CH 24.8 refuse MODIFY ORDER BY sur des colonnes existantes (erreur BAD_ARGUMENTS 36).
La migration 01 ne pouvait donc pas corriger l'ORDER BY en post-init.
Correctif :
- 06_ml_tables.sql : ORDER BY (src_ip) → ORDER BY (src_ip, ja4, host, model_name)
+ TTL 30j → 7j (cohérent avec l'architecture documentée)
- 01_ttl_adjustments.sql : supprime le MODIFY ORDER BY impossible, conserve
uniquement les MODIFY TTL (valides pour les déploiements existants)
Résultat : make init-stack sans aucun ⚠ ni ✗
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
fmtIP() returns an HTML <a> tag string. Using encodeURIComponent(fmtIP(ip))
was URL-encoding the entire HTML markup instead of the raw IP address,
resulting in /ip/%3Ca%20href%3D... navigation.
Fix: extract raw IP (stripping ::ffff: prefix) before building the URL.
Applied to all 3 click handlers in campaigns.html:
- members table row onclick
- scatter chart point click
- force graph node click
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Restructure 07_ai_features_view.sql : single anonymous inner subquery
avec aliases explicites sur toutes les colonnes (a.xxx AS xxx, h.xxx AS xxx,
h2.xxx AS xxx) pour résoudre l'ambiguïté PARTITION BY src_ip dans l'outer SELECT
- Supprime les CTEs multiples (h2_agg, enriched) qui déclenchaient le bug
- Fix migration 04_http2_fields.sql : ordre DEFAULT avant CODEC (syntax ClickHouse)
- make init-stack : 0 erreur sur 13 fichiers SQL
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Étape 2 — Fingerprinting HTTP/2 dans le pipeline ML :
- Ajout du dictionnaire dict_browser_h2 (11 familles de navigateurs) dans 05_aggregation_tables.sql
- Ajout du CTE h2_agg et 4 features HTTP/2 dans 07_ai_features_view.sql :
h2_settings_known, h2_pseudo_order_match, h2_ja4_coherence, h2_settings_rare
- Calcul du fingerprint_coherence_score (5 axes pondérés) dans la vue
- Ajout du 6e axe axis_h2_coherence dans browser.py (poids rééquilibrés)
- browser_h2.csv : 11 fingerprints Akamai → famille navigateur
Étape 3 — Pré-filtre de cohérence sur la baseline humaine :
- pipeline.py exclut les sessions avec fingerprint_coherence_score < seuil de la baseline d'entraînement
- FINGERPRINT_COHERENCE_THRESHOLD configurable via env (défaut 0.25)
- Log des sessions exclues pour analyse SOC
Étape 4 — Détection de drift améliorée :
- scoring.py : passage de 5 à 9 quantiles (p5…p95)
- Ajout de la divergence KL en complément du test KS
- Détection de drift adversarial (≥80% des features dérivent dans la même direction)
- Split temporel strict pour la validation
Étape 5 — Graphe bipartite JA4×ASN (§5.2) :
- fleet.py : détection de flottes via NetworkX + Louvain (imports optionnels)
- enrich_with_fleet_score() : ajout fleet_score + fleet_campaign_flag au DataFrame
- cycle.py : appel après preprocess_df avec log du nombre de sessions en flotte
- SQL migration 05_fleet_metrics_tables.sql : table fleet_detections (TTL 7j)
- Dashboard : /fleet + /api/fleet (communautés détectées) + template fleet.html
Étape 6 — Cross-domain Jaccard §5.8 :
- 12_thesis_features.sql : CTE jaccard_paths → cross_domain_path_similarity
- Signal : même chemins (/admin, /wp-login) sur plusieurs hosts = scanner
Étape 7 — ExIFFI + erreurs AE par feature :
- scoring.py : compute_exiffi_importance() par permutation, compute_ae_feature_errors()
- pipeline.py : calcul ExIFFI sur X_test, mapping index → dict pour anomalies
- build_reason() enrichi avec exiffi_top quand SHAP inactif
Étape 8 — Méta-learner pour la pondération de l'ensemble :
- scoring.py : classe MetaLearner (LogisticRegression, fallback poids fixes <1000 labels)
- Collecte des labels depuis le cycle courant (known_bots, légitimes, Anubis)
- pipeline.py : remplacement des poids fixes par MetaLearner.predict()
Étape 9 — Métriques de performance et monitoring :
- metrics.py : record_cycle_metrics() — taux anomalie, drift, corrélation, latence
