feat: ajout de 7 nouveaux dashboards d'analyse avancée
- 🔥 Brute Force & Credential Stuffing (view_form_bruteforce_detected) - 🧬 TCP/OS Spoofing (view_tcp_spoofing_detected, 86K détections) - 📡 Header Fingerprint Clustering (agg_header_fingerprint_1h, 1374 clusters) - ⏱️ Heatmap Temporelle (agg_host_ip_ja4_1h, pic à 20h) - 🌍 Botnets Distribués / JA4 spread (view_host_ja4_anomalies) - 🔄 Rotation JA4 & Persistance (view_host_ip_ja4_rotation + view_ip_recurrence) - 🤖 Features ML / Radar (view_ai_features_1h, radar SVG + scatter plot) Backend: 7 nouveaux router FastAPI avec requêtes ClickHouse optimisées Frontend: 7 nouveaux composants React + navigation 'Analyse Avancée' dans la sidebar Fixes: alias fuzzing_index → max_fuzzing (ORDER BY ClickHouse), normalisation IPs ::ffff: Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
SOC Analyst
105
backend/routes/botnets.py
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105
backend/routes/botnets.py
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@ -0,0 +1,105 @@
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"""
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Endpoints pour l'analyse des botnets via la propagation des fingerprints JA4
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"""
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from fastapi import APIRouter, HTTPException, Query
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from ..database import db
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router = APIRouter(prefix="/api/botnets", tags=["botnets"])
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def _botnet_class(unique_countries: int) -> str:
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if unique_countries > 100:
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return "global_botnet"
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if unique_countries > 20:
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return "regional_botnet"
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return "concentrated"
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@router.get("/ja4-spread")
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async def get_ja4_spread():
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"""Propagation des JA4 fingerprints à travers les pays et les IPs."""
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try:
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sql = """
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SELECT
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ja4,
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unique_ips,
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unique_countries,
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targeted_hosts
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FROM mabase_prod.view_host_ja4_anomalies
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ORDER BY unique_countries DESC
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"""
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result = db.query(sql)
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items = []
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for row in result.result_rows:
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ja4 = str(row[0])
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unique_ips = int(row[1])
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unique_countries = int(row[2])
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targeted_hosts = int(row[3])
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dist_score = round(
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unique_countries / max(unique_ips ** 0.5, 0.001), 2
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)
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items.append({
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"ja4": ja4,
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"unique_ips": unique_ips,
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"unique_countries": unique_countries,
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"targeted_hosts": targeted_hosts,
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"distribution_score":dist_score,
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"botnet_class": _botnet_class(unique_countries),
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})
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return {"items": items, "total": len(items)}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/ja4/{ja4}/countries")
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async def get_ja4_countries(ja4: str, limit: int = Query(30, ge=1, le=200)):
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"""Top pays pour un JA4 donné depuis agg_host_ip_ja4_1h."""
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try:
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sql = """
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SELECT
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src_country_code AS country_code,
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uniq(replaceRegexpAll(toString(src_ip), '^::ffff:', '')) AS unique_ips,
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sum(hits) AS hits
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FROM mabase_prod.agg_host_ip_ja4_1h
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WHERE ja4 = %(ja4)s
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GROUP BY src_country_code
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ORDER BY unique_ips DESC
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LIMIT %(limit)s
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"""
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result = db.query(sql, {"ja4": ja4, "limit": limit})
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items = [
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{
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"country_code": str(row[0]),
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"unique_ips": int(row[1]),
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"hits": int(row[2]),
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}
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for row in result.result_rows
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]
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return {"items": items, "total": len(items)}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/summary")
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async def get_botnets_summary():
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"""Statistiques globales sur les botnets détectés."""
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try:
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sql = """
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SELECT
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countIf(unique_countries > 100) AS total_global_botnets,
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sumIf(unique_ips, unique_countries > 50) AS total_ips_in_botnets,
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argMax(ja4, unique_countries) AS most_spread_ja4,
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argMax(ja4, unique_ips) AS most_ips_ja4
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FROM mabase_prod.view_host_ja4_anomalies
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"""
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result = db.query(sql)
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row = result.result_rows[0]
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return {
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"total_global_botnets": int(row[0]),
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"total_ips_in_botnets": int(row[1]),
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"most_spread_ja4": str(row[2]),
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"most_ips_ja4": str(row[3]),
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}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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107
backend/routes/bruteforce.py
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107
backend/routes/bruteforce.py
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@ -0,0 +1,107 @@
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"""
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Endpoints pour l'analyse des attaques par force brute sur les formulaires
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"""
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from fastapi import APIRouter, HTTPException, Query
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from ..database import db
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router = APIRouter(prefix="/api/bruteforce", tags=["bruteforce"])
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@router.get("/targets")
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async def get_bruteforce_targets():
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"""Liste des hôtes ciblés par brute-force, triés par total_hits DESC."""
