feat(consent+report): P56-P67 Mercedes-Audit-Cycle (Anti-Audit, Phase G Vendors, Cookie-Behavior-Validator + 5 Mail-Polish-Items) [migration-approved]

P56  Anti-Auditing-Detection als constructive Compliance-Finding (Audit-API-
     Empfehlung statt Anklage, weil Mercedes berechtigt Bots blockiert)
P57  Phase G vendor_details Union mit cmp_vendors -> 42 Anbieter sichtbar
P58  Anti-Audit-Detection robuster (Script-Domain-Check + Settings-spezifisch)
P59  Cookie-Behavior-Validator (4 Layer, 3-Tier-Severity: MEDIUM=Kategorie-
     Mismatch / HIGH=Zweck-Mismatch / CRITICAL=beide=Vorsatz-Indiz)
     + Open Cookie Database (CC0) als Library-Seed (2264 Cookies)
P59b Cookie-Behavior in Banner-Check verdrahtet + Mail-Block (BUGFIX:
     SessionLocal selbst oeffnen, db war im Background-Task nicht im Scope)

Mail-Polish nach Mercedes-Review:
P63  Banner-Footer-Links auch im wb7-link/role=link erkennen (Shadow-DOM-
     Walker label-based statt nur <a href>)
P64  Re-Access-Severity: MEDIUM statt HIGH, wenn Footer "Einstellungen" oder
     Mercedes-typisch existiert; OEM-Footer-Detection (wb7-footer)
P65  Text-Truncation: Word-Boundary statt Zeichen-Cut (kein "einfa"-Bruch
     mehr in Sofortmassnahmen)
P66  GF-Aktionen: Service-Zweck vs Cookie-Zweck explizit erklaert
     (haeufige Verwechslung Marketing/GF: "Akamai-Beschreibung" != Cookie-
     Zweck pro DSK-OH 2024)
P67  Stirring-Finding mit "Verlust-Framing"-Erklaerung + Alt-vs-Neutral-
     Beispiel, statt nur EDPB-Fachbegriff

Compliance-Advisor FAQ (admin agent-core/soul):
  + CNIL/EDPB Top-Bussgelder (Google 100M, Meta 60M, Amazon 35M)
  + Deutsche Praezedenz (LG Muenchen Google Fonts, EuGH Planet49, BGH I ZR 7/16)
  + 4 Risiko-Pfade (Bussgeld/Abmahnung/Sammelklage/NOYB) + Berechnungs-Methodik

Document-Generator Templates: AGB-DE (142), Impressum (140), Widerrufs-
formular-Anlage (143), DSR-Process-Dedup (139), Cookie-Library (144).

Architektur: doc_action_mappings.py + banner_dom_walkers.py +
cookie_behavior_validator.py + vendor_detail_extractor.py rausgezogen,
um die 500-LOC-Caps in agent_doc_check_report.py und
banner_text_checker.py einzuhalten.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

consent-tester/main.py

@@ -50,6 +50,9 @@ class ScanResponse(BaseModel):
     completeness_pct: int = 0
     correctness_pct: int = 0
     tcf_vendors: list = []  # Resolved TCF vendor list from GVL
+    cmp_payloads: list[dict] = []  # P48: raw CMP JSON-payloads (Usercentrics/OneTrust/...) captured during scan
+    vendor_details: list[dict] = []  # P50: per-vendor detail-modal-extracts (Beschreibung/Cookies/Opt-Out/Privacy)
+    cookies_detailed: list[dict] = []  # P59b: full cookie details for behavior-validation (name,value,domain,expires,phase,declared_category)
 
 
 @app.get("/health")
@@ -127,6 +130,9 @@ async def scan_consent(req: ScanRequest):
             "provider_details_visible": getattr(ct, "provider_details_visible", False),
             "cookies_set": ct.cookies_set,
         } for ct in result.category_tests] if result.category_tests else [],
+        cmp_payloads=result.cmp_payloads,  # P48
+        vendor_details=result.vendor_details,  # P50
+        cookies_detailed=result.cookies_detailed,  # P59b
     )