feat: clustering multi-métriques + TCP fingerprinting amélioré

- 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>
This commit is contained in:
SOC Analyst
2026-03-18 18:22:57 +01:00
parent c887846af5
commit e2db8ca84e
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"""
Service de fingerprinting OS par signature TCP — approche multi-signal inspirée de p0f.
Signaux utilisés (par ordre de poids) :
1. TTL initial estimé (→ famille OS : Linux/Mac=64, Windows=128, Cisco/BSD=255)
2. MSS (→ type de réseau : Ethernet=1460, PPPoE=1452, VPN=1380-1420)
3. Taille de fenêtre (→ signature OS précise)
4. Facteur d'échelle (→ affine la version du kernel/stack TCP)
Références :
- p0f v3 (Michal Zalewski) — passive OS fingerprinting
- Nmap OS detection (Gordon Lyon)
- "OS Fingerprinting Revisited" (Beverly, 2004)
- "Passive OS fingerprinting" (Orebaugh, Ramirez)
- Recherche sur Masscan/ZMap : signatures SYN craftées connues
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Optional
# ─── Constantes ───────────────────────────────────────────────────────────────
_INITIAL_TTLS = (64, 128, 255)
# MSS → type de chemin réseau (MTU - 40 octets d'en-têtes IP+TCP)
_MSS_PATH: list[tuple[range, str]] = [
(range(1461, 9001), "Ethernet/Jumbo"), # jumbo frames (CDN/datacenter)
(range(1460, 1461), "Ethernet directe"), # MTU 1500 standard
(range(1453, 1460), "Ethernet directe"), # légèrement réduit (padding)
(range(1452, 1453), "PPPoE/DSL"), # MTU 1492
(range(1436, 1452), "PPPoE/DSL ajusté"), # variations DSL
(range(1420, 1436), "VPN léger"), # WireGuard / IPsec transport
(range(1380, 1420), "VPN/Tunnel"), # OpenVPN / L2TP
(range(1300, 1380), "VPN double ou mobile"),
(range(0, 1300), "Lien bas débit / GPRS"),
]
# ─── Base de signatures OS ─────────────────────────────────────────────────────
#
# Format : chaque entrée est un dict avec :
# ttl : int — TTL initial attendu (64 | 128 | 255)
# win : set[int]|None — tailles de fenêtre attendues (None = ignorer)
# scale : set[int]|None — facteurs d'échelle attendus (None = ignorer)
# mss : set[int]|None — valeurs MSS attendues (None = ignorer)
# name : str — libellé affiché
# conf : float — poids de confiance de base (01)
# bot : bool — outil de scan/bot connu
_SIGNATURES: list[dict] = [
# ══════════════════════════════════════════════════════
# OUTILS DE SCAN ET BOTS CONNUS (priorité maximale)
# ══════════════════════════════════════════════════════
# Masscan / scanner personnalisé avec stack Linux modifiée (PPPoE MSS=1452)
# Pattern très présent dans les données : ~111k requêtes, UA spoofé macOS/Windows
{
"ttl": 64, "win": {5808}, "scale": {4}, "mss": {1452},
"name": "Bot-Scanner/Masscan", "conf": 0.97, "bot": True,
},
# Masscan TTL=255 (mode direct, pas de hop)
{
"ttl": 255, "win": {1024}, "scale": {0}, "mss": None,
"name": "Bot-ZMap/Masscan", "conf": 0.96, "bot": True,
},
# Mirai variant (petite fenêtre, pas de scale, TTL Linux)
{
"ttl": 64, "win": {1024, 2048}, "scale": {0}, "mss": {1460},
"name": "Bot-Mirai", "conf": 0.92, "bot": True,
},
# Mirai variant (petite fenêtre Windows)
{
"ttl": 128, "win": {1024, 2048}, "scale": {0}, "mss": {1460},
"name": "Bot-Mirai/Win", "conf": 0.92, "bot": True,
},
# Scapy / forge manuelle (fenêtre 8192 exactement + TTL 64 + pas de scale)
{
"ttl": 64, "win": {8192}, "scale": {0}, "mss": {1460},
"name": "Bot-Scapy/Forge", "conf": 0.85, "bot": True,
},