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try:
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sql = """
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SELECT
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host,
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uniq(src_ip) AS unique_ips,
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sum(hits) AS total_hits,
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sum(query_params_count) AS total_params,
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groupArray(3)(ja4) AS top_ja4s
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FROM mabase_prod.view_form_bruteforce_detected
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GROUP BY host
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ORDER BY total_hits DESC
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"""
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result = db.query(sql)
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items = []
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for row in result.result_rows:
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host = str(row[0])
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unique_ips = int(row[1])
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total_hits = int(row[2])
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total_params= int(row[3])
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top_ja4s = [str(j) for j in (row[4] or [])]
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attack_type = (
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"credential_stuffing"
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if total_hits > 0 and total_params / total_hits > 0.5
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else "enumeration"
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)
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items.append({
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"host": host,
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"unique_ips": unique_ips,
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"total_hits": total_hits,
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"total_params":total_params,
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"attack_type": attack_type,
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"top_ja4s": top_ja4s,
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})
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return {"items": items, "total": len(items)}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/attackers")
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async def get_bruteforce_attackers(limit: int = Query(50, ge=1, le=500)):
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"""Top IPs attaquantes triées par total_hits DESC."""
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try:
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sql = """
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SELECT
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src_ip AS ip,
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uniq(host) AS distinct_hosts,
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sum(hits) AS total_hits,
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sum(query_params_count) AS total_params,
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argMax(ja4, hits) AS ja4
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FROM mabase_prod.view_form_bruteforce_detected
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GROUP BY src_ip
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ORDER BY total_hits DESC
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LIMIT %(limit)s
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"""
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result = db.query(sql, {"limit": limit})
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items = []
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for row in result.result_rows:
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items.append({
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"ip": str(row[0]),
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"distinct_hosts":int(row[1]),
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"total_hits": int(row[2]),
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"total_params": int(row[3]),
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"ja4": str(row[4]),
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})
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return {"items": items, "total": len(items)}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/timeline")
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async def get_bruteforce_timeline():
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"""Hits par heure (dernières 72h) depuis agg_host_ip_ja4_1h."""
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try:
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sql = """
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SELECT
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toHour(window_start) AS hour,
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sum(hits) AS hits,
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uniq(replaceRegexpAll(toString(src_ip), '^::ffff:', '')) AS ips
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FROM mabase_prod.agg_host_ip_ja4_1h
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WHERE window_start >= now() - INTERVAL 72 HOUR
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GROUP BY hour
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ORDER BY hour ASC
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"""
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result = db.query(sql)
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hours = []
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for row in result.result_rows:
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hours.append({
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"hour": int(row[0]),
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"hits": int(row[1]),
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"ips": int(row[2]),
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})
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return {"hours": hours}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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101
backend/routes/header_fingerprint.py
Normal file
101
backend/routes/header_fingerprint.py
Normal file
@ -0,0 +1,101 @@
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"""
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Endpoints pour l'analyse des empreintes d'en-têtes HTTP
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"""
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from fastapi import APIRouter, HTTPException, Query
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from ..database import db
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router = APIRouter(prefix="/api/headers", tags=["header_fingerprint"])
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@router.get("/clusters")
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async def get_header_clusters(limit: int = Query(50, ge=1, le=200)):
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"""Clusters d'empreintes d'en-têtes groupés par header_order_hash."""
