872145d883d389e3c17a6f64867bd6f082d7db36
1182 Commits
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872145d883 |
feat(iace-fmea): KI-Vorschlag Uebernehmen/Ablehnen flow + AP unit tests
Closes the loose end from IACE Phase 5 handover: the LLM FM-suggest button existed and the backend endpoint was wired, but accepted suggestions had no path into the FMEA worksheet. Hook (useFMEA.ts): - acceptSuggestion(fm, componentId): builds an FMEARow from FM defaults, prepends to rows (sorted by RPZ), removes the FM from suggestions. No-ops + drops the suggestion when (component, fm.id) is already in rows. - rejectSuggestion(fmId): drops the FM from suggestions list. Page (fmea/page.tsx): - Suggestion cards now have explicit Uebernehmen / Ablehnen buttons. - Counter "X Vorschlaege uebernommen" tracks accept count for the run. - RPZ in each suggestion is colour-coded (red >200, orange >100). - Hinweis line explains S/O/D adjustability after acceptance. - acceptedCount auto-resets when suggesting starts or panel closes. Tests (useFMEA.test.ts): - 8 calculateAP cases covering AIAG-VDA 2019 boundary points for severity 10 / 9 / 7 / 5 / 3, validating the H/M/L action priority matrix. LOC: fmea/page.tsx hits 320 (soft target 300, well under 500 hard cap). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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9bdaa28038 | feat(ui): Branchen-Benchmark Sidebar-Link unter Compliance Agent (P107) | ||
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e2be51b0aa |
feat(audit): P106 MC-Audit-Type + P83 BUILD_SHA in Dockerfiles + P80 v2 full
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P106 — mc_audit_type.py: zentrales Quality-Thema. Klassifiziert pro MC: verifiable / process_internal / doc_internal / ambiguous. Pattern-Match auf check_question + title + fail_criteria (Schulung, AVV abgeschlossen, TOM umgesetzt, DSFA durchgefuehrt, Ausnahmen dokumentieren, kostenfrei zur Verfuegung, opt-out intern ermoeglichen, …). Interne MCs werden in der MC-Auswertung NICHT mehr als FAIL gewertet, sondern als CHECK markiert (audit_status='check'). Sie zaehlen im build_scorecard als skipped (nicht failed) damit der Score realistisch ist. build_internal_checks_block_html() rendert sie als separaten blauen Block 'Pruefungen die wir von aussen NICHT durchfuehren koennen' nach dem MC-Scorecard. Erwartete Wirkung: bei VW 95 FAILs → wahrscheinlich 30-40 echte verifiable_fails + 50-60 internal_checks. GF-Mail wird drastisch realistischer (statt 'Sie haben 95 Verstoesse' → 'Sie haben 35 extern sichtbare Themen + 60 interne Checks, bitte mit DSB klaeren'). P83 — BUILD_SHA in backend/admin/consent-tester Dockerfiles als ARG + ENV. check-rebuild-needed.sh kann jetzt deployed vs local SHA vergleichen + REBUILD REQUIRED melden. P80 v2 — check_replay.py macht jetzt vollstaendigen Replay aller post-fetch Quality-Generatoren: vendor_normalizer (Dedup), audit_quality_checks, cookie_compliance_audit, tcf_vendor_authority, cookie_value_entropy, cookie_network_tracer. Snapshots aus alter Zeit zeigen jetzt im Replay den aktuellen Audit-Stand. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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bd65b6f318 |
feat(audit): Phase 2+3 — P54 + P68 + P69 + P6/P53/P55 + P31 + P80v2
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P54 — consent_diff_for_user.py: USP-Feature fuer wiederkehrende Besucher. compute_user_facing_diff() vergleicht aktuellen Snapshot mit letztem fuer gleiche site_domain → added_vendors / removed_vendors / requires_reconsent wenn neue Marketing-Vendors hinzugekommen. build_diff_banner_snippet() liefert HTML zum Einbau in eigenen Banner via consent-sdk. P68 — reverse_audit.py: Self-Audit unserer Template-Bibliothek. run_reverse_audit() laedt alle MCs aus doc_check_controls + alle Templates aus doc_templates, prueft per pass_criteria-Match welche MCs durch mindestens 1 Template abgedeckt sind. Liefert coverage_pct, uncovered_mcs (Top HIGH zuerst), unused_templates, by_doctype-Breakdown. P69 — data/ecall_regulation.json: eCall-VO (EU) 2015/758 als 7 Chunks fuer RAG-Ingest (Art. 3/6/7 + compliance_implications fuer Automotive-OEMs). Standortdaten ausserhalb Notfall = unzulaessig; Mehrwertdienste brauchen separate Einwilligung; Daten sofort loeschen nach Notruf. P6+P53+P55 — industry_library.py: