|
|
fc882dd3e7
|
feat(tests): realistic traffic seeder + IP diversity via mod_remoteip
Option A — X-Forwarded-For + mod_remoteip:
- httpd-integration.conf: load mod_remoteip, trust all Docker RFC-1918
subnets (172/192.168/10). mod_reqin_log uses r->useragent_ip which
mod_remoteip updates from XFF → each request logged with distinct src_ip
- generate_traffic.py: XFF always set (was 30% only); human scenarios
use 91.121/78.41/90.x ranges, bot scenarios use 185.220/45.155/193.32;
pool of 1168 human IPs and 180 bot IPs; default --requests 500
Option D — Direct ClickHouse seeder (seed_clickhouse.py, stdlib only):
- Inserts ~4000 rows into http_logs_raw triggering full MV chain:
http_logs_raw → mv_http_logs → http_logs
→ mv_agg_host_ip_ja4_1h → agg_host_ip_ja4_1h
• 720 human sessions: IPs in OVH/SFR/Orange ASN ranges (16276/15557/3215)
→ dict_asn_reputation maps these to asn_label='human'
→ satisfies bot_detector human_baseline >= 500 threshold
• 150 scanner sessions: datacenter IPs, attack paths (/.env, wp-login,
SQLi, path traversal), scanner UAs, minimal TCP fingerprints
• 100 known-bot sessions: IPs matching bot_ip.csv entries
• 20 brute-force clusters: 20-50 POST /login per IP
All TCP/TLS metadata is profile-realistic (window, MSS, TTL, JA4, JA3)
CSV stubs (mounted at /var/lib/clickhouse/user_files/):
- iplocate-ip-to-asn.csv: 13 CIDR→ASN mappings (OVH/SFR/Orange/Tor/Contabo)
- asn_reputation.csv: 13 ASN→label (8 'human', 3 'datacenter'/'hosting')
- bot_ip.csv: 14 known scanner/Tor IPs (Shodan, Censys, Tor exits)
- bot_ja4.csv: 5 bot JA4 fingerprints (curl, python-requests, masscan, zgrab)
run-tests.sh:
- Phase 4a: seeder runs before live traffic (ensures bot_detector baseline)
- Phase 4b: live traffic gen at 500 requests (up from 200)
- Phase 5f: new assertions — agg_host_ip_ja4_1h populated, ≥500 human
rows in view_ai_features_1h, known-bot labels present
- Phase 7: verifies ml_all_scores populated (bot_detector ran a cycle)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
|
2026-04-08 11:35:34 +02:00 |
|
|
|
12d60975da
|
feat: Python traffic generator with realistic varied HTTP/HTTPS traffic
- Replace curlimages/curl with Python stdlib traffic generator
- 200 requests, 10 workers, 16 scenario types:
browsers (Chrome/Firefox/Safari/Edge/mobile), bots (Googlebot/Bing/curl/wget),
GET/POST/HEAD/PUT/PATCH/DELETE/OPTIONS, HTTP + HTTPS
- Multiple SSL contexts (default, TLS1.2-only, TLS1.3-only, few_ciphers)
→ 4 distinct JA4/JA3 fingerprints per test run
- Realistic headers: Accept, Accept-Language, Sec-Fetch-*, Referer,
X-Forwarded-For, Cookie, Cache-Control
- JSON payloads, form data, CORS preflights
- DB always reset (down -v) at start of each test run
- Enhanced Phase 5 checks: distinct UAs, method variety, JA4/JA3 counts + uniqueness
Results: 199/200 OK, 24 distinct UAs, 7 HTTP methods, TLS 1.2+1.3, 4 JA4 fingerprints
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
|
2026-04-07 21:14:55 +02:00 |
|