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try:
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sql = """
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SELECT
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header_order_hash AS hash,
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uniq(replaceRegexpAll(toString(src_ip), '^::ffff:', '')) AS unique_ips,
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avg(modern_browser_score) AS avg_browser_score,
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sum(ua_ch_mismatch) AS ua_ch_mismatch_count,
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round(sum(ua_ch_mismatch) * 100.0 / count(), 2) AS ua_ch_mismatch_pct,
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groupArray(5)(sec_fetch_mode) AS top_sec_fetch_modes,
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round(sum(has_cookie) * 100.0 / count(), 2) AS has_cookie_pct,
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round(sum(has_referer) * 100.0 / count(), 2) AS has_referer_pct
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FROM mabase_prod.agg_header_fingerprint_1h
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GROUP BY header_order_hash
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ORDER BY unique_ips DESC
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LIMIT %(limit)s
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"""
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result = db.query(sql, {"limit": limit})
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total_sql = """
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SELECT uniq(header_order_hash)
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FROM mabase_prod.agg_header_fingerprint_1h
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"""
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total_clusters = int(db.query(total_sql).result_rows[0][0])
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clusters = []
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for row in result.result_rows:
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h = str(row[0])
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unique_ips = int(row[1])
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avg_browser_score = float(row[2] or 0)
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ua_ch_mismatch_cnt = int(row[3])
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ua_ch_mismatch_pct = float(row[4] or 0)
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top_modes = list(set(str(m) for m in (row[5] or [])))
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has_cookie_pct = float(row[6] or 0)
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has_referer_pct = float(row[7] or 0)
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if avg_browser_score >= 90 and ua_ch_mismatch_pct < 5:
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classification = "legitimate"
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elif ua_ch_mismatch_pct > 50:
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classification = "bot_suspicious"
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else:
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classification = "mixed"
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clusters.append({
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"hash": h,
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"unique_ips": unique_ips,
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"avg_browser_score": round(avg_browser_score, 2),
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"ua_ch_mismatch_count":ua_ch_mismatch_cnt,
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"ua_ch_mismatch_pct": ua_ch_mismatch_pct,
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"top_sec_fetch_modes": top_modes,
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"has_cookie_pct": has_cookie_pct,
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"has_referer_pct": has_referer_pct,
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"classification": classification,
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})
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return {"clusters": clusters, "total_clusters": total_clusters}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/cluster/{hash}/ips")
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async def get_cluster_ips(hash: str, limit: int = Query(50, ge=1, le=500)):
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"""Liste des IPs appartenant à un cluster d'en-têtes donné."""
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try:
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sql = """
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SELECT
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replaceRegexpAll(toString(src_ip), '^::ffff:', '') AS ip,
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any(modern_browser_score) AS browser_score,
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any(ua_ch_mismatch) AS ua_ch_mismatch,
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any(sec_fetch_mode) AS sec_fetch_mode,
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any(sec_fetch_dest) AS sec_fetch_dest
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FROM mabase_prod.agg_header_fingerprint_1h
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WHERE header_order_hash = %(hash)s
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GROUP BY src_ip
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ORDER BY browser_score DESC
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LIMIT %(limit)s
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"""
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result = db.query(sql, {"hash": hash, "limit": limit})
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items = []
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for row in result.result_rows:
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items.append({
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"ip": str(row[0]),
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"browser_score": int(row[1] or 0),
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"ua_ch_mismatch": int(row[2] or 0),
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"sec_fetch_mode": str(row[3] or ""),
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"sec_fetch_dest": str(row[4] or ""),
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})
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return {"items": items, "total": len(items)}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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145
backend/routes/heatmap.py
Normal file
145
backend/routes/heatmap.py
Normal file
@ -0,0 +1,145 @@
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"""
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Endpoints pour la heatmap temporelle (hits par heure / hôte)
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"""
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from collections import defaultdict
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from fastapi import APIRouter, HTTPException, Query
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from ..database import db
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router = APIRouter(prefix="/api/heatmap", tags=["heatmap"])
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@router.get("/hourly")
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async def get_heatmap_hourly():
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"""Hits agrégés par heure sur les 72 dernières heures."""
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try:
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sql = """
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SELECT
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toHour(window_start) AS hour,
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sum(hits) AS hits,
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uniq(replaceRegexpAll(toString(src_ip), '^::ffff:', '')) AS unique_ips,
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max(max_requests_per_sec) AS max_rps
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FROM mabase_prod.agg_host_ip_ja4_1h
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WHERE window_start >= now() - INTERVAL 72 HOUR
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GROUP BY hour
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ORDER BY hour ASC
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"""
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result = db.query(sql)
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hours = [
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{
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"hour": int(row[0]),
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"hits": int(row[1]),
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"unique_ips": int(row[2]),
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"max_rps": int(row[3]),
|
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}
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for row in result.result_rows
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]
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return {"hours": hours}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/top-hosts")
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async def get_heatmap_top_hosts(limit: int = Query(20, ge=1, le=100)):
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"""Hôtes les plus ciblés avec répartition horaire sur 24h."""