- SQL migration 05_fleet_metrics_tables.sql : table ml_performance_metrics (TTL 90j)
- Dashboard : /health + /api/health + template health.html
- cycle.py : appel record_cycle_metrics en fin de cycle (Complet + Applicatif)
Tests : 36/36 bot-detector tests passent
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Ajoute un filtre d'entrée de connexion (AP_FTYPE_CONNECTION, APR_HOOK_LAST)
qui s'insère entre mod_ssl et mod_http2 pour lire de manière non-destructive
le preface HTTP/2 (RFC 9113 §3.4) et en extraire :
- h2_fingerprint : fingerprint Akamai complet
ex. '1:65536,2:0,4:6291456,6:262144|15663105|0|m,a,s,p'
- h2_settings_fp : entrées SETTINGS brutes (ex. '1:65536,4:6291456')
- h2_window_update : incrément WINDOW_UPDATE (ex. '15663105')
- h2_pseudo_order : ordre des pseudo-headers (ex. 'm,a,s,p' Chrome,
'm,p,s,a' Firefox)
Technique : lecture spéculative AP_MODE_SPECULATIVE (non-destructive)
de 512 octets — la donnée reste disponible pour mod_http2. Le filtre
se retire de la chaîne après la première invocation.
Stockage dans c->notes (H2_NOTE_*) puis émission JSON dans log_request().
ClickHouse : 4 nouvelles colonnes dans http_logs + JSONExtract dans mv_http_logs.
Migration pour déploiements existants : 04_http2_fields.sql.
14 tests unitaires (cmocka) couvrent Chrome/Firefox/HTTP1/troncature/HPACK.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
compute_shap_top_features, build_reason, cluster_anomalies renamed from
private (_prefixed) to public to match pipeline.py imports.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Remove UA regex extraction (extract_ua_regex, _extract_ua_from_all/any)
- Remove Country rule collection from parse_bot_policies_inline
- Simplify fetch_rules.py: collect_all_rules returns (ip_rules, asn_rules)
- Remove insert_ua_rules and insert_country_rules functions
- reload_dicts now only reloads dict_anubis_ip + dict_anubis_asn
- Simplify CASE blocks in 04_mv_http_logs.sql, 07_ai_features_view.sql,
view_ai_features_anubis.sql, mv_http_logs.sql: IP > ASN (was 5-level
UA+IP > UA > IP > ASN > Country cascade)
- Remove dict_anubis_country + dict_anubis_ua from 03_anubis_tables.sql
(UA table kept as stub for REGEXP_TREE catch-all compatibility)
- Remove anubis_country_rules table from schema
- Remove Anubis UA and Country tabs from dashboard reflists page
- Remove anubis_ua_rules/country_rules from API reflist queries
- deploy_schema.sql simplified from 339 to 122 lines
- 764 lines removed across 9 files
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Fix doc tooltips: split CSS into <style type='text/tailwindcss'> for
@apply directives + raw CSS for reliable doc panel rendering
- Convert doc panels from click-toggle to hover-based infobulles with
arrow pointer, fade-in animation, and auto-dismiss on mobile
- Replace '?' icons with 'ⓘ' across all 11 templates (51 tooltips)
- Full-width layout: reduce padding on mobile (px-3), scale up on
desktop (lg:px-5, xl:px-6) for maximum screen utilization
- Auto-collapse sidebar on narrow screens (<1024px)
- Keyboard shortcuts: Alt+1–9 for page navigation, Alt+B toggle sidebar
- Add LEGITIMATE_BROWSER filter button to detections page
- Sticky header with stronger blur (backdrop-blur-md)
- All 46 routes pass tests
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Suppression de bot_detector.py (1982 lignes) remplacé par 11 modules
- Tests navigateur mis à jour pour le système multifactoriel (browser_confidence)
- 36/36 tests passent avec la nouvelle structure modulaire
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
XGB: query was selecting features from ml_all_scores which doesn't
store them. Now joins ml_all_scores (labels) with view_ai_features_1h
(features). Dynamically discovers available columns to skip thesis §5
features not present in the view. Returns (model, features) tuple.