# Nmap SYN scan (window=1024, MSS=1460, TTL=64 ou 128)
{
"ttl": 64, "win": {1}, "scale": None, "mss": None,
"name": "Bot-ZMap", "conf": 0.95, "bot": True,
},
# ══════════════════════════════════════════════════════
# WINDOWS
# ══════════════════════════════════════════════════════
# Windows 10 / 11 — signature standard (LAN direct)
{
"ttl": 128, "win": {64240}, "scale": {8}, "mss": {1460},
"name": "Windows 10/11", "conf": 0.93, "bot": False,
},
# Windows 10/11 — derrière VPN/proxy (MSS réduit)
{
"ttl": 128, "win": {64240}, "scale": {8}, "mss": {1380, 1400, 1412, 1420, 1440},
"name": "Windows 10/11 (VPN)", "conf": 0.90, "bot": False,
},
# Windows Server 2019/2022 — grande fenêtre
{
"ttl": 128, "win": {65535, 131072}, "scale": {8, 9}, "mss": {1460},
"name": "Windows Server", "conf": 0.88, "bot": False,
},
# Windows 7/8.1
{
"ttl": 128, "win": {8192, 65535}, "scale": {4, 8}, "mss": {1460},
"name": "Windows 7/8", "conf": 0.83, "bot": False,
},
# Windows générique (TTL=128, scale=8, tout MSS)
{
"ttl": 128, "win": None, "scale": {8}, "mss": None,
"name": "Windows", "conf": 0.70, "bot": False,
},
# ══════════════════════════════════════════════════════
# ANDROID (stack BBRv2 / CUBIC moderne)
# ══════════════════════════════════════════════════════
# Android 10+ — scale=9 ou 10, grande fenêtre (BBRv2)
{
"ttl": 64, "win": {65535, 131072, 42340, 35844}, "scale": {9, 10}, "mss": {1460},
"name": "Android 10+", "conf": 0.82, "bot": False,
},
# Android via proxy TTL=128 (app Facebook, TikTok etc. passant par infra)
{
"ttl": 128, "win": {62727, 65535}, "scale": {7}, "mss": {1460},
"name": "Android/App (proxy)", "conf": 0.75, "bot": False,
},
# Android derrière VPN (MSS réduit)
{
"ttl": 64, "win": {65535, 59640, 63940}, "scale": {8, 9, 10}, "mss": {1380, 1390, 1400, 1418, 1420},
"name": "Android (VPN/mobile)", "conf": 0.78, "bot": False,
},
# ══════════════════════════════════════════════════════
# iOS / macOS
# ══════════════════════════════════════════════════════
# iOS 14+ / macOS Monterey+ — scale=6, win=65535 (signature XNU)
{
"ttl": 64, "win": {65535, 32768}, "scale": {6}, "mss": {1460},
"name": "iOS/macOS", "conf": 0.87, "bot": False,
},
# macOS Sonoma+ / iOS 17+ (scale=9, fenêtre plus grande)
{
"ttl": 64, "win": {65535, 32768}, "scale": {9}, "mss": {1460},
"name": "macOS Sonoma+/iOS 17+", "conf": 0.83, "bot": False,
},
# macOS derrière VPN (MSS réduit)
{
"ttl": 64, "win": {65535}, "scale": {6, 9}, "mss": {1380, 1400, 1412, 1436},
"name": "iOS/macOS (VPN)", "conf": 0.80, "bot": False,
},
# ══════════════════════════════════════════════════════
# LINUX (desktop/serveur)
# ══════════════════════════════════════════════════════
# Linux 5.x+ — scale=7, win=64240 ou 65535 (kernel ≥ 4.19)
{
"ttl": 64, "win": {64240, 65320}, "scale": {7}, "mss": {1460},
"name": "Linux 5.x+", "conf": 0.86, "bot": False,
},
# Linux 4.x / ChromeOS
{
"ttl": 64, "win": {29200, 65535, 43690, 32120}, "scale": {7}, "mss": {1460},
"name": "Linux 4.x/ChromeOS", "conf": 0.83, "bot": False,
},
# Linux derrière VPN (MSS réduit)
{
"ttl": 64, "win": {64240, 65535, 42600}, "scale": {7}, "mss": {1380, 1400, 1420, 1436},
"name": "Linux (VPN)", "conf": 0.80, "bot": False,
},
# Linux 2.6.x (ancien — win=5840/14600)
{
"ttl": 64, "win": {5840, 14600, 16384}, "scale": {4, 5}, "mss": {1460},
"name": "Linux 2.6", "conf": 0.78, "bot": False,
},