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try:
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# Aggregate overall stats per host
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agg_sql = """
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SELECT
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host,
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sum(hits) AS total_hits,
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uniq(replaceRegexpAll(toString(src_ip), '^::ffff:', '')) AS unique_ips,
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uniq(ja4) AS unique_ja4s
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FROM mabase_prod.agg_host_ip_ja4_1h
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WHERE window_start >= now() - INTERVAL 72 HOUR
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GROUP BY host
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ORDER BY total_hits DESC
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LIMIT %(limit)s
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"""
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agg_res = db.query(agg_sql, {"limit": limit})
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top_hosts = [str(r[0]) for r in agg_res.result_rows]
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host_stats = {
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str(r[0]): {
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"host": str(r[0]),
|
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"total_hits": int(r[1]),
|
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"unique_ips": int(r[2]),
|
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"unique_ja4s":int(r[3]),
|
||||
}
|
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for r in agg_res.result_rows
|
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}
|
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|
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if not top_hosts:
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return {"items": []}
|
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|
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# Hourly breakdown per host
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hourly_sql = """
|
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SELECT
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host,
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toHour(window_start) AS hour,
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sum(hits) AS hits
|
||||
FROM mabase_prod.agg_host_ip_ja4_1h
|
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WHERE window_start >= now() - INTERVAL 72 HOUR
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AND host IN %(hosts)s
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GROUP BY host, hour
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"""
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hourly_res = db.query(hourly_sql, {"hosts": top_hosts})
|
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|
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hourly_map: dict = defaultdict(lambda: [0] * 24)
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for row in hourly_res.result_rows:
|
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h = str(row[0])
|
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hour = int(row[1])
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hits = int(row[2])
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hourly_map[h][hour] += hits
|
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|
||||
items = []
|
||||
for host in top_hosts:
|
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entry = dict(host_stats[host])
|
||||
entry["hourly_hits"] = hourly_map[host]
|
||||
items.append(entry)
|
||||
|
||||
return {"items": items}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/matrix")
|
||||
async def get_heatmap_matrix():
|
||||
"""Matrice top-15 hôtes × 24 heures (sum hits) sur les 72 dernières heures."""
|
||||
try:
|
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top_sql = """
|
||||
SELECT host, sum(hits) AS total_hits
|
||||
FROM mabase_prod.agg_host_ip_ja4_1h
|
||||
WHERE window_start >= now() - INTERVAL 72 HOUR
|
||||
GROUP BY host
|
||||
ORDER BY total_hits DESC
|
||||
LIMIT 15
|
||||
"""
|
||||
top_res = db.query(top_sql)
|
||||
top_hosts = [str(r[0]) for r in top_res.result_rows]
|
||||
|
||||
if not top_hosts:
|
||||
return {"hosts": [], "matrix": []}
|
||||
|
||||
cell_sql = """
|
||||
SELECT
|
||||
host,
|
||||
toHour(window_start) AS hour,
|
||||
sum(hits) AS hits
|
||||
FROM mabase_prod.agg_host_ip_ja4_1h
|
||||
WHERE window_start >= now() - INTERVAL 72 HOUR
|
||||
AND host IN %(hosts)s
|
||||
GROUP BY host, hour
|
||||
"""
|
||||
cell_res = db.query(cell_sql, {"hosts": top_hosts})
|
||||
|
||||
matrix_map: dict = defaultdict(lambda: [0] * 24)
|
||||
for row in cell_res.result_rows:
|
||||
h = str(row[0])
|
||||
hour = int(row[1])
|
||||
hits = int(row[2])
|
||||
matrix_map[h][hour] += hits
|
||||
|
||||
matrix = [matrix_map[h] for h in top_hosts]
|
||||
return {"hosts": top_hosts, "matrix": matrix}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
157
backend/routes/ml_features.py
Normal file
157
backend/routes/ml_features.py
Normal file
@ -0,0 +1,157 @@
|
||||
"""
|
||||
Endpoints pour les features ML / IA (scores d'anomalies, radar, scatter)
|
||||
"""
|
||||
from fastapi import APIRouter, HTTPException, Query
|
||||
|
||||
from ..database import db
|
||||
|
||||
router = APIRouter(prefix="/api/ml", tags=["ml_features"])
|
||||
|
||||
|
||||
def _attack_type(fuzzing_index: float, hit_velocity: float,
|
||||
is_fake_nav: int, ua_ch_mismatch: int) -> str:
|
||||
if fuzzing_index > 50:
|
||||
return "brute_force"
|
||||
if hit_velocity > 1.0:
|
||||
return "flood"
|
||||
if is_fake_nav:
|
||||
return "scraper"
|
||||
if ua_ch_mismatch:
|
||||
return "spoofing"
|
||||
return "scanner"
|
||||
|
||||
|
||||
@router.get("/top-anomalies")
|
||||
async def get_top_anomalies(limit: int = Query(50, ge=1, le=500)):
|
||||
"""Top IPs anomales déduplicées par IP (max fuzzing_index), triées par fuzzing_index DESC."""