SHAP: TreeExplainer doesn't support isotree. Fall back to permutation-
based Explainer(model.decision_function, X_sample) for isotree.
Verified: XGB trained on 50000 labels (18436 positives), triple-voice
ensemble scoring active (EIF+AE+XGB), SHAP silent.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Bot-detector:
- B1.1: campaign_id and raw_anomaly_score now inserted into ml_detected_anomalies
- B1.4/B1.5: log_decision argument order fixed (cycle_id, name)
- B1.7: AE broadcast error — model now returns features list, scoring
uses model's features instead of current cycle's (prevents dim mismatch)
- B1.8: Anubis ALLOW bots now get bot_name from anubis_bot_name
Dashboard:
- C1.1: XSS in ip_detail.html — {{ ip | tojson }} instead of raw string
- C1.2: Stored XSS via innerHTML — added escapeHtml() helper, all user-facing
formatters (fmtIP, fmtASN, fmtCountry, fmtJA4, fmtBotName, fmtLabel) sanitized
- C2.1: status filter now correctly filters http_version column
- C2.2: heatmap toDayOfWeek() - 1 for 0-indexed JS days
SQL:
- B1.3: view_ip_recurrence worst_score uses max() not min() (0=normal, 1=anomal)
- B1.6: view_resource_cascade_1h joined into view_thesis_features_1h (§5.4)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Add navigation helpers (fmtASN, fmtCountry, fmtJA4, fmtBotName,
fmtThreatLink, fmtLabel) to base.html for SOC analyst drill-down.
Update all templates:
- overview.html: clickable table cells + ECharts click handlers for
ASN, country, JA4, bot, and threat charts
- detections.html: URL param pre-filters, active filter bar with
clear buttons, clickable ASN/country/JA4/threat in table
- scores.html: URL param pre-filters, clickable threat/JA4/country
- traffic.html: clickable JA4 and country columns
- ip_detail.html: clickable threat/JA4 in detections, clickable
asn_org/country_code/asn_label in AI features grid
- network.html: click handlers on ASN treemap and country sunburst,
fmtJA4Full/fmtLabel/fmtBotName/fmtASN in tables
- features.html: scatter plot click navigates to /ip/{ip}
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Add BuildRequires: systemd-rpm-macros to sentinel and correlator specs
- Replace manual systemctl calls with %systemd_post, %systemd_preun,
%systemd_postun_with_restart macros (handles daemon-reload, stop/disable,
try-restart on upgrade correctly and is a no-op in containers)
- ja4sentinel.spec: use %{_unitdir} macro instead of hardcoded path
(/usr/lib/systemd/system); remove cross-service /var/run/logcorrelator
from %files and %post (owned by logcorrelator package, not sentinel)
- logcorrelator.spec: move unit from /etc/systemd/system (admin namespace)
to %{_unitdir} (/usr/lib/systemd/system) — correct packaging location;
move user/group creation from %post to %pre so file ownership is valid
during RPM install phase; add Requires(pre): shadow-utils; fix bare
directory entries in %files with %dir macro; add version fallback macro
so spec is buildable without --define version
- test-rpm.sh: auto-build RPM via Dockerfile.package if dist/rpm/ is
empty; update service file path check to /usr/lib/systemd/system/
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- EIF: Extended Isolation Forest via isotree (fallback to sklearn IF)
- Benford's Law deviation feature on inter-request timing
- Lag-1 autocorrelation feature for cadence analysis
- Validation gate: reject model if val_anomaly_rate > 20%
- Feature pruning: remove variance < 1e-6 features before training
- Quantile drift: replace N(μ,σ) synthetic with quantile interpolation
