feat: ja4-platform monorepo — 5 services unified, tests & RPM builds standardized
Services: - ja4sentinel: TLS/JA4 fingerprint capture daemon (Go, libpcap) - logcorrelator: JA4 log correlation engine (Go, ClickHouse) - mod_reqin_log: Apache module (C, JSON request logging) - bot_detector: ML bot detection pipeline (Python) - dashboard: FastAPI/Streamlit analytics UI (Python) Shared libraries: - shared/go/ja4common: logger, config, shutdown, ipfilter (Go module) - shared/python/ja4_common: ClickHouseClient, ClickHouseSettings (Python package) - shared/clickhouse/: canonical SQL migrations (10 files) Build & packaging: - Unified 3-stage Dockerfile.package for Go RPMs (el8/el9/el10) - go.work workspace linking sentinel, correlator, ja4common - Makefile with test-all, build-all, rpm-* targets Fixes applied: - go.work: 1.21 → 1.24.6 (required by sentinel) - correlator Dockerfiles: golang:1.21 → golang:1.24 - replace directives in go.mod for ja4common local path - pyproject.toml: setuptools.backends → setuptools.build_meta - Removed static libpcap linking (unavailable on Rocky 9) - Fixed data races in output/writers_test.go (sync.Mutex + atomic.Int32) - Rewrote corrupted test files (logger_test.go × 2) Test coverage: - correlator: 67.1% total (unixsocket 80.5%, config 91.7%, app 83.3%, multi 87.7%, stdout 100%) - sentinel: all 10 packages pass (api, capture, config, fingerprint, ipfilter, logging, output, tlsparse) Documentation: - README.md + docs/ (architecture, development, 5 services, shared libs, DB schema & migrations) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
toto
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services/bot-detector/anubis/fetch_rules.py
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486
services/bot-detector/anubis/fetch_rules.py
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@ -0,0 +1,486 @@
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#!/usr/bin/env python3
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"""
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fetch_rules.py — Récupère TOUTES les règles Anubis depuis GitHub et les insère dans ClickHouse.
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Sources :
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- data/bots/**/*.yaml (bots pathologiques, IA, IRC)
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- data/crawlers/*.yaml (crawlers légitimes et clouds)
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- data/clients/*.yaml (clients IA agissant pour utilisateurs)
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- data/common/*.yaml (règles communes : IPs privées, etc.)
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- data/botPolicies.yaml (règles ASN et pays inline)
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Usage (depuis le container dashboard_web) :
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python /tmp/fetch_rules.py
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Variables d'environnement :
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CLICKHOUSE_HOST, CLICKHOUSE_DB, CLICKHOUSE_USER, CLICKHOUSE_PASSWORD
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"""
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import json
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import os
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import re
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import sys
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import urllib.request
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import urllib.error
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try:
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import yaml
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except ImportError:
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print("[ERREUR] pyyaml manquant.", file=sys.stderr)
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sys.exit(1)
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try:
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import clickhouse_connect
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except ImportError:
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print("[ERREUR] clickhouse-connect manquant.", file=sys.stderr)
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sys.exit(1)
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# ──────────────────────────────────────────────────────────────────────────────
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# Config
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# ──────────────────────────────────────────────────────────────────────────────
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GITHUB_API = "https://api.github.com/repos/TecharoHQ/anubis/contents"
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GITHUB_RAW = "https://raw.githubusercontent.com/TecharoHQ/anubis/main"
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# Répertoires à parcourir — ORDER CRITIQUE pour REGEXP_TREE :
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# Dans REGEXP_TREE (root-level rules), la règle avec l'ID le plus bas gagne quand plusieurs matchent.
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# → Les règles SPÉCIFIQUES doivent être chargées en PREMIER (IDs bas) pour gagner sur les catch-alls.
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# → Les catch-alls (ai-robots-txt, ai-catchall) doivent être chargés en DERNIER (IDs hauts).
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#
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# Au sein de chaque répertoire, les fichiers sont triés EN ORDRE ALPHABÉTIQUE INVERSÉ
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# pour que les règles spécifiques (noms longs) aient des IDs plus bas que les catch-alls (ai.yaml).
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DIRECTORIES = [
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("data/clients", "clients"), # Règles AI clients avec IP (openai-chatgpt-user, etc.)