|
||||
try:
|
||||
sql = """
|
||||
SELECT
|
||||
replaceRegexpAll(toString(src_ip), '^::ffff:', '') AS ip,
|
||||
any(ja4) AS ja4,
|
||||
any(host) AS host,
|
||||
max(hits) AS hits,
|
||||
max(fuzzing_index) AS max_fuzzing,
|
||||
max(hit_velocity) AS hit_velocity,
|
||||
max(temporal_entropy) AS temporal_entropy,
|
||||
max(is_fake_navigation) AS is_fake_navigation,
|
||||
max(ua_ch_mismatch) AS ua_ch_mismatch,
|
||||
max(sni_host_mismatch) AS sni_host_mismatch,
|
||||
max(is_ua_rotating) AS is_ua_rotating,
|
||||
max(path_diversity_ratio) AS path_diversity_ratio,
|
||||
max(anomalous_payload_ratio) AS anomalous_payload_ratio,
|
||||
any(asn_label) AS asn_label,
|
||||
any(bot_name) AS bot_name
|
||||
FROM mabase_prod.view_ai_features_1h
|
||||
GROUP BY src_ip
|
||||
ORDER BY 5 DESC
|
||||
LIMIT %(limit)s
|
||||
"""
|
||||
result = db.query(sql, {"limit": limit})
|
||||
items = []
|
||||
for row in result.result_rows:
|
||||
fuzzing = float(row[4] or 0)
|
||||
velocity = float(row[5] or 0)
|
||||
fake_nav = int(row[7] or 0)
|
||||
ua_mm = int(row[8] or 0)
|
||||
items.append({
|
||||
"ip": str(row[0]),
|
||||
"ja4": str(row[1]),
|
||||
"host": str(row[2]),
|
||||
"hits": int(row[3] or 0),
|
||||
"fuzzing_index": fuzzing,
|
||||
"hit_velocity": velocity,
|
||||
"temporal_entropy": float(row[6] or 0),
|
||||
"is_fake_navigation": fake_nav,
|
||||
"ua_ch_mismatch": ua_mm,
|
||||
"sni_host_mismatch": int(row[9] or 0),
|
||||
"is_ua_rotating": int(row[10] or 0),
|
||||
"path_diversity_ratio": float(row[11] or 0),
|
||||
"anomalous_payload_ratio":float(row[12] or 0),
|
||||
"asn_label": str(row[13] or ""),
|
||||
"bot_name": str(row[14] or ""),
|
||||
"attack_type": _attack_type(fuzzing, velocity, fake_nav, ua_mm),
|
||||
})
|
||||
return {"items": items}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/ip/{ip}/radar")
|
||||
async def get_ip_radar(ip: str):
|
||||
"""Scores radar pour une IP spécifique (8 dimensions d'anomalie)."""
|
||||
try:
|
||||
sql = """
|
||||
SELECT
|
||||
avg(fuzzing_index) AS fuzzing_index,
|
||||
avg(hit_velocity) AS hit_velocity,
|
||||
avg(is_fake_navigation) AS is_fake_navigation,
|
||||
avg(ua_ch_mismatch) AS ua_ch_mismatch,
|
||||
avg(sni_host_mismatch) AS sni_host_mismatch,
|
||||
avg(orphan_ratio) AS orphan_ratio,
|
||||
avg(path_diversity_ratio) AS path_diversity_ratio,
|
||||
avg(anomalous_payload_ratio) AS anomalous_payload_ratio
|
||||
FROM mabase_prod.view_ai_features_1h
|
||||
WHERE replaceRegexpAll(toString(src_ip), '^::ffff:', '') = %(ip)s
|
||||
"""
|
||||
result = db.query(sql, {"ip": ip})
|
||||
if not result.result_rows:
|
||||
raise HTTPException(status_code=404, detail="IP not found")
|
||||
row = result.result_rows[0]
|
||||
|
||||
def _f(v) -> float:
|
||||
return float(v or 0)
|
||||
|
||||
return {
|
||||
"ip": ip,
|
||||
"fuzzing_score": min(100.0, _f(row[0])),
|
||||
"velocity_score": min(100.0, _f(row[1]) * 100),
|
||||
"fake_nav_score": _f(row[2]) * 100,
|
||||
"ua_mismatch_score": _f(row[3]) * 100,
|
||||
"sni_mismatch_score": _f(row[4]) * 100,
|
||||
"orphan_score": min(100.0, _f(row[5]) * 100),
|
||||
"path_repetition_score": max(0.0, 100 - _f(row[6]) * 100),
|
||||
"payload_anomaly_score": min(100.0, _f(row[7]) * 100),
|
||||
}
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/scatter")
|
||||
async def get_ml_scatter(limit: int = Query(200, ge=1, le=1000)):
|
||||
"""Points pour scatter plot (fuzzing_index × hit_velocity), dédupliqués par IP."""