Branchen-Profile (automotive/ecommerce/ saas/banking/healthcare) mit mandatory_regulations + typical_cookie_vendors + vvt_required_processes + special_findings_to_watch. load_site_profile() liest Site-Historie aus snapshots (common_provider, avg_vendors, historical_runs). build_industry_context_block_html() rendert Block am Mail-Anfang: 'Was wir in dieser Branche bei VW pruefen' + 'Wir haben diese Site bereits 3× analysiert'. P31 — llm_cascade.py: Tiered LLM-Cascade Qwen → OVH 120B → Anthropic Claude Haiku mit Confidence-Heuristik (JSON parsed, items count vs input size). Valkey-Cache (redis://) mit 7-Tage-TTL plus In-Process- Fallback. Wenn Tier-1 unter Confidence-Threshold → Tier-2, dann Tier-3. Reduziert Lauf-Zeit drastisch bei Re-Runs. P80 v2 — check_replay.py: replay nutzt jetzt audit_quality_checks mit den Snapshot-Daten. Auch alte Snapshots zeigen jetzt im Replay ob banner_detected fehlt / vendor_extract thin ist. Bonus — P90 BMW-Final markiert completed: alle B1-B4 Bugs gefixt (cmp_payloads keep, cookies_detailed wiring, multi-doc-fail visibility, VVT-Tabelle). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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c771d8ecb9 |
Merge feat/iace-lift-endstop-bridge: OSHA→engine bridge + drift filter
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772ff35e8d |
feat(iace): bridge OSHA MD library to pattern engine, body-part-specific lift crush hazards
- M600-M604: lift endstop mitigations (Kriechgeschwindigkeit, Schaltleiste, Mindestabstand, Hold-to-run, Trittblech) — cite OSHA + EN ISO identifiers - HP2100-HP2102: body-part crush patterns for lift family (foot under platform, hand/body against fixed structure, leg between lift and lateral structure), restricted via MachineTypes filter - pattern_machinetype_overrides.go: post-load pass fills MachineTypes on 14 legacy patterns (HP1000 Walzen, HP539 Schweiss, HP545/HP782 Glas, HP756/HP757/HP760 Fahrtreppe, HP1400-1402 CNC, HP045/HP049 Pressen, HP420-422 Conveyor) to prevent drift on Kistenhubgeraet-style projects Why: Kistenhubgeraet re-init exposed two gaps — the abstract "Bremse versagt bei Absenkbewegung" pattern fired but the concrete foot-crush body-part variant was missing, AND ~10 unrelated patterns fired purely because their RequiredTags incidentally aligned. Override map avoids touching 1000+ LOC pattern files that already exceed the soft cap. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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8cbb513e2c |
feat(audit): Phase 1 Quick-Wins (P81 + P85 + P70 + P83) + TCF DELETE/INSERT-Fix
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P81 — tests/fixtures/golden_truth/vw_de.json: GT-Fixture mit must_find_cookies (47 VW-Cookies) + expected_vendors (Google, Adobe, Trade Desk, ...). Basis fuer kuenftige Regression-Tests. P85 — banner_screenshot_block.py + consent_scanner.py + main.py: consent-tester macht beim Banner-Detect einen base64-PNG-Screenshot (< 1.5MB). Backend rendert ihn als <img src="data:..."> direkt nach dem GF-1-Pager. Visueller Beweis 'so sah das Banner aus' fuer Dispute mit Marketing/DSB. P70 — rag_provenance.py: classify_finding_provenance() klassifiziert ein Finding als 'rag' (Norm + Quelle), 'mixed' (Norm ohne Quelle) oder 'heuristic' (eigene Interpretation). provenance_badge_html() rendert kleine Badges (✓ RAG / NORM / ⚠ HEURISTIK). Modul ist generisch, kann bei jedem Finding-Renderer einklinkt werden. P83 — scripts/check-rebuild-needed.sh: Prueft ob die im Container deployten BUILD_SHA mit local HEAD uebereinstimmen. Bei Mismatch exit 1 mit 'REBUILD REQUIRED'-Hinweis. Verhindert das 'alter Code im Container'-Problem das uns mehrfach erwischt hat (Frontend-Tabs sichtbar, Backend ohne neuen Service). TCF-Fix — tcf_vendor_authority.py: cookie_library hat keinen UNIQUE-Index auf cookie_name → ON CONFLICT war unmoeglich. Loesung: vor Insert DELETE WHERE source_name='iab_tcf_v2'. Idempotent. + per-Vendor-Commit damit ein Fail die naechsten nicht blockt. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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6c35bcf116 |
fix(tcf): per-vendor commit damit ein Fail die naechsten Inserts nicht blockt
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19d4b12e07 |
fix(tcf): Schema-Mapping fuer NOT NULL constraints (domain_pattern, source_name)