- Thread safety: Lock for _service_healthy/_consecutive_failures
- Score normalization: inverted to [0,1] where 1=most anomalous
SQL: add lag1_autocorrelation + benford_deviation to view_thesis_features_1h
Tests: 10 new test functions covering all improvements
Integration: verify_mvs.py checks new thesis feature columns
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
deploy_views.sql (v13 → v14):
- CRITICAL: ml_detected_anomalies ORDER BY (src_ip) → (src_ip, ja4, host, model_name)
ReplacingMergeTree was collapsing all detections to 1 row per IP on merge
- Add PARTITION BY toDate + ttl_only_drop_parts on all 4 data tables
- ml_all_scores TTL 3d → 7d; ml_detected_anomalies TTL 30d → 7d
- agg_host_ip_ja4_1h + agg_header_fingerprint_1h: add partition + TTL 7d
- view_ip_recurrence: add WHERE detected_at >= now() - 7 DAY (was full scan)
- Remove dead views: summary/timeseries/threat_dist/variability
- Add view_dashboard_entities (fixes HTTP 500 in clustering/incidents/fingerprints)
- Add view_dashboard_user_agents (fixes HTTP 500 in fingerprints/metrics)
- Add view_ai_features_24h (enables ENABLE_MULTIWINDOW in bot_detector)
- Mark max_requests_per_sec as DEPRECATED (always 0)
New files:
- correlator/sql/migrations/01_ttl_adjustments.sql: ALTER TABLE migration
- tests/integration/verify_mvs.py: MV pipeline verification assertions
- docs/THESIS_HTTP_Traffic_Detection.md: detection techniques thesis
All DB references use ja4_processing/ja4_logs (no mabase_prod).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
view_ip_recurrence :
Ajout de WHERE detected_at >= now() - INTERVAL 30 DAY
→ Avec PARTITION BY (P1), ClickHouse élagage les partitions hors de cette
plage avant même de lire les données. La vue ne scanne que les partitions
actives (au lieu des 30 partitions journalières complètes).
→ ORDER BY (src_ip) garantit que le GROUP BY src_ip lit des données
contiguës (aucune réorganisation mémoire).
rotation.py — supprimer FINAL sur ml_detected_anomalies :
FINAL force une déduplication complète du ReplacingMergeTree en mémoire
(équivalent à un DISTINCT sur toute la table) — une des opérations les plus
coûteuses dans ClickHouse.
Fix : remplacer le sous-SELECT FINAL par view_ip_recurrence (déjà aggrégée
par src_ip, retourne recurrence directement sans FINAL).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Problème : 8 clauses WHERE appliquaient une fonction sur la colonne src_ip :
WHERE replaceRegexpAll(toString(src_ip), '^::ffff:', '') = %(ip)s
→ ClickHouse ne peut pas utiliser l'index de tri ou les skipping indexes
quand une fonction est appliquée à la colonne filtrée.
Fix : transformer l'INPUT (le paramètre) plutôt que la colonne :
WHERE src_ip = IPv4MappedToIPv6(toIPv4(%(ip)s))
→ src_ip reste intact → ClickHouse utilise les indexes (P1) et la
projection proj_by_ip (P1) pour ces requêtes.
Fichiers modifiés :
investigation_summary.py — 6 WHERE (ml_detected_anomalies, agg_host_ip_ja4_1h,
view_form_bruteforce_detected, view_host_ip_ja4_rotation,
view_ip_recurrence)
ml_features.py — 1 WHERE (view_ai_features_1h)
rotation.py — 1 WHERE (agg_host_ip_ja4_1h)
Note : les 27 autres occurrences de replaceRegexpAll dans les SELECT sont des
transformations d'affichage (IPv6→IPv4 pour l'UI) et ne bloquent pas les indexes.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Replace golang:1.24 (Debian) builder with rockylinux:9 + dnf golang.
All three RPM packages (sentinel, correlator, mod-reqin-log) now build
entirely on Rocky Linux Docker images, ensuring native ABI compatibility.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