|
||||
try:
|
||||
sql = """
|
||||
SELECT
|
||||
replaceRegexpAll(toString(src_ip), '^::ffff:', '') AS ip,
|
||||
any(ja4) AS ja4,
|
||||
max(fuzzing_index) AS max_fuzzing,
|
||||
max(hit_velocity) AS hit_velocity,
|
||||
max(hits) AS hits,
|
||||
max(is_fake_navigation) AS is_fake_navigation,
|
||||
max(ua_ch_mismatch) AS ua_ch_mismatch
|
||||
FROM mabase_prod.view_ai_features_1h
|
||||
GROUP BY src_ip
|
||||
ORDER BY 3 DESC
|
||||
LIMIT %(limit)s
|
||||
"""
|
||||
result = db.query(sql, {"limit": limit})
|
||||
points = []
|
||||
for row in result.result_rows:
|
||||
fuzzing = float(row[2] or 0)
|
||||
velocity = float(row[3] or 0)
|
||||
fake_nav = int(row[5] or 0)
|
||||
ua_mm = int(row[6] or 0)
|
||||
points.append({
|
||||
"ip": str(row[0]),
|
||||
"ja4": str(row[1]),
|
||||
"fuzzing_index":fuzzing,
|
||||
"hit_velocity": velocity,
|
||||
"hits": int(row[4] or 0),
|
||||
"attack_type": _attack_type(fuzzing, velocity, fake_nav, ua_mm),
|
||||
})
|
||||
return {"points": points}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
101
backend/routes/rotation.py
Normal file
101
backend/routes/rotation.py
Normal file
@ -0,0 +1,101 @@
|
||||
"""
|
||||
Endpoints pour la détection de la rotation de fingerprints JA4 et des menaces persistantes
|
||||
"""
|
||||
from fastapi import APIRouter, HTTPException, Query
|
||||
|
||||
from ..database import db
|
||||
|
||||
router = APIRouter(prefix="/api/rotation", tags=["rotation"])
|
||||
|
||||
|
||||
@router.get("/ja4-rotators")
|
||||
async def get_ja4_rotators(limit: int = Query(50, ge=1, le=500)):
|
||||
"""IPs qui effectuent le plus de rotation de fingerprints JA4."""
|
||||
try:
|
||||
sql = """
|
||||
SELECT
|
||||
src_ip AS ip,
|
||||
distinct_ja4_count,
|
||||
total_hits
|
||||
FROM mabase_prod.view_host_ip_ja4_rotation
|
||||
ORDER BY distinct_ja4_count DESC
|
||||
LIMIT %(limit)s
|
||||
"""
|
||||
result = db.query(sql, {"limit": limit})
|
||||
items = []
|
||||
for row in result.result_rows:
|
||||
distinct = int(row[1])
|
||||
items.append({
|
||||
"ip": str(row[0]),
|
||||
"distinct_ja4_count":distinct,
|
||||
"total_hits": int(row[2]),
|
||||
"evasion_score": min(100, distinct * 15),
|
||||
})
|
||||
return {"items": items, "total": len(items)}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/persistent-threats")
|
||||
async def get_persistent_threats(limit: int = Query(100, ge=1, le=1000)):
|
||||
"""Menaces persistantes triées par score de persistance."""