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2e87b74749 |
feat(audit): P103+P104+P105 Defeat-Device-Heuristik fuer Cookies
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Drei zusammenhaengende Stufen 'Cookie-Verhalten ist anders als deklariert' — analog zum VW-Diesel-Skandal-Pattern (Pruefstand vs Realbetrieb). P103 (Stufe 3) — cookie_value_entropy.py: Klassifiziert Cookie-Werte als flag/short_id/long_token/uuid/hash/json_blob via Shannon-Entropy + Regex-Patterns. Wenn ein als 'essential' deklarierter Cookie einen 64-char-Base64-Wert hat → MEDIUM-Finding 'Defeat-Device-Heuristik'. P104 (Stufe 4) — cookie_network_tracer.py: Vergleicht Cookie-Domain mit Site-Hauptdomain + bekannten Tracker-Vendoren (50 Domains gemapped: doubleclick.net, facebook.com, demdex.net, omtrdc.net, adsrvr.org, hotjar.com, ...). Wenn ein als 'essential' deklariertes Cookie von externer Tracker-Domain gesetzt wird → HIGH. Drittland-Cookies werden als 'DRITTLAND US/CN/...' markiert (Schrems-II-Folge). P105 (Stufe 5) — tcf_vendor_authority.py: Ingest-Endpoint POST /api/compliance/agent/admin/tcf-ingest holt die IAB TCF v2 Global Vendor List (vendor-list.consensu.org/v3) und upserted sie in cookie_library mit source='iab_tcf_v2'. cross_reference_with_tcf fuzzy-matched cmp_vendors gegen die TCF-Liste — wenn Vendor in TCF als Marketing gefuehrt aber Site sagt 'Funktional' → HIGH (externe Authority widerspricht der Deklaration). Alle drei rendern eigene Mail-Bloecke im Bereich Cookies (nach cookie_audit_html, vor library_mismatch_html). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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94233b7c66 |
feat(iace): LLM gap-review (Task #7+#8) + tech-file sources appendix (#29)
Three coupled pieces of work, all landing the same PoC:
1. Backend gap-review endpoint (Task #7)
- internal/api/handlers/iace_handler_gap_review.go:
POST /projects/:id/llm-gap-review
feeds Limits-Form + current hazards + current mitigations to
the configured LLM (Qwen / Claude / OpenAI via ProviderRegistry),
parses a JSON suggestion list, filter+stamps confidence, falls
back to a static checklist when LLM is unavailable.
- Adopt step is NOT in this endpoint by design — the user clicks
Adopt in the frontend which calls the existing CreateHazard /
CreateMitigation handlers so provenance flows through the normal
audit trail.
2. Frontend modal + button (Task #8)
- app/sdk/iace/[projectId]/hazards/_components/LLMGapReviewModal.tsx:
reusable modal that POSTs the gap-review endpoint, renders
suggestions with Adopt/Reject UX, shows confidence + norm refs,
source-stamp llm_gap_review vs fallback_static.
- hazards/page.tsx: indigo "KI-Gap-Review" button next to the
existing "Eigene Gefaehrdung" button + modal mount.
3. Tech-File sources appendix (Task #29 — Stufe 4)
- internal/iace/document_export_sources.go: new pdfSourcesAppendix
method appended to ExportPDF. Groups cited norms by license rule
(R1 OSHA/EU-Recht / R3 BreakPilot patterns / R3 DIN-EN-ISO
identifier-only) and emits the legally required statement that
pauschal Impressum-Hinweise nicht ausreichen.
- extractCitedNorms() scans hazard/mitigation text for EN/ISO/IEC/
DIN identifiers in a narrow grammar so prose isn't turned into
spurious citations.
Bonus refactor:
- internal/app/routes.go reached the 500-LOC hard cap when the new
llm-gap-review route was added. Extracted registerIACERoutes into
routes_iace.go (136 LOC). Same wiring, no behaviour change.
Three of the four Attribution-Renderer stages (1, 2, 4) now produce
real output. Stufe 3 ships as <SourceBadge> + <LicenseModuleBanner>
already (commits
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6263462ba3 |
feat(frontend): Tab-Layout für Audit-Ergebnisse + cookie_audit in API
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ResultsTabsView.tsx — neue Komponente mit 7 Tabs:
1. Übersicht (KPIs: Docs, Findings, Vendors, Score)
2. Cookies & VVT (3-Quellen-Compliance-Vergleich +
undokumentiert/compliant/nicht-geladen + deduplizierte Vendor-Tabelle)
3. Datenschutzerklärung (DSE-Findings via ChecklistView)
4. Impressum
5. AGB / Widerruf (zwei Sections in einem Tab)
6. Cookie-Banner (Verstoesse + Phasen-KPIs)
7. Mail-Vorschau (PDF-Download-Link)
Sticky Tab-Header oben, Content scrollt darunter. Lange Scroll-Mail
ist damit verschwunden.