# ══════════════════════════════════════════════════════
# BSD / ÉQUIPEMENTS RÉSEAU / CDN
# ══════════════════════════════════════════════════════
# FreeBSD / OpenBSD (initial TTL=64)
{
"ttl": 64, "win": {65535}, "scale": {6}, "mss": {512, 1460},
"name": "FreeBSD/OpenBSD", "conf": 0.74, "bot": False,
},
# Cisco IOS / équipements réseau (initial TTL=255, fenêtre petite)
{
"ttl": 255, "win": {4096, 4128, 8760}, "scale": {0, 1, 2}, "mss": {512, 1460},
"name": "Cisco/Réseau", "conf": 0.87, "bot": False,
},
# CDN / Applebot (TTL=255, jumbo MSS, fenêtre élevée)
{
"ttl": 255, "win": {26883, 65535, 59640}, "scale": {7, 8}, "mss": {8373, 8365, 1460},
"name": "CDN/Applebot (jumbo)", "conf": 0.85, "bot": False,
},
# BSD/Unix générique (TTL=255)
{
"ttl": 255, "win": None, "scale": {6, 7, 8}, "mss": {1460},
"name": "BSD/Unix", "conf": 0.68, "bot": False,
},
]
# ─── Data classes ──────────────────────────────────────────────────────────────
@dataclass
class OsFingerprint:
os_name: str
initial_ttl: int
hop_count: int
confidence: float
is_bot_tool: bool
network_path: str
@dataclass
class SpoofResult:
is_spoof: bool
is_bot_tool: bool
reason: str
# ─── Fonctions utilitaires ─────────────────────────────────────────────────────
def _estimate_initial_ttl(observed_ttl: int) -> tuple[int, int]:
"""Retourne (initial_ttl, hop_count).
Cherche le TTL standard le plus bas >= observed_ttl.
Rejette les hop counts > 45 (réseau légitimement long = peu probable).
"""
if observed_ttl <= 0:
return 0, -1
for initial in _INITIAL_TTLS:
if observed_ttl <= initial:
hop = initial - observed_ttl
if hop <= 45:
return initial, hop
return 255, 255 - observed_ttl # TTL > 255 impossible, fallback
def _infer_network_path(mss: int) -> str:
"""Retourne le type de chemin réseau probable à partir du MSS."""
if mss <= 0:
return "Inconnu"
for rng, label in _MSS_PATH:
if mss in rng:
return label
return "Inconnu"
def _os_family(os_name: str) -> str:
"""Réduit un nom OS détaillé à sa famille pour comparaison avec l'UA."""
n = os_name.lower()
if "windows" in n:
return "Windows"
if "android" in n:
return "Android"
if "ios" in n or "macos" in n or "iphone" in n or "ipad" in n:
return "Apple"
if "linux" in n or "chromeos" in n:
return "Linux"
if "bsd" in n or "cisco" in n or "cdn" in n or "réseau" in n:
return "Network"
if "bot" in n or "scanner" in n or "mirai" in n or "zmap" in n:
return "Bot"
return "Unknown"
def _ua_os_family(declared_os: str) -> str:
"""Réduit l'OS déclaré (UA) à sa famille."""
mapping = {
"Windows": "Windows",
"Android": "Android",
"iOS": "Apple",
"macOS": "Apple",
"Linux": "Linux",
"ChromeOS": "Linux",
"BSD": "Network",
}
return mapping.get(declared_os, "Unknown")
# ─── Fonctions publiques ───────────────────────────────────────────────────────
def declared_os_from_ua(ua: str) -> str:
"""Infère l'OS déclaré à partir du User-Agent."""
ua = ua or ""
ul = ua.lower()
if not ul:
return "Unknown"
if "windows nt" in ul:
return "Windows"
if "android" in ul:
return "Android"
if "iphone" in ul or "ipad" in ul or "cpu iphone" in ul or "cpu ipad" in ul:
return "iOS"
if "mac os x" in ul or "macos" in ul:
return "macOS"
if "cros" in ul or "chromeos" in ul:
return "ChromeOS"
if "linux" in ul:
return "Linux"
if "freebsd" in ul or "openbsd" in ul or "netbsd" in ul:
return "BSD"
return "Unknown"
def fingerprint_os(ttl: int, win: int, scale: int, mss: int) -> OsFingerprint:
"""Fingerprint OS multi-signal avec scoring pondéré.
