039086a0b3
feat: nouvelles techniques de détection et page tactiques SOC
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SQL:
- Ajout 5 colonnes d'agrégation (count_xff, count_unusual_ct,
count_non_std_port, count_login_post, sec_ch_mobile_mismatch)
- Exposition de 5 features calculées dans view_ai_features_1h
- Migration ALTER TABLE pour déploiements existants
Bot-detector:
- 7 nouvelles features ML (has_xff, unusual_content_type_ratio,
non_standard_port_ratio, login_post_concentration,
sec_ch_mobile_mismatch, true_window_size, window_mss_ratio)
- Propagation campaign_id vers ml_all_scores (était toujours -1)
- Escalade campagne : HIGH→CRITICAL si cluster ≥5 membres
Dashboard:
- Page Tactiques SOC : brute-force, rotation JA4, récurrence,
alertes temps réel — 4 KPIs + 4 panneaux + infobulles doc
- Ajout fmtDate() helper global
- Navigation sidebar mise à jour
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
2026-04-09 14:29:18 +02:00
7d09c614c3
feat: browser JA4 detection, Anubis bot rules, worldwide ASN data
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- Add generate_browser_ja4.py: 1,186 browser JA4 fingerprints from FoxIO + ja4db.com
covering 11 families (Chromium, Firefox, Safari, Edge, Tor, Opera, Vivaldi...)
- Rewrite generate_bot_ip.py: Anubis YAML rules (Google, Bing, Apple, DuckDuck,
OpenAI, Perplexity bots) + Tor exit nodes + cloud scanner IPs (3,555 entries)
- Rewrite generate_asn_data.py: worldwide iptoasn.com data (78,049 ASNs, 714K CIDRs)
- Add dict_browser_ja4 ClickHouse dictionary + browser_family in AI features views
- Add /api/browsers dashboard endpoint
- Fix CSV quoting for fields containing commas (User-Agent strings)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
2026-04-08 15:27:37 +02:00
b735bab5a5
feat(dashboard): rebuild SOC dashboard + fix ClickHouse SQL
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Complete rewrite of the SOC dashboard using FastAPI + Jinja2 + htmx + Chart.js + Tailwind CSS.
Replaces the old React/Vite frontend with server-rendered templates.
Dashboard pages:
- Overview: KPIs, timeline chart, threat distribution, top IPs
- Detections: paginated/filterable anomaly table
- Scores: ml_all_scores with AE error & XGB prob columns
- Traffic: HTTP logs with method/host filters
- IP Investigation: full deep-dive (scores, features, HTTP logs, classify)
- Classification: SOC feedback form + history
- Features: AI + thesis feature stats
- Models: scoring stats + model metadata
API: 9 JSON endpoints with parameterized queries, sort whitelists
SQL fixes:
- 05_aggregation_tables: add deduplicate_merge_projection_mode
- 11_views: fix nested aggregate (argMax inside sum)
- 12_thesis_features: remove invalid 'let' bindings, fix groupArrayIf type
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
2026-04-08 03:21:05 +02:00
f4ffe3410a
perf(clickhouse): P1 — partition + skipping indexes sur ml_detected_anomalies, http_logs, agg_host_ip_ja4_1h
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Problème : toutes les requêtes du dashboard WHERE detected_at >= now() - INTERVAL N
faisaient un full scan car ml_detected_anomalies avait ORDER BY (src_ip) sans
partition ni index temporel.
Changements :
- 06_ml_tables.sql :
* ml_detected_anomalies : PARTITION BY toYYYYMMDD(detected_at)
→ élagage de partitions journalières sur toutes les requêtes temporelles
* INDEX idx_detected_at (minmax) → skip des granules hors plage
* INDEX idx_threat_level set(8) → skip pour countIf(threat_level = ...)
* INDEX idx_bot_name bloom_filter → skip pour bot_name != ''
* ttl_only_drop_parts = 1 → TTL par suppression de partition entière
* ml_all_scores : même traitement (PARTITION BY + 2 indexes)
- 04_mv_http_logs.sql :
* http_logs : INDEX idx_src_ip bloom_filter(0.01)
→ les requêtes WHERE src_ip = X (analysis.py, variability.py) sautent
~90% des granules sans scanner toute la plage temporelle
* INDEX idx_ja4 bloom_filter(0.01) → idem pour filtres JA4
- 05_aggregation_tables.sql :
* agg_host_ip_ja4_1h : PROJECTION proj_by_ip ORDER BY (src_ip, window_start, ...)
→ investigation_summary.py et rotation.py (WHERE src_ip = X) utilisent
automatiquement la projection au lieu de scanner tous les window_start
- 10_perf_indexes.sql (nouveau) :
* Migration ALTER TABLE pour instances existantes
* ADD INDEX + MATERIALIZE INDEX pour les 4 tables
* ADD PROJECTION + MATERIALIZE PROJECTION pour agg_host_ip_ja4_1h
* Note : PARTITION BY sur table existante nécessite recréation (documenté)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
2026-04-07 22:28:04 +02:00
9f3e0621e5
feat: split ClickHouse into dual configurable databases (ja4_logs / ja4_processing)
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Architecture:
- ja4_logs: raw log ingestion (http_logs_raw, http_logs, mv_http_logs)
- ja4_processing: analytics, aggregation, ML, dictionaries, audit
Configuration (env vars):
- CLICKHOUSE_DB_LOGS (default: ja4_logs)
- CLICKHOUSE_DB_PROCESSING (default: ja4_processing)
Changes:
- SQL migrations (10 files): all mabase_prod refs → ja4_logs or ja4_processing
with correct cross-database references (MVs, views, dicts)
- deploy_schema.sh: substitutes DB names from env vars at deploy time
- Python shared settings: added CLICKHOUSE_DB_LOGS + CLICKHOUSE_DB_PROCESSING
- Dashboard routes (19 files): replaced ~80 hardcoded mabase_prod refs
with settings.CLICKHOUSE_DB_LOGS / settings.CLICKHOUSE_DB_PROCESSING
- Bot-detector: DB → CLICKHOUSE_DB_PROCESSING, fetch_rules.py configurable
- Correlator: DSN example updated to ja4_logs
- Docker-compose + .env files: new env vars with defaults
- All documentation updated (14 markdown files)
All tests pass: sentinel 10/10, correlator 67.1%, bot-detector 11, dashboard 20, ja4_common 18
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
2026-04-07 19:10:35 +02:00
d469e39da7
feat: ja4-platform monorepo — 5 services unified, tests & RPM builds standardized
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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 >
2026-04-07 16:42:59 +02:00