DocCheckTab nutzt ResultsTabsView statt der alten Inline-ChecklistView.
Backend liefert jetzt cookie_audit-dict in der Response (zusaetzlich
zu cmp_vendors + banner_result) damit das Cookie-Tab die 3 Listen
(undokumentiert / compliant / nicht-geladen) rendern kann.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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eb48c5bd1e |
feat(iace): OSHA minimum-distance library — Task #18
Verbatim OSHA 29 CFR 1910 Subpart O values anchored as the rechtssicher zitierbare Werte-Basis for the IACE engine. Per strategy discussion (2026-05-20) US Federal Code is the only public-domain corpus we can reproduce wholesale; DIN/EN values stay identifier-only. Coverage in this initial batch: - MD_OSHA_O10_R1, MD_OSHA_O10_R4 (Table O-10 rows 1 + 4 — point of operation guard distance vs max opening width) - MD_OSHA_212_FAN (§1910.212(a)(5) fan-blade guards: 1/2 in) - MD_OSHA_217_PSDI (§1910.217 hand-speed constant 63 in/s for presence-sensing-device-initiation and two-hand-trip distances) Each entry carries four parallel value sets: - OriginalValue/Min/Max in source unit (verbatim, R1) - ExactMM via deterministic conversion (mathematics, no copyright) - RecommendedMM with safe-side rounding documented in RoundingNote - EUNormHints — identifier-only references to EN ISO 13857, EN 13855, EN 349 with a human-curated DINComparisonNote (qualitative judgement, not a copy) Open follow-ups (separate iterations): - Full Table O-10 (rows 2-10) — same shape - §1910.219 mechanical power-transmission distances - Cross-reference IACE patterns to MD_OSHA_* identifiers so the Suppression Engine surfaces concrete metric values in mitigation suggestions - Frontend integration: <MinimumDistanceCard> for each measure |
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081e4f057a |
feat(audit): Cookie-Compliance-Audit (3-Quellen-Vergleich) + Vendor-Dedup + Block-Parser
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ZENTRALER USP: cookie_compliance_audit.py vergleicht 3 Quellen * DEKLARIERT in Cookie-Richtlinie (parse_cookie_table + parse_flat) * TATSAECHLICH im Browser geladen (banner_result.phases.after_accept) * LIBRARY-Metadaten (cookie_library lookup) Liefert 3 Listen mit Compliance-Verdict: * compliant (deklariert UND geladen) — gruener Block * undeclared_in_browser (geladen NICHT deklariert) — ROTER HIGH-Block → Art. 13(1)(c) DSGVO + § 25 TDDDG Verstoss * declared_not_loaded (deklariert NICHT geladen) — gelber Hinweis → Tabelle moeglicherweise veraltet parse_cookie_table erweitert um Block-Format (5 Zeilen pro Cookie wie beim User-Copy aus VW). Findet 35+ Cookies aus Copy-Paste statt 0. vendor_normalizer.py: 50+ Aliases (Google-Familie, Adobe-Familie, Trade Desk, AdForm, ...) + Garbage-Filter (URLs, leere Strings, 'click to select', 'Mehrere OEMs'). Mergt cookies-Listen beim Dedup. _guess_vendor erweitert: Adobe-Familie (s_ecid/AMCV/demdex/mbox/...), Trade Desk (TDID/TDCPM/TTDOptOut), AdForm (uid/cid/otsid), Salesforce LiveAgent, etracker, Akamai, EDAA. audit_quality_checks: vendor-thin-Threshold jetzt dynamisch nach Cookie-Doc-Wörter (3k→10 / 6k→20 / 10k→30 / 15k+→40). VW-Test-Fixture: tests/fixtures/cookie_gt/vw_cookie_richtlinie.txt (36-Cookie-Sample fuer Regression-Tests). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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16fd406c1a |
feat(iace): secondary-harm chain model + AllPatterns drift fix
Task #17 — Folgegefahren-Modell as Vorbereitungs-Commit (no DB schema change yet; persistence via separate [migration-approved] commit). New: - secondary_harms.go: SecondaryHarm struct + six canonical categories (consumer_safety, product_liability, food_safety, environmental, reputation, financial) with DE labels. - hazard_pattern_types.go: HazardPattern extended with optional SecondaryHarms field — pattern library can now attach consequential- damage chains. - hazard_patterns_secondary_demo.go: two worked examples - HP2000 Glasbruch carbonated bottling (the "Cola splitter" scenario from the IACE strategy discussion) with consumer_safety + food_safety + reputation chains - HP2001 Pharma fill-finish cross-contamination with consumer_safety + product_liability under AMG §84 Bonus fix: - compliance_crossover.go AllPatterns() was a duplicate enumeration that silently drifted from collectAllPatterns() in pattern_registry.go. Pre-fix: 1058 patterns visible. Post-fix: 1213 patterns. The 155 invisible patterns included CRA, ISO12100 gaps, robot-cell, CNC extended, VDMA, textile-agri, GT-bremse — anything added after the original AllPatterns was authored. Audit-Suite (cmd/iace-audit) now sees the full set. Next steps for full secondary-harm rollout: - DB migration: hazards table + secondary_harms array column - API: surface secondary_harms in /projects/:id/hazards response - Frontend: collapsible Folgegefahren-Panel in HazardTable |
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c5c168592b |
feat(licenses): Task #25 — SDK module attribution rollout (11 modules)
Per project_sdk_module_attribution_matrix.md the Stufe-3 rollout is
prioritized by audit visibility. This batch covers Schritte 2-9 in one
sweep:
New reusable component:
components/sdk/LicenseModuleBanner.tsx — single-line license banner
placed at the top of an SDK module page. Renders rule pill (R1/R2/R3),
source label, descriptor and link to /sdk/licenses. Replaces the
copy-paste banner blocks I inlined in the earlier modules.
