- TCP fingerprinting: 20 signatures OS (p0f-style), scoring multi-signal
TTL/MSS/scale/fenêtre, détection Masscan 97% confiance, réseau path
(Ethernet/PPPoE/VPN/Tunnel), estimation hop-count
- Clustering IPs: K-means++ (Arthur & Vassilvitskii 2007) sur 21 features
TCP stack + anomalie ML + TLS/protocole + navigateur + temporel
PCA-2D par puissance itérative (Hotelling) pour positionnement
- Visualisation redesign: 2 vues lisibles
- Tableau de bord: grille de cartes groupées par niveau de risque
(Bots / Suspects / Légitimes), métriques clés + mini-barres
- Graphe de relations: ReactFlow avec nœuds-cartes en colonnes
par niveau de menace, arêtes colorées par similarité, légende
- Sidebar: RadarChart comportemental + toutes métriques + export CSV
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
140 lines
4.5 KiB
Python
140 lines
4.5 KiB
Python
"""
|
|
Bot Detector Dashboard - API Backend
|
|
FastAPI application pour servir le dashboard web
|
|
"""
|
|
import logging
|
|
from contextlib import asynccontextmanager
|
|
from fastapi import FastAPI, HTTPException
|
|
from fastapi.middleware.cors import CORSMiddleware
|
|
from fastapi.staticfiles import StaticFiles
|
|
from fastapi.responses import FileResponse
|
|
import os
|
|
|
|
from .config import settings
|
|
from .database import db
|
|
from .routes import metrics, detections, variability, attributes, analysis, entities, incidents, audit, reputation, fingerprints
|
|
from .routes import bruteforce, tcp_spoofing, header_fingerprint, heatmap, botnets, rotation, ml_features, investigation_summary, search, clustering
|
|
|
|
# Configuration logging
|
|
logging.basicConfig(
|
|
level=logging.INFO,
|
|
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
|
|
)
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
@asynccontextmanager
|
|
async def lifespan(app: FastAPI):
|
|
"""Gestion du cycle de vie de l'application"""
|
|
# Startup
|
|
logger.info("Démarrage du Bot Detector Dashboard API...")
|
|
logger.info(f"ClickHouse: {settings.CLICKHOUSE_HOST}:{settings.CLICKHOUSE_PORT}")
|
|
logger.info(f"Database: {settings.CLICKHOUSE_DB}")
|
|
|
|
# Tester la connexion ClickHouse
|
|
try:
|
|
client = db.connect()
|
|
client.ping()
|
|
logger.info("Connexion ClickHouse établie avec succès")
|
|
except Exception as e:
|
|
logger.error(f"Échec de connexion ClickHouse: {e}")
|
|
raise
|
|
|
|
yield
|
|
|
|
# Shutdown
|
|
logger.info("Arrêt du Bot Detector Dashboard API...")
|
|
db.close()
|
|
|
|
|
|
# Création de l'application FastAPI
|
|
app = FastAPI(
|
|
title="Bot Detector Dashboard API",
|
|
description="API pour le dashboard de visualisation des détections Bot Detector",
|
|
version="1.0.0",
|
|
lifespan=lifespan
|
|
)
|
|
|
|
# Configuration CORS
|
|
app.add_middleware(
|
|
CORSMiddleware,
|
|
allow_origins=settings.CORS_ORIGINS,
|
|
allow_credentials=True,
|
|
allow_methods=["*"],
|
|
allow_headers=["*"],
|
|
)
|
|
|
|
# Enregistrement des routes
|
|
app.include_router(metrics.router)
|
|
app.include_router(detections.router)
|
|
app.include_router(variability.router)
|
|
app.include_router(attributes.router)
|
|
app.include_router(analysis.router)
|
|
app.include_router(entities.router)
|
|
app.include_router(incidents.router)
|
|
app.include_router(audit.router)
|
|
app.include_router(reputation.router)
|
|
app.include_router(fingerprints.router)
|
|
app.include_router(bruteforce.router)
|
|
app.include_router(tcp_spoofing.router)
|
|
app.include_router(header_fingerprint.router)
|
|
app.include_router(heatmap.router)
|
|
app.include_router(botnets.router)
|
|
app.include_router(rotation.router)
|
|
app.include_router(ml_features.router)
|
|
app.include_router(investigation_summary.router)
|
|
app.include_router(search.router)
|
|
app.include_router(clustering.router)
|
|
|
|
|
|
# Route pour servir le frontend
|
|
@app.get("/")
|
|
async def serve_frontend():
|
|
"""Sert l'application React"""
|
|
frontend_path = os.path.join(os.path.dirname(__file__), "..", "frontend", "dist", "index.html")
|
|
if os.path.exists(frontend_path):
|
|
return FileResponse(frontend_path)
|
|
return {"message": "Dashboard API - Frontend non construit. Voir /docs pour l'API."}
|
|
|
|
|
|
# Servir les assets statiques
|
|
assets_path = os.path.join(os.path.dirname(__file__), "..", "frontend", "dist", "assets")
|
|
if os.path.exists(assets_path):
|
|
app.mount("/assets", StaticFiles(directory=assets_path), name="assets")
|
|
|
|
|
|
# Health check
|
|
@app.get("/health")
|
|
async def health_check():
|
|
"""Endpoint de santé pour le health check Docker"""
|
|
try:
|
|
db.connect().ping()
|
|
return {"status": "healthy", "clickhouse": "connected"}
|
|
except Exception as e:
|
|
return {"status": "unhealthy", "clickhouse": "disconnected", "error": str(e)}
|
|
|
|
|
|
# Route catch-all pour le routing SPA (React Router) - DOIT ÊTRE EN DERNIER
|
|
# Sauf pour /api/* qui doit être géré par les routers
|
|
@app.get("/{full_path:path}")
|
|
async def serve_spa(full_path: str):
|
|
"""Redirige toutes les routes vers index.html pour le routing React"""
|
|
# Ne pas intercepter les routes API
|
|
if full_path.startswith("api/"):
|
|
raise HTTPException(status_code=404, detail="API endpoint not found")
|
|
|
|
frontend_path = os.path.join(os.path.dirname(__file__), "..", "frontend", "dist", "index.html")
|
|
if os.path.exists(frontend_path):
|
|
return FileResponse(frontend_path)
|
|
return {"message": "Dashboard API - Frontend non construit"}
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import uvicorn
|
|
uvicorn.run(
|
|
"main:app",
|
|
host=settings.API_HOST,
|
|
port=settings.API_PORT,
|
|
reload=True
|
|
)
|