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
2026-03-15 23:57:27 +01:00
parent 1455e04303
commit e2bc4a47cd
16 changed files with 3499 additions and 1 deletions

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"""
Endpoints pour l'analyse des attaques par force brute sur les formulaires
"""
from fastapi import APIRouter, HTTPException, Query
from ..database import db
router = APIRouter(prefix="/api/bruteforce", tags=["bruteforce"])
@router.get("/targets")
async def get_bruteforce_targets():
"""Liste des hôtes ciblés par brute-force, triés par total_hits DESC."""
try:
sql = """
SELECT
host,
uniq(src_ip) AS unique_ips,
sum(hits) AS total_hits,
sum(query_params_count) AS total_params,
groupArray(3)(ja4) AS top_ja4s
FROM mabase_prod.view_form_bruteforce_detected
GROUP BY host
ORDER BY total_hits DESC
"""
result = db.query(sql)
items = []
for row in result.result_rows:
host = str(row[0])
unique_ips = int(row[1])
total_hits = int(row[2])
total_params= int(row[3])
top_ja4s = [str(j) for j in (row[4] or [])]
attack_type = (
"credential_stuffing"
if total_hits > 0 and total_params / total_hits > 0.5
else "enumeration"
)
items.append({
"host": host,
"unique_ips": unique_ips,
"total_hits": total_hits,
"total_params":total_params,
"attack_type": attack_type,
"top_ja4s": top_ja4s,
})
return {"items": items, "total": len(items)}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/attackers")
async def get_bruteforce_attackers(limit: int = Query(50, ge=1, le=500)):
"""Top IPs attaquantes triées par total_hits DESC."""
try:
sql = """
SELECT
src_ip AS ip,
uniq(host) AS distinct_hosts,
sum(hits) AS total_hits,
sum(query_params_count) AS total_params,
argMax(ja4, hits) AS ja4
FROM mabase_prod.view_form_bruteforce_detected
GROUP BY src_ip
ORDER BY total_hits DESC
LIMIT %(limit)s
"""
result = db.query(sql, {"limit": limit})
items = []
for row in result.result_rows:
items.append({
"ip": str(row[0]),
"distinct_hosts":int(row[1]),
"total_hits": int(row[2]),
"total_params": int(row[3]),
"ja4": str(row[4]),
})
return {"items": items, "total": len(items)}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/timeline")
async def get_bruteforce_timeline():
"""Hits par heure (dernières 72h) depuis agg_host_ip_ja4_1h."""
try:
sql = """
SELECT
toHour(window_start) AS hour,
sum(hits) AS hits,
uniq(replaceRegexpAll(toString(src_ip), '^::ffff:', '')) AS ips
FROM mabase_prod.agg_host_ip_ja4_1h
WHERE window_start >= now() - INTERVAL 72 HOUR
GROUP BY hour
ORDER BY hour ASC
"""
result = db.query(sql)
hours = []
for row in result.result_rows:
hours.append({
"hour": int(row[0]),
"hits": int(row[1]),
"ips": int(row[2]),
})
return {"hours": hours}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))