Integration points (per cluster):
Cluster B (DSGVO/EU-Recht, R1):
- vvt: existing "Vorlage" pill upgraded with R1 marker + tooltip
explaining Bundeslaender-DSGVO provenance
- dsfa: inline R1 banner citing DSGVO Art. 35
Cluster C (EU AI Act / CRA, R1):
- ai-act: inline R1 banner citing EU 2024/1689
- cra: inline R1 banner citing EU 2024/2847 + ENISA-Guidance
Cluster D (Mix R2/R3):
- isms: R3 banner + ISO/IEC 27001 reference disclaimer
- security-backlog: R2 banner with OWASP CC-BY-SA attribution
Cluster A (Eigenwerk, R3):
- tom-generator: R1 source (DSGVO Art. 32) + R3 own-work disclaimer
- audit-checklist: R3 banner for own audit methodology
- document-generator: own templates R3 + cited rights R1
Cluster E (Direct controls listing):
- catalog-manager: System/User tag upgraded with rule classification
- iace hazards: pattern_id pill upgraded with R3 + tooltip explaining
BreakPilot Pattern-Engine provenance
The 11-module sweep brings audit transparency to the modules a paying
customer encounters most often. Stufe 3 of the attribution renderer
is now actually visible across the platform — previously it shipped
only the reusable <SourceBadge> component without integration points.
Pre-existing TS errors (drafting-engine constraint-enforcer, dsfa
types tests) untouched — not in scope for this licensing rollout.
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d0274674a0 |
feat(licenses): Task #25 step 1 — SourceBadge in atomic-controls + correct LicenseRuleBadge labels
Per the SDK-Modul Attribution-Matrix (project_sdk_module_attribution_matrix.md),
the controls/atomic-controls listings render canonical_controls directly and are
the highest-audit-visibility integration point for Stufe 3.
Two changes:
1. atomic-controls/page.tsx: embed <SourceBadge controlUuid={ctrl.id} compact />
next to the existing badge row in each control item. The badge fetches
/api/compliance/licenses/source-info/{uuid} on first hover and reveals the
source regulation, license type, and attribution text in a tooltip.
2. control-library/components/helpers.tsx: fix LicenseRuleBadge labels. The
existing pill said "Free Use / Zitation / Reformuliert" — exactly the
inverted understanding of the rules that Task #21 surfaced. Corrected to
R1 (verbatim, Hoheitsrecht/PD), R2 (verbatim + attribution), R3 (identifier
only). Added native title attribute for hover-explanation; the existing
ControlListItem in control-library now shows the right semantics
without any other code change.
Next module per matrix: VVT (Bundeslaender-Vorlagen) and DSFA.
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2eb7349577 |
feat(licenses): sidebar footer link to /sdk/licenses
Adds a discreet "Quellen & Lizenzen" link to the SDK sidebar footer (below the existing Export button) pointing to the /sdk/licenses page shipped in commit |
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4434e3827b |
fix(audit): parse_flat_cookie_text — Anchor-Pattern fuer VW-textContent
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VW Cookie-Doc-textContent verkettet HTML-Tabellen-Zellen OHNE Whitespace: 'Permanent/Protokoll_fbcTracking Cookies (Marketing)...' Neues Pattern hat 2 Anker: * Davor: typisches End-Token einer vorherigen Zelle (Permanent/Protokoll, Session Cookie, Persistent Cookie, TagePersistent, ...) * Danach: Kategorie-Token (Tracking Cookies, Funktionscookie, Marketing, Analytics, Necessary) Dazwischen: Cookie-Name (3-50 Zeichen, alphanum/_/-) VW-Test (snapshot 4a465783): findet jetzt 40 unique Cookie-Namen, aggregiert zu 6 Vendors (Google, DoubleClick, Cloudflare, Borlabs, Meta, Unbekannter Anbieter mit 22 VW-internen Cookies). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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07cc00da11 |
feat(licenses): Stufe 2 — auto-attribution footer in compliance PDF
Extends CompliancePDFGenerator with a "Quellen & Lizenzen" section
appended to every generated compliance PDF.