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("data/bots/irc-bots", "bots/irc-bots"), # Bots IRC spécifiques
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("data/crawlers", "crawlers"), # Crawlers spécifiques + clouds
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("data/common", "common"), # IPs privées, routes communes
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("data/bots", "bots"), # Catch-alls larges (ai-robots-txt, ai-catchall) — LAST
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]
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# Fichier de politique principal (règles ASN + pays inline)
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BOT_POLICIES_PATH = "data/botPolicies.yaml"
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# UA_PARENT_OVERRIDE : mapping nom_règle → nom_parent pour forcer la hiérarchie REGEXP_TREE.
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# Conservé vide intentionnellement : l'ordre de chargement (spécifique avant catch-all)
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# garantit la priorité sans hiérarchie parent_id explicite.
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# Populer ce dict si une règle doit hériter d'une autre via parent_id dans REGEXP_TREE.
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UA_PARENT_OVERRIDE: dict[str, str] = {}
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# ──────────────────────────────────────────────────────────────────────────────
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# HTTP helpers
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# ──────────────────────────────────────────────────────────────────────────────
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def _fetch_url(url: str, timeout: int = 15) -> str | None:
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try:
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with urllib.request.urlopen(url, timeout=timeout) as resp:
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return resp.read().decode("utf-8")
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except urllib.error.URLError as e:
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print(f"[WARN] {url}: {e}", file=sys.stderr)
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return None
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def fetch_yaml_url(url: str) -> list | dict | None:
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content = _fetch_url(url)
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if content:
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return yaml.safe_load(content)
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return None
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def list_yaml_files(api_path: str) -> list[str]:
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"""
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Retourne la liste des raw URLs des fichiers .yaml/.yml dans api_path via l'API GitHub.
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Les fichiers sont triés en ordre ALPHABÉTIQUE INVERSÉ pour que les règles spécifiques
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(noms longs, ex: openai-chatgpt-user.yaml) aient un ID inférieur aux catch-alls (ai.yaml).
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"""
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content = _fetch_url(f"{GITHUB_API}/{api_path}")
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if not content:
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return []
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try:
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entries = json.loads(content)
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except json.JSONDecodeError:
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return []
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files = [
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entry for entry in entries
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if entry.get("type") == "file" and entry.get("name", "").endswith((".yaml", ".yml"))
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]
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# Tri inverse : les noms longs (spécifiques) avant les noms courts (catch-alls)
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files.sort(key=lambda e: e["name"], reverse=True)
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return [f["download_url"] for f in files]
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# ──────────────────────────────────────────────────────────────────────────────
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# Extraction des patterns UA depuis les expressions CEL-like
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# ──────────────────────────────────────────────────────────────────────────────
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def _extract_ua_from_all(conditions: list) -> str | None:
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"""Extrait une regex UA depuis une expression 'all' (ex: yandexbot userAgent.matches)."""
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for cond in conditions:
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if not isinstance(cond, str):
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continue
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m = re.search(r'userAgent\.matches\("(.+?)"\)', cond)
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if m:
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return m.group(1).replace("\\\\", "\\")
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return None
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def _extract_ua_from_any(conditions: list) -> str | None:
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"""
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Extrait une regex UA depuis une expression 'any' avec userAgent.contains(...)
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Exemple : aggressive-brazilian-scrapers.yaml
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Retourne une regex en OR : MSIE|Trident|...
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"""
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patterns = []
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for cond in conditions:
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if not isinstance(cond, str):
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continue
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m = re.search(r'userAgent\.contains\("(.+?)"\)', cond)
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if m:
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patterns.append(re.escape(m.group(1)))
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if patterns:
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return "|".join(patterns)
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return None
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def extract_ua_regex(rule: dict) -> str | None:
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"""Extrait la regex User-Agent depuis toutes les formes possibles."""
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# Forme directe
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if ua := rule.get("user_agent_regex"):
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return ua.strip()
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expr = rule.get("expression")
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if not expr:
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return None
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# Expression scalaire (CEL string)
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if isinstance(expr, str):
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m = re.search(r'userAgent\.matches\("(.+?)"\)', expr)
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if m:
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return m.group(1).replace("\\\\", "\\")
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m = re.search(r'userAgent\.contains\("(.+?)"\)', expr)
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if m:
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return re.escape(m.group(1))
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return None
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# Expression structurée dict
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if isinstance(expr, dict):
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if ua := _extract_ua_from_all(expr.get("all", [])):
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return ua
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if ua := _extract_ua_from_any(expr.get("any", [])):
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return ua
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return None
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# ──────────────────────────────────────────────────────────────────────────────
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# Parse des fichiers YAML
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# ──────────────────────────────────────────────────────────────────────────────
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def parse_file(
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url: str,
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category: str,
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ua_name_to_id: dict,
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ua_id_counter_ref: list, # [int] — compteur mutable partagé entre appels
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rule_id_counter_ref: list, # [int] — idem
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) -> tuple[list[dict], list[dict]]:
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"""
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Parse un fichier YAML Anubis.