|
||||
try:
|
||||
sql = """
|
||||
SELECT
|
||||
src_ip AS ip,
|
||||
recurrence,
|
||||
worst_score,
|
||||
worst_threat_level,
|
||||
first_seen,
|
||||
last_seen
|
||||
FROM mabase_prod.view_ip_recurrence
|
||||
ORDER BY (least(100, recurrence * 20 + worst_score * 50)) DESC
|
||||
LIMIT %(limit)s
|
||||
"""
|
||||
result = db.query(sql, {"limit": limit})
|
||||
items = []
|
||||
for row in result.result_rows:
|
||||
recurrence = int(row[1])
|
||||
worst_score = float(row[2] or 0)
|
||||
items.append({
|
||||
"ip": str(row[0]),
|
||||
"recurrence": recurrence,
|
||||
"worst_score": worst_score,
|
||||
"worst_threat_level":str(row[3] or ""),
|
||||
"first_seen": str(row[4]),
|
||||
"last_seen": str(row[5]),
|
||||
"persistence_score": min(100, recurrence * 20 + worst_score * 50),
|
||||
})
|
||||
return {"items": items, "total": len(items)}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/ip/{ip}/ja4-history")
|
||||
async def get_ip_ja4_history(ip: str):
|
||||
"""Historique des JA4 utilisés par une IP donnée."""
|
||||
try:
|
||||
sql = """
|
||||
SELECT
|
||||
ja4,
|
||||
sum(hits) AS hits,
|
||||
min(window_start) AS first_seen,
|
||||
max(window_start) AS last_seen
|
||||
FROM mabase_prod.agg_host_ip_ja4_1h
|
||||
WHERE replaceRegexpAll(toString(src_ip), '^::ffff:', '') = %(ip)s
|
||||
GROUP BY ja4
|
||||
ORDER BY hits DESC
|
||||
"""
|
||||
result = db.query(sql, {"ip": ip})
|
||||
items = [
|
||||
{
|
||||
"ja4": str(row[0]),
|
||||
"hits": int(row[1]),
|
||||
"first_seen":str(row[2]),
|
||||
"last_seen": str(row[3]),
|
||||
}
|
||||
for row in result.result_rows
|
||||
]
|
||||
return {"ip": ip, "ja4_history": items, "total": len(items)}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
163
backend/routes/tcp_spoofing.py
Normal file
163
backend/routes/tcp_spoofing.py
Normal file
@ -0,0 +1,163 @@
|
||||
"""
|
||||
Endpoints pour la détection du TCP spoofing (TTL / window size anormaux)
|
||||
"""
|
||||
from fastapi import APIRouter, HTTPException, Query
|
||||
|
||||
from ..database import db
|
||||
|
||||
router = APIRouter(prefix="/api/tcp-spoofing", tags=["tcp_spoofing"])
|
||||
|
||||
|
||||
def _suspected_os(ttl: int) -> str:
|
||||
if 55 <= ttl <= 65:
|
||||
return "Linux/Mac"
|
||||
if 120 <= ttl <= 135:
|
||||
return "Windows"
|
||||
if ttl < 50:
|
||||
return "Behind proxy (depleted)"
|
||||
return "Unknown"
|
||||
|
||||
|
||||
def _declared_os(ua: str) -> str:
|
||||
ua = ua or ""
|
||||
if "Windows" in ua:
|
||||
return "Windows"
|
||||
if "Mac OS X" in ua:
|
||||
return "macOS"
|
||||
if "Linux" in ua or "Android" in ua:
|
||||
return "Linux/Android"
|
||||
return "Unknown"
|
||||
|
||||
|
||||
@router.get("/overview")
|
||||
async def get_tcp_spoofing_overview():
|
||||
"""Statistiques globales sur les détections de spoofing TCP."""