The footer is built from compliance.canonical_controls + control_parent_links
directly (no HTTP hop to /licenses/aggregate — same DB connection
already open in the generator). It groups by license_rule and lists
the top 8 source regulations per bucket.
For Rule-2 entries (CC-BY-SA, OECD-Public, Apache, etc.) it emits the
mandatory attribution paragraph required by the underlying licenses.
For Rule 1 a brief reference list satisfies the auditability goal
without legal obligation. Rule 3 is identifier-only by design.
Architecture decision: this is a PLATFORM-level footer (which sources
the platform draws on overall), not a per-export filter of "only the
sources actually cited in THIS document". The latter would require
control-uuid tracking across all sections (TOM/VVT/DSFA/etc.) which
the current PDF generator does not surface — that's a follow-up scope.
The platform-level footer fulfils the immediate legal mandate that
attribution be present on the work, not buried in AGB/Impressum.
Part of Attribution-Renderer Task #23. Stufe 1 (overview page) +
Stufe 3 (SourceBadge component) already shipped in commit
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1451873194 |
fix(audit): parse_flat_cookie_text fuer VW-Style Flat-Tabellen
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VW Cookie-Doc liefert die Tabelle als FLACHEN Text ohne Spalten-Trenner: 'IDE Tracking Cookies (Marketing) Beschreibung 13 Monate Permanent TAID Tracking Cookies (Marketing) ...' parse_flat_cookie_text matched mit Regex: NAME [Tracking|Session|Funktional|...] Cookies ... [13 Monate|Session|Permanent] Backend faellt bei parse_cookie_table=[] auf parse_flat zurueck. Damit holen wir aus dem 65k VW Cookie-Doc ~30-50 Cookies + Vendors deterministisch, auch wenn der HTML-Table-DOM-Extract leer ist (was passiert wenn die Tabelle aus mehreren append-Code-Pfaden geladen wird). Bonus: _extract_dom_tables Helper in dsi_discovery.py vorbereitet fuer spaeteres Einhaengen an allen 7 DiscoveredDSI.append-Stellen. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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dfac940272 |
feat(licenses): attribution renderer — Stufe 1 (overview) + Stufe 3 (SourceBadge)
Backend
- backend-compliance/compliance/api/licenses_routes.py: three endpoints
built on the now-complete license_rule classification
- GET /api/compliance/licenses/overview
global aggregation by rule + per-source breakdown (Stufe 1)
- POST /api/compliance/licenses/aggregate
per-control-set aggregation for PDF footer (Stufe 2) and
tech-file appendix (Stufe 4) — consumed later
- GET /api/compliance/licenses/source-info/{control_uuid}
single-control lookup for the inline source badge (Stufe 3)
- registered in api/__init__.py via the existing safe-import loader
Frontend
- app/sdk/licenses/page.tsx (Stufe 1): the /sdk/licenses overview page.
Renders rule legend cards + per-rule source tables. Drives the
/licenses footer link and gives auditors a one-page view of what
licence classes the platform is operating under.
- components/sdk/SourceBadge.tsx (Stufe 3): reusable React component.
Small R1/R2/R3 pill with click-expand tooltip showing source
regulation + attribution string + render-full-text policy. Will be
embedded into IACE hazards/mitigations, VVT items, DSFA controls in
follow-up commits.
Two stages of the four-stage renderer are now ready. Stufe 2 (PDF
auto-footer) + Stufe 4 (tech-file appendix) follow once the existing
PDF generators are extended to call /licenses/aggregate.