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Retourne (ua_rules, ip_rules).
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Note : ua_name_to_id est maintenu pour supporter la hiérarchie parent_id dans
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REGEXP_TREE (via UA_PARENT_OVERRIDE). Tant que UA_PARENT_OVERRIDE est vide,
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parent_id vaut toujours 0 et ua_name_to_id n'est pas consulté en pratique.
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"""
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data = fetch_yaml_url(url)
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if not data or not isinstance(data, list):
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return [], []
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ua_rules, ip_rules = [], []
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for rule in data:
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if not isinstance(rule, dict):
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continue
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# Ignorer les imports (références à d'autres fichiers)
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if "import" in rule:
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continue
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name = rule.get("name", "").strip()
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action = rule.get("action", "").strip()
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if not name or not action:
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continue
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remote_addrs = [str(c).strip() for c in rule.get("remote_addresses", []) if c]
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has_ip = bool(remote_addrs)
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rule_id = rule_id_counter_ref[0]
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rule_id_counter_ref[0] += 1
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# ── User-Agent regex ─────────────────────────────────────────────────
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ua_regex = extract_ua_regex(rule)
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if ua_regex:
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parent_name = UA_PARENT_OVERRIDE.get(name)
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parent_id = ua_name_to_id.get(parent_name, 0) if parent_name else 0
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uid = ua_id_counter_ref[0]
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ua_id_counter_ref[0] += 1
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ua_name_to_id[name] = uid
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ua_rules.append({
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"id": uid,
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"parent_id": parent_id,
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"regexp": ua_regex,
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"bot_name": name,
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"action": action,
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"has_ip": "1" if has_ip else "0",
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"rule_id": str(rule_id),
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"category": category,
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})
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# ── IP/CIDR ranges ───────────────────────────────────────────────────
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has_ua = bool(ua_regex)
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for cidr in remote_addrs:
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ip_rules.append({
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"prefix": cidr,
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"bot_name": name,
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"action": action,
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"rule_id": rule_id,
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"has_ua": 1 if has_ua else 0,
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"category": category,
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})
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return ua_rules, ip_rules
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def parse_bot_policies_inline(url: str) -> tuple[list[dict], list[dict]]:
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"""
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Parse botPolicies.yaml pour les règles inline avec geoip.countries et asns.match.
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Retourne (asn_rules, country_rules).
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"""
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data = fetch_yaml_url(url)
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if not data or not isinstance(data, dict):
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return [], []
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asn_rules: list[dict] = []
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country_rules: list[dict] = []
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for rule in data.get("bots", []):
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if not isinstance(rule, dict):
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continue
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if "import" in rule:
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continue
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||||
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||||
name = rule.get("name", "").strip()
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||||
action = rule.get("action", "").strip()
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||||
if not name or not action:
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continue
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# ASN rules
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asns = rule.get("asns", {})
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if isinstance(asns, dict):
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for asn in asns.get("match", []):
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asn_rules.append({
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"asn": int(asn),
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"bot_name": name,
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||||
"action": action,
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||||
"category": "policies",
|
||||
})
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||||
|
||||
# Country rules
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||||
geoip = rule.get("geoip", {})
|
||||
if isinstance(geoip, dict):
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for cc in geoip.get("countries", []):
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country_rules.append({
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||||
"country_code": str(cc).upper(),
|
||||
"bot_name": name,
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"action": action,
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||||
"category": "policies",
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||||
})
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||||
|
||||
return asn_rules, country_rules
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||||
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||||
|
||||
# ──────────────────────────────────────────────────────────────────────────────
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||||
# Collecte de toutes les règles
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||||
# ──────────────────────────────────────────────────────────────────────────────
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||||
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||||
def collect_all_rules() -> tuple[list, list, list, list]:
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||||
"""Retourne (ua_rules, ip_rules, asn_rules, country_rules)."""
