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Gesamtprojekt (4RD Suite) Source Code! Inhalt: - Portal (Portal/app_portal.py, 385 LOC, Port 8000): Flask-App für User-Reg, Login, Krypto-Payments, Subscriptions, Referrals. Templates: Shop, Marketplace, Profile, Invoice. - KLZ (KLZ/app_kleinanzeigen.py, 1128 LOC, Port 8001): Flask-API + UI für Account-, Ad-, Chat-Verwaltung. Schreibt Tasks in SQLite-Queues. - Client Loop (Client/loop.py, 669 LOC): Worker-Daemon, pollt Task-Tabellen, dispatcht in Worker-Module. - DB: SQLite (4rd.db), migriert von MySQL — Adapter sqlite_adapter.py, alte mysql_instance.py-Wrapper Anti-Detection-Stack (Client/client/utils/) 1. ThreatMetrix.py (310 LOC) — Reverse-Engineered LexisNexis-iOS-SDK: - create_session() durchläuft fetch_mobile_conf → h46_metrix → submit_device_check - AES-CBC mit CRC32-derived Key, ECDSA-P256-Signatur, gzip-Payloads, XOR-ja-Encoding - Liefert X-EBAYK-WENKSE-SESSION-ID für die Kleinanzeigen-API 2. solver.py — Akamai BMP-Sensor (X-acf-sensor-data) für api.kleinanzeigen.de 3. unique_device.py — Generiert plausible iPhone-Hardware-Fingerprints (IP-abhängig) 4. noble_tls / tls_client — TLS-JA3/JA4-Fingerprint-Spoofing (Safari iOS 18) 5. Residential Proxies (proxyList.txt, anyip.io) — DE-geo-routing pro Account Datenfluss User (Browser) ──login──▶ Portal:8000 ──token──▶ KLZ:8001 │ ▼ Tasks in SQLite-Queue │ (loop.py polled alle X s) ▼ Client/loop.py ──▶ TasksGenerator/Login/... │ ▼ ┌──── ThreatMetrix.create_session() │ Akamai solver.solve_bmp() │ noble_tls (Safari iOS fingerprint) │ Residential Proxy (DE) ▼ api.kleinanzeigen.de / dfme.kleinanzeigen.de / online-metrix.net │ ▼ Resultat ──▶ schreibt Status zurück in SQLite │ ▼ KLZ-UI zeigt User Fortschritt .rar - Download:https://workupload.com/file/jMPFzFprpk4
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