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cb5dad1a2f |
feat(audit): A Audit-Transparenz + B Tabellen-Parse + D HTML-Tables aus DOM
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Drei zusammenhaengende Fixes fuer den VW-Befund (6 Vendors statt 100+): A — audit_quality_checks.py: drei systemische Vorbehalte die IMMER prominent gezeigt werden: * banner_detected=False trotz Cookie-Doc → HIGH 'CMP-Tool ungeladen' * cookie_doc >= 30k chars aber cmp_vendors < 15 → HIGH/MEDIUM 'Vendor-Liste auffaellig kurz fuer Doc-Groesse' * submitted URL aber 0/Mini-Text → MEDIUM 'URL nicht ladbar' Rote Audit-Vorbehalt-Box ueber dem GF-1-Pager. GF-Summary sagt 'Audit unvollstaendig' statt faelschlich 'Keine kritischen Themen'. gf_one_pager nimmt audit_quality_findings in top_findings auf (BEVOR andere Findings). B — cookies_table_parser laeuft jetzt auch auf gecrawltem Cookie-Doc- Text (nicht nur bei User-Paste). Wenn der dsi-discovery-Response Tab/ Pipe-getrennte Tabellen-Reihen liefert, parsen wir sie deterministisch. D — consent-tester/dsi-discovery extrahiert jetzt zusaetzlich zum Text die <table>-Elemente aus dem DOM als list[str] (Tab-getrennt pro Zeile, mind. 2 Zellen, mind. 3 Zeilen, max 10 Tabellen pro Doc). Backend schleust diese als 'html_table'-cmp_payload ein und jagt sie zuerst durch cookies_table_parser → 100% deterministische Vendor-Extraktion ohne LLM. VW-Erwartung: aus der 65k-Cookie-Tabelle werden jetzt 30-50 Vendors deterministisch geparst statt 6 vom LLM-Cascade. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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e411c4f0d3 |
feat(audit): Text-Paste-Mode pro Row — Crawler optional umgehen
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Hintergrund: VW liefert ueber URL-Crawler nur 6 Vendors statt der 100+
die in der echten Cookie-Tabelle stehen. Wenn der User die Tabelle aber
direkt von der Site kopieren kann (was bei den meisten OEM-Sites moeglich
ist), umgehen wir den Crawler komplett und parsen den Text deterministisch.
Backend:
* doc_type_classifier.py — 7 Pattern-Gruppen (§5 TMG, Art.13 DSGVO,
AGB-Klauseln, Widerrufs-Frist, Cookie-Tabellen-Header, etc). Wenn der
User Text ins falsche Doc-Type-Feld kopiert (Impressum->DSE),
detect_mismatch liefert detected + action ('reclassify' bei sehr hoher
Konfidenz, 'warn' bei medium).
* cookies_table_parser.py — Tab/Pipe/Komma/Semicolon-Separator-Auto-
Detection, Spalten-Mapping per Header-Keyword. Aggregiert Cookie-
Eintraege zu Vendor-Records (mit _guess_vendor-Fallback). Voll
deterministisch, kein LLM.
* doc_input_warnings.py — Mail-Block ueber dem Audit, der Mismatches +
Auto-Reclassifies dem User transparent macht.
* Pipeline: text gewinnt ueber url (war schon im Schema vermerkt), neue
Felder declared_doc_type / input_source / reclassify_hint in doc_entries.
Pasted-Tabellen-Vendors haben Vorrang vor Library-Fallback + LLM-Cascade
(sind 100% genau).
Frontend (DocCheckTab):
* Pro Row Mode-Toggle 'URL' / 'Text einfuegen' (lila wenn aktiv).
* Textarea (h-32, monospace) im text-mode mit kontext-spezifischem
Placeholder (Cookie-Hinweis ggue. anderen Doc-Types) und Live-
Zeichen-/Wort-Counter.
* Submit-Button accepted entries mit URL ODER text.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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7335f64f4f |
feat(founding-wizard): Per-Person IP-Assignment + Prefill + E2E-Tests
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Wizard unterstuetzt jetzt 2-4 Gesellschafter mit individuellem IP-Bereich: - Pro Gruender ein IP-Assignment-Vertrag (z.B. Benjamin: Compliance+RAG; Sharang: Security+Infrastruktur). Pro GF ein eigener Dienstvertrag. - Step 1: Prefill-Button aus Unternehmensprofil + Felder Registergericht und HRB-Nr. - Step 2: Rollen-Dropdown (CEO/CTO/CFO/COO/CPO/GF/Sonstige) statt freie Texteingabe, IP-Bereiche-Textarea pro Person. Backend: - generate_documents() iteriert pro Person fuer PER_PERSON_DOCS. - _build_person_context() injiziert ASSIGNOR_*, GF_*, IP_LIST_DETAILS aus person.ip_areas. - base_context() propagiert basics.register_court und basics.hrb_number. Tests: - 30/30 Pytest gruen (6 neue: Per-Person-Context, Slug-Helper, Registergericht-Propagation). - 4 neue Playwright-E2E-Specs (hermetisch via route.fulfill, mit Console-/Page-Error-Traps): kompletter 8-Step-Flow, Prefill-Fehlerpfad, Step-Navigation/Reset, Rollen-Dropdown + IP-Areas. - Spec setzt 'bp-sdk-cookie-consent' im addInitScript damit der CookieBannerOverlay nicht die Wizard-Buttons ueberlagert. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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138d9068c4 |