|
||||
ua_name_to_id: dict[str, int] = {}
|
||||
ua_id_counter_ref: list[int] = [1]
|
||||
rule_id_counter: list[int] = [1]
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||||
|
||||
all_ua: list[dict] = []
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||||
all_ip: list[dict] = []
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||||
|
||||
for api_path, category in DIRECTORIES:
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||||
print(f"[INFO] Parcours de {api_path} ({category})…")
|
||||
file_urls = list_yaml_files(api_path)
|
||||
print(f" {len(file_urls)} fichiers trouvés")
|
||||
for url in file_urls:
|
||||
ua, ip = parse_file(url, category, ua_name_to_id, ua_id_counter_ref, rule_id_counter)
|
||||
all_ua.extend(ua)
|
||||
all_ip.extend(ip)
|
||||
|
||||
# Règles ASN + pays depuis botPolicies.yaml
|
||||
print(f"[INFO] Lecture de botPolicies.yaml…")
|
||||
policies_url = f"{GITHUB_RAW}/{BOT_POLICIES_PATH}"
|
||||
asn_rules, country_rules = parse_bot_policies_inline(policies_url)
|
||||
|
||||
return all_ua, all_ip, asn_rules, country_rules
|
||||
|
||||
|
||||
# ──────────────────────────────────────────────────────────────────────────────
|
||||
# ClickHouse
|
||||
# ──────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
def get_ch_client():
|
||||
return clickhouse_connect.get_client(
|
||||
host=os.environ.get("CLICKHOUSE_HOST", "clickhouse"),
|
||||
database=os.environ.get("CLICKHOUSE_DB", "mabase_prod"),
|
||||
username=os.environ.get("CLICKHOUSE_USER", "admin"),
|
||||
password=os.environ.get("CLICKHOUSE_PASSWORD", ""),
|
||||
)
|
||||
|
||||
|
||||
def insert_ua_rules(client, rules: list[dict]) -> None:
|
||||
if not rules:
|
||||
print("[INFO] Aucune règle UA.")
|
||||
return
|
||||
client.command("TRUNCATE TABLE mabase_prod.anubis_ua_rules")
|
||||
# REGEXP_TREE format : id, parent_id, regexp, keys[], values[]
|
||||
# keys = ['bot_name', 'action', 'has_ip', 'rule_id', 'category']
|
||||
data = [
|
||||
[
|
||||
r["id"], r["parent_id"], r["regexp"],
|
||||
["bot_name", "action", "has_ip", "rule_id", "category"],
|
||||
[r["bot_name"], r["action"], r["has_ip"], r["rule_id"], r["category"]],
|
||||
]
|
||||
for r in rules
|
||||
]
|
||||
client.insert("mabase_prod.anubis_ua_rules", data,
|
||||
column_names=["id", "parent_id", "regexp", "keys", "values"])
|
||||
print(f"[OK] {len(rules)} règles UA insérées.")
|
||||
|
||||
|
||||
def insert_ip_rules(client, rules: list[dict]) -> None:
|
||||
if not rules:
|
||||
print("[INFO] Aucune règle IP.")
|
||||
return
|
||||
client.command("TRUNCATE TABLE mabase_prod.anubis_ip_rules")
|
||||
data = [
|
||||
[r["prefix"], r["bot_name"], r["action"],
|
||||
r["rule_id"], r["has_ua"], r["category"]]
|
||||
for r in rules
|
||||
]
|
||||
client.insert("mabase_prod.anubis_ip_rules", data,
|
||||
column_names=["prefix", "bot_name", "action", "rule_id", "has_ua", "category"])
|
||||
print(f"[OK] {len(rules)} règles IP insérées.")
|
||||
|
||||
|
||||
def insert_asn_rules(client, rules: list[dict]) -> None:
|
||||
if not rules:
|
||||
print("[INFO] Aucune règle ASN.")
|
||||
return
|
||||
client.command("TRUNCATE TABLE mabase_prod.anubis_asn_rules")
|
||||
data = [[r["asn"], r["bot_name"], r["action"], r["category"]] for r in rules]
|
||||
client.insert("mabase_prod.anubis_asn_rules", data,
|
||||
column_names=["asn", "bot_name", "action", "category"])
|
||||
print(f"[OK] {len(rules)} règles ASN insérées.")
|
||||
|
||||
|
||||
def insert_country_rules(client, rules: list[dict]) -> None:
|
||||
if not rules:
|
||||
print("[INFO] Aucune règle pays.")