Poids des signaux :
- TTL initial 40 % (discriminant principal : famille OS)
- MSS 30 % (type de réseau ET OS)
- Fenêtre TCP 20 % (version/distrib précise)
- Scale 10 % (affine la version kernel)
"""
initial_ttl, hop_count = _estimate_initial_ttl(ttl)
network_path = _infer_network_path(mss)
if initial_ttl == 0:
return OsFingerprint(
os_name="Unknown", initial_ttl=0, hop_count=-1,
confidence=0.0, is_bot_tool=False, network_path=network_path,
)
best_score: float = -1.0
best_sig: Optional[dict] = None
for sig in _SIGNATURES:
# Le TTL est un filtre strict — pas de correspondance, on passe
if sig["ttl"] != initial_ttl:
continue
score: float = 0.40 # Score de base pour correspondance TTL
# MSS (poids 0.30)
if sig["mss"] is not None:
score += 0.30 if mss in sig["mss"] else -0.12
# Fenêtre (poids 0.20)
if sig["win"] is not None:
score += 0.20 if win in sig["win"] else -0.08
# Scale (poids 0.10)
if sig["scale"] is not None:
score += 0.10 if scale in sig["scale"] else -0.04
# Pénalité si hop count anormalement élevé (>30 hops)
if hop_count > 30:
score -= 0.05
if score > best_score:
best_score = score
best_sig = sig
if best_sig and best_score >= 0.38:
# Pondérer la confiance finale par le score et le conf de la signature
raw_conf = best_score * best_sig["conf"]
confidence = round(min(max(raw_conf, 0.0), 1.0), 2)
return OsFingerprint(
os_name=best_sig["name"],
initial_ttl=initial_ttl,
hop_count=hop_count,
confidence=confidence,
is_bot_tool=best_sig["bot"],
network_path=network_path,
)
# Repli : classification TTL seule (confiance minimale)
fallback = {64: "Linux/macOS", 128: "Windows", 255: "Cisco/BSD"}
return OsFingerprint(
os_name=fallback.get(initial_ttl, "Unknown"),
initial_ttl=initial_ttl,
hop_count=hop_count,
confidence=round(0.40 * 0.65, 2), # confiance faible
is_bot_tool=False,
network_path=network_path,
)
def detect_spoof(fp: OsFingerprint, declared_os: str) -> SpoofResult:
"""Détecte les incohérences OS entre TCP et UA.
Règles :
1. Outil de scan connu → spoof/bot, quelle que soit l'UA
2. Confiance < 0.50 → indéterminable
3. OS incompatibles → spoof confirmé
4. Cohérent → OK
"""
if fp.is_bot_tool:
return SpoofResult(
is_spoof=True,
is_bot_tool=True,
reason=f"Outil de scan détecté ({fp.os_name})",
)
if fp.confidence < 0.50 or fp.os_name == "Unknown" or declared_os == "Unknown":
return SpoofResult(
is_spoof=False,
is_bot_tool=False,
reason="Corrélation insuffisante",
)
tcp_family = _os_family(fp.os_name)
ua_family = _ua_os_family(declared_os)
# Les familles Network/Bot sont toujours suspectes si l'UA prétend être un navigateur
if tcp_family == "Network" and ua_family not in ("Network", "Unknown"):
return SpoofResult(
is_spoof=True,
is_bot_tool=False,
reason=f"Équipement réseau/CDN (TCP) vs {declared_os} (UA)",
)
if tcp_family == "Unknown" or ua_family == "Unknown":
return SpoofResult(is_spoof=False, is_bot_tool=False, reason="OS indéterminé")
# Android passant par un proxy infra (ex: Facebook app → proxy Windows)
# → pas forcément un spoof, noté mais non flaggé
if declared_os == "Android" and tcp_family == "Windows" and "proxy" in fp.os_name.lower():
return SpoofResult(is_spoof=False, is_bot_tool=False, reason="App mobile via proxy infra")
if tcp_family != ua_family:
return SpoofResult(
is_spoof=True,
is_bot_tool=False,
reason=f"TCP→{tcp_family} vs UA→{ua_family}",
)
return SpoofResult(is_spoof=False, is_bot_tool=False, reason="Cohérent")