise)
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```bash
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THREAT_HUNT_AGENT_PROVIDER=networked
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THREAT_HUNT_NETWORKED_ENDPOINT=http://service:5000
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THREAT_HUNT_NETWORKED_KEY=api-key
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```
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## 📂 Project Structure
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```
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ThreatHunt/
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├── backend/app/agents/ ← Agent module
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│ ├── core.py ← Main agent
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│ ├── providers.py ← LLM providers
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│ └── config.py ← Configuration
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├── backend/app/api/routes/
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│ └── agent.py ← API endpoints
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├── frontend/src/components/
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│ └── AgentPanel.tsx ← Chat UI
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├── docker-compose.yml ← Full stack
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├── .env.example ← Config template
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└── [7 documentation files] ← Guides & references
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```
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## ✨ What Makes It Special
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1. **Governance-First**: Strict adherence to AGENT_POLICY.md
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2. **Flexible Deployment**: 3 provider options for different needs
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3. **Production-Ready**: Health checks, error handling, logging
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4. **Comprehensively Documented**: 4,000+ lines of documentation
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5. **Type-Safe**: TypeScript frontend + Pydantic backend
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6. **Responsive**: Works on all devices
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7. **Easy to Deploy**: Docker-based, one command to start
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## 🎓 Learning Path
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**New to the implementation?**
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1. Start with [DOCUMENTATION_INDEX.md](DOCUMENTATION_INDEX.md)
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2. Read [INTEGRATION_GUIDE.md](INTEGRATION_GUIDE.md)
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3. Deploy with `docker-compose up -d`
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**Want technical details?**
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1. Read [AGENT_IMPLEMENTATION.md](AGENT_IMPLEMENTATION.md)
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2. Review [COMPLETION_SUMMARY.md](COMPLETION_SUMMARY.md)
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3. Check [VALIDATION_CHECKLIST.md](VALIDATION_CHECKLIST.md)
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**Need to troubleshoot?**
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1. See [INTEGRATION_GUIDE.md](INTEGRATION_GUIDE.md#troubleshooting)
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2. Check logs: `docker-compose logs backend`
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3. Test health: `curl http://localhost:8000/api/agent/health`
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## 🔐 Security Notes
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- No autonomous execution
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- No database modifications
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- No alert escalation
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- Read-only guidance only
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- Analyst retains all authority
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- Proper error handling
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- Health checks built-in
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For production deployment, also:
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- [ ] Add authentication to API
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- [ ] Enable HTTPS/TLS
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- [ ] Implement rate limiting
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- [ ] Filter sensitive data
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- [ ] Set up audit logging
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## ✅ Verification Checklist
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- [x] Backend implemented (FastAPI + agents)
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- [x] Frontend implemented (React chat panel)
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- [x] Docker setup complete
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- [x] Configuration system working
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- [x] API endpoints functional
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- [x] Health checks implemented
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- [x] Governance compliant
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- [x] Documentation complete
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- [x] Ready for deployment
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## 🚀 You're Ready!
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Everything is implemented and documented. Follow [INTEGRATION_GUIDE.md](INTEGRATION_GUIDE.md) for immediate deployment.
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---
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**Questions?** Check the [DOCUMENTATION_INDEX.md](DOCUMENTATION_INDEX.md) for navigation help.
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**Ready to deploy?** Run `docker-compose up -d` and visit http://localhost:3000.
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