fix(audit): VW-Cookie-Tabelle — Library-Fallback + Pattern-Extract verstaerkt
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VW-Lehre: cmp_vendors=6 (alle LLM-grob) wurde als ausreichend gewertet, obwohl die echte Cookie-Tabelle 30+ Eintraege hat. 3 Fixes: 1. fallback_vendors_for_run skip-Schwelle: existing_vendor_count >= 3 war zu niedrig. Jetzt nur skip wenn < 5 Cookies UND >= 5 Vendors schon vorhanden. 2. Library-Fallback wird jetzt aufgerufen bei < 20 cmp_vendors (statt < 3). VW-typische Setups (6 LLM-grob + 30 aus Library) bekommen damit eine vollstaendige Vendor-Liste. 3. _extract_cookie_names_from_doc: regex-Pattern-Extract aus dem Cookie-Doc-Text selbst — sucht nach 'NAME Tracking Cookies (Marketing)' etc. Findet Cookie-Namen die NICHT im Browser-Jar landen (z.B. nur nach Consent geladen werden). Diese werden zusaetzlich durch die Library matched. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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c281464071 |
feat(audit): P71 JC-vs-AVV Entscheidungsbaum
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jc_avv_decision.py: detect_ambiguous_jc_avv prueft ob DSE-Text sowohl JC-Signale (gemeinsame Auswertung, Schwesterunternehmen, Konzern...) als auch AVV-Signale (Auftragsverarbeiter, weisungsgebunden...) enthaelt. Bei Treffer rendert build_jc_avv_decision_html einen Block mit 4 EDPB- basierten Leitfragen + jeweiliger Empfehlung. Quellen: EDPB Guidelines 7/2020, EuGH C-25/17, C-40/17. In Mail-Render zwischen Solutions-Block und VVT eingehaengt. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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6dc427a754 |
fix(audit): VW-404-Recovery + P52 LLM-Merge + P51 Banner-UX-Checks
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VW-404-Fix: submitted_types zaehlt jetzt nur Doc-Types mit >= 200 Zeichen echtem Text. Eine eingegebene URL die 404/Mini-Text liefert (VW cookie- richtlinie.html) wird als 'missing' behandelt, sodass Auto-Discovery alternative URLs auf der Homepage probiert. In-place-Update statt Duplicate-Entry, rejected_url wird fuer Audit-Transparenz aufgehoben. P52 LLM-Cascade Merge: vendor_llm_extractor laeuft jetzt bei < 5 Vendors (nicht nur bei 0), und die Ergebnisse werden MIT existing cmp_vendors gemerged statt zu ueberschreiben. VW-typische Setups (Generic CMP + 0 cmp_payloads) bekommen damit den Text-basierten Vendor-Layer dazu. P51 — banner_consistency_checks erweitert: * check_banner_copyability: scannt banner_html nach user-select:none / oncopy=return false / onselectstart. MEDIUM Finding wenn Banner-Text nicht kopierbar (Art. 7 (2) DSGVO). * check_consent_history: prueft auf 'Meine Einwilligungen' / Consent- Historie / Datenschutz-Cockpit. MEDIUM wenn keine sichtbare Historie (Art. 7 (3) — Widerruf muss so einfach wie Erteilung sein). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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309c10c203 |
feat(audit): P72 MC-Scope-Filter + P73 MC-Solution-Generator
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P72 — rag_document_checker LEFT JOINs canonical_controls.scope_doc_type.
_filter_by_canonical_scope wirft MCs raus deren scope explizit auf
einen inkompatiblen Doc-Type zeigt (Mapping in _SCOPE_COMPATIBLE).
Konservativ: 'other'/NULL/'process' bleiben drin — Heuristik v1 ist
noch nicht stark genug fuer hartes Filtern.
Erwartete Wirkung: ~10-15% weniger irrelevante MCs pro Doc, weil z.B.
ein TOM-MC nicht mehr als DSE-Finding auftaucht.
P73 — mc_solution_generator.py: Qwen->OVH Cascade generiert pro HIGH/
CRITICAL-Fail eine konkrete Einfuege-Empfehlung mit Anchor (wo + was)
und Aufwand-Schaetzung. JSON-Schema {solution_text, anchor_hint,
effort_min}. In-process LRU-Cache (500 entries) per (mc_id, doc_md5).
Max 3 Solutions pro Doc-Type, global Cap 8 — haelt Latenz < 60s. Bloecke
werden im Mail-Render unter VVT als 'Loesungs-Vorschlaege (KI-generiert)'
eingehaengt. Disclaimer: kein Rechts-Beratung, mit DSB pruefen.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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4183379dc5 |
feat(audit): P33 3-