|
||||
return
|
||||
client.command("TRUNCATE TABLE mabase_prod.anubis_country_rules")
|
||||
data = [[r["country_code"], r["bot_name"], r["action"], r["category"]] for r in rules]
|
||||
client.insert("mabase_prod.anubis_country_rules", data,
|
||||
column_names=["country_code", "bot_name", "action", "category"])
|
||||
print(f"[OK] {len(rules)} règles pays insérées.")
|
||||
|
||||
|
||||
def reload_dicts(client) -> None:
|
||||
dicts = [
|
||||
"mabase_prod.dict_anubis_ua",
|
||||
"mabase_prod.dict_anubis_ip",
|
||||
"mabase_prod.dict_anubis_asn",
|
||||
"mabase_prod.dict_anubis_country",
|
||||
]
|
||||
for d in dicts:
|
||||
try:
|
||||
client.command(f"SYSTEM RELOAD DICTIONARY {d}")
|
||||
print(f"[OK] {d} rechargé.")
|
||||
except Exception as e:
|
||||
print(f"[WARN] Rechargement {d}: {e}", file=sys.stderr)
|
||||
|
||||
|
||||
# ──────────────────────────────────────────────────────────────────────────────
|
||||
# Rapport
|
||||
# ──────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
def print_summary(ua_rules, ip_rules, asn_rules, country_rules):
|
||||
print("\n── Règles UA ──")
|
||||
by_cat: dict[str, list] = {}
|
||||
for r in ua_rules:
|
||||
by_cat.setdefault(r["category"], []).append(r)
|
||||
for cat, rules in sorted(by_cat.items()):
|
||||
print(f" [{cat}] {len(rules)} règle(s)")
|
||||
for r in rules[:5]:
|
||||
has = " [+IP]" if r["has_ip"] == "1" else ""
|
||||
par = f" [parent={r['parent_id']}]" if r["parent_id"] else ""
|
||||
print(f" [{r['action']:9s}] {r['bot_name']}{has}{par}: {r['regexp'][:50]}")
|
||||
if len(rules) > 5:
|
||||
print(f" … et {len(rules) - 5} autres")
|
||||
|
||||
print(f"\n── Règles IP : {len(ip_rules)} CIDRs ──")
|
||||
by_bot: dict[str, list] = {}
|
||||
for r in ip_rules:
|
||||
by_bot.setdefault(r["bot_name"], []).append(r)
|
||||
for bot, rs in sorted(by_bot.items())[:15]:
|
||||
print(f" [{rs[0]['action']:9s}] {bot}: {len(rs)} CIDRs (cat={rs[0]['category']}, has_ua={rs[0]['has_ua']})")
|
||||
if len(by_bot) > 15:
|
||||
print(f" … et {len(by_bot) - 15} autres bots")
|
||||
|
||||
if asn_rules:
|
||||
print(f"\n── Règles ASN : {len(asn_rules)} ──")
|
||||
for r in asn_rules:
|
||||
print(f" [{r['action']:9s}] ASN {r['asn']}: {r['bot_name']}")
|
||||
|
||||
if country_rules:
|
||||
print(f"\n── Règles pays : {len(country_rules)} ──")
|
||||
for r in country_rules:
|
||||
print(f" [{r['action']:9s}] {r['country_code']}: {r['bot_name']}")
|
||||
|
||||
|
||||
# ──────────────────────────────────────────────────────────────────────────────
|
||||
# Main
|
||||
# ──────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
def main() -> None:
|
||||
print("[INFO] Collecte des règles Anubis depuis GitHub…")
|
||||
ua_rules, ip_rules, asn_rules, country_rules = collect_all_rules()
|
||||
|
||||
total = len(ua_rules) + len(ip_rules) + len(asn_rules) + len(country_rules)
|
||||
print(f"\n[INFO] {len(ua_rules)} règles UA, {len(ip_rules)} CIDRs IP, "
|
||||
f"{len(asn_rules)} ASN, {len(country_rules)} pays (total={total})")
|
||||
|
||||
if total == 0:
|
||||
print("[ERREUR] Aucune règle récupérée.", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
print_summary(ua_rules, ip_rules, asn_rules, country_rules)
|
||||
|
||||
print("\n[INFO] Connexion à ClickHouse…")
|
||||
client = get_ch_client()
|
||||
|
||||
insert_ua_rules(client, ua_rules)
|
||||
insert_ip_rules(client, ip_rules)
|
||||
insert_asn_rules(client, asn_rules)
|
||||
insert_country_rules(client, country_rules)
|
||||
reload_dicts(client)
|
||||
|
||||
print("\n[OK] Règles Anubis chargées avec succès.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user