|
||||
try:
|
||||
sql = """
|
||||
SELECT
|
||||
count() AS total_detections,
|
||||
uniq(src_ip) AS unique_ips,
|
||||
countIf(tcp_ttl < 60) AS low_ttl_count,
|
||||
countIf(tcp_ttl = 0) AS zero_ttl_count
|
||||
FROM mabase_prod.view_tcp_spoofing_detected
|
||||
"""
|
||||
result = db.query(sql)
|
||||
row = result.result_rows[0]
|
||||
total_detections = int(row[0])
|
||||
unique_ips = int(row[1])
|
||||
low_ttl_count = int(row[2])
|
||||
zero_ttl_count = int(row[3])
|
||||
|
||||
ttl_sql = """
|
||||
SELECT
|
||||
tcp_ttl,
|
||||
count() AS cnt,
|
||||
uniq(src_ip) AS ips
|
||||
FROM mabase_prod.view_tcp_spoofing_detected
|
||||
GROUP BY tcp_ttl
|
||||
ORDER BY cnt DESC
|
||||
LIMIT 15
|
||||
"""
|
||||
ttl_res = db.query(ttl_sql)
|
||||
ttl_distribution = [
|
||||
{"ttl": int(r[0]), "count": int(r[1]), "ips": int(r[2])}
|
||||
for r in ttl_res.result_rows
|
||||
]
|
||||
|
||||
win_sql = """
|
||||
SELECT
|
||||
tcp_window_size,
|
||||
count() AS cnt
|
||||
FROM mabase_prod.view_tcp_spoofing_detected
|
||||
GROUP BY tcp_window_size
|
||||
ORDER BY cnt DESC
|
||||
LIMIT 10
|
||||
"""
|
||||
win_res = db.query(win_sql)
|
||||
window_size_distribution = [
|
||||
{"window_size": int(r[0]), "count": int(r[1])}
|
||||
for r in win_res.result_rows
|
||||
]
|
||||
|
||||
return {
|
||||
"total_detections": total_detections,
|
||||
"unique_ips": unique_ips,
|
||||
"low_ttl_count": low_ttl_count,
|
||||
"zero_ttl_count": zero_ttl_count,
|
||||
"ttl_distribution": ttl_distribution,
|
||||
"window_size_distribution":window_size_distribution,
|
||||
}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/list")
|
||||
async def get_tcp_spoofing_list(
|
||||
limit: int = Query(100, ge=1, le=1000),
|
||||
offset: int = Query(0, ge=0),
|
||||
):
|
||||
"""Liste paginée des détections, triée par tcp_ttl ASC."""
|
||||
try:
|
||||
count_sql = "SELECT count() FROM mabase_prod.view_tcp_spoofing_detected"
|
||||
total = int(db.query(count_sql).result_rows[0][0])
|
||||
|
||||
sql = """
|
||||
SELECT
|
||||
replaceRegexpAll(toString(src_ip), '^::ffff:', '') AS src_ip,
|
||||
ja4, tcp_ttl, tcp_window_size, first_ua
|
||||
FROM mabase_prod.view_tcp_spoofing_detected
|
||||
ORDER BY tcp_ttl ASC
|
||||
LIMIT %(limit)s OFFSET %(offset)s
|
||||
"""
|
||||
result = db.query(sql, {"limit": limit, "offset": offset})
|
||||
items = []
|
||||
for row in result.result_rows:
|
||||
ip = str(row[0])
|
||||
ja4 = str(row[1])
|
||||
ttl = int(row[2])
|
||||
window_size = int(row[3])
|
||||
ua = str(row[4] or "")
|
||||
sus_os = _suspected_os(ttl)
|
||||
dec_os = _declared_os(ua)
|
||||
spoof_flag = sus_os != dec_os and sus_os != "Unknown" and dec_os != "Unknown"
|
||||
items.append({
|
||||
"ip": ip,
|
||||
"ja4": ja4,
|
||||
"tcp_ttl": ttl,
|
||||
"tcp_window_size": window_size,
|
||||
"first_ua": ua,
|
||||
"suspected_os": sus_os,
|
||||
"declared_os": dec_os,
|
||||
"spoof_flag": spoof_flag,
|
||||
})
|
||||
return {"items": items, "total": total}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/matrix")
|
||||
async def get_tcp_spoofing_matrix():
|
||||
"""Cross-tab suspected_os × declared_os avec comptage."""
|
||||
try:
|
||||
sql = """
|
||||
SELECT src_ip, tcp_ttl, first_ua
|
||||
FROM mabase_prod.view_tcp_spoofing_detected
|
||||
"""
|
||||
result = db.query(sql)
|
||||
counts: dict = {}
|
||||
for row in result.result_rows:
|
||||
ttl = int(row[1])
|
||||
ua = str(row[2] or "")
|
||||
sus_os = _suspected_os(ttl)
|
||||
dec_os = _declared_os(ua)
|
||||
key = (sus_os, dec_os)
|
||||
counts[key] = counts.get(key, 0) + 1
|
||||
|
||||
matrix = [
|
||||
{"suspected_os": k[0], "declared_os": k[1], "count": v}
|
||||
for k, v in counts.items()
|
||||
]
|
||||
matrix.sort(key=lambda x: x["count"], reverse=True)
|
||||
return {"matrix": matrix}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
Reference in New Issue
Block a user