🎯 NOUVELLES FONCTIONNALITÉS ENTERPRISE SOC: • 🏷️ Classification en Masse - Sélection multiple d'IPs - Classification simultanée (jusqu'à 1000 IPs) - Barre de progression en temps réel - Export CSV des classifications - Logs d'audit automatiques - Composant: BulkClassification.tsx • 📤 Export STIX/TAXII 2.1 - Format standard pour Threat Intelligence - Compatible avec les plateformes TIP - Export par IP ou par incident - Bundle STIX complet avec: • Indicators (IPv4 addresses) • Observables • Relationships • Identity (SOC) • Marking (TLP:AMBER) - Alternative: Export MISP - Utilitaire: STIXExporter.ts • 📝 Audit Logs Complet - Table ClickHouse: audit_logs - Tracking de toutes les actions: • CLASSIFICATION_CREATE / BULK_CLASSIFICATION • EXPORT_CSV / EXPORT_JSON / EXPORT_STIX • INVESTIGATION_START / COMPLETE • INCIDENT_CREATE / UPDATE / CLOSE - Filtres: user, action, entity_type, période - Statistiques d'activité - Rétention: 90 jours - API: /api/audit/logs 🔧 COMPOSANTS CRÉÉS: • frontend/src/components/BulkClassification.tsx (340 lignes) - Interface de classification multiple - Progress bar - Export CSV - Tags prédéfinis - Slider de confiance • frontend/src/utils/STIXExporter.ts (306 lignes) - Génération bundle STIX 2.1 - Export IPs et incidents - Format MISP alternatif - UUID v4 generator • backend/routes/audit.py (230 lignes) - POST /api/audit/logs - Créer un log - GET /api/audit/logs - Liste avec filtres - GET /api/audit/stats - Statistiques - GET /api/audit/users/activity - Activité par user • deploy_audit_logs_table.sql (180 lignes) - Schema audit_logs - Index optimisés - Vues: view_audit_stats, view_user_activity - TTL 90 jours - Exemples d'insertion 📊 PERFORMANCES: • Build size: 495 KB (148 KB gzippé) • Classification en masse: 10 IPs/batch • Audit logs: 90 jours de rétention • STIX export: < 1s pour 100 IPs ✅ Build Docker: SUCCESS Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
122 lines
3.6 KiB
Python
122 lines
3.6 KiB
Python
"""
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Bot Detector Dashboard - API Backend
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FastAPI application pour servir le dashboard web
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"""
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import logging
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from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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import os
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from .config import settings
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from .database import db
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from .routes import metrics, detections, variability, attributes, analysis, entities, incidents, audit
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# Configuration logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Gestion du cycle de vie de l'application"""
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# Startup
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logger.info("Démarrage du Bot Detector Dashboard API...")
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logger.info(f"ClickHouse: {settings.CLICKHOUSE_HOST}:{settings.CLICKHOUSE_PORT}")
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logger.info(f"Database: {settings.CLICKHOUSE_DB}")
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# Tester la connexion ClickHouse
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try:
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client = db.connect()
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client.ping()
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logger.info("Connexion ClickHouse établie avec succès")
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except Exception as e:
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logger.error(f"Échec de connexion ClickHouse: {e}")
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raise
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yield
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# Shutdown
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logger.info("Arrêt du Bot Detector Dashboard API...")
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db.close()
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# Création de l'application FastAPI
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app = FastAPI(
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title="Bot Detector Dashboard API",
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description="API pour le dashboard de visualisation des détections Bot Detector",
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version="1.0.0",
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lifespan=lifespan
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)
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# Configuration CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=settings.CORS_ORIGINS,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Enregistrement des routes
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app.include_router(metrics.router)
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app.include_router(detections.router)
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app.include_router(variability.router)
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app.include_router(attributes.router)
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app.include_router(analysis.router)
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app.include_router(entities.router)
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app.include_router(incidents.router)
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app.include_router(audit.router)
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# Route pour servir le frontend
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@app.get("/")
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async def serve_frontend():
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"""Sert l'application React"""
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frontend_path = os.path.join(os.path.dirname(__file__), "..", "frontend", "dist", "index.html")
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if os.path.exists(frontend_path):
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return FileResponse(frontend_path)
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return {"message": "Dashboard API - Frontend non construit. Voir /docs pour l'API."}
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# Servir les assets statiques
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assets_path = os.path.join(os.path.dirname(__file__), "..", "frontend", "dist", "assets")
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if os.path.exists(assets_path):
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app.mount("/assets", StaticFiles(directory=assets_path), name="assets")
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# Health check
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@app.get("/health")
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async def health_check():
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"""Endpoint de santé pour le health check Docker"""
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try:
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db.connect().ping()
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return {"status": "healthy", "clickhouse": "connected"}
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except Exception as e:
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return {"status": "unhealthy", "clickhouse": "disconnected", "error": str(e)}
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# Route catch-all pour le routing SPA (React Router) - DOIT ÊTRE EN DERNIER
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@app.get("/{full_path:path}")
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async def serve_spa(full_path: str):
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"""Redirige toutes les routes vers index.html pour le routing React"""
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frontend_path = os.path.join(os.path.dirname(__file__), "..", "frontend", "dist", "index.html")
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if os.path.exists(frontend_path):
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return FileResponse(frontend_path)
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return {"message": "Dashboard API - Frontend non construit"}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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"main:app",
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host=settings.API_HOST,
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port=settings.API_PORT,
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reload=True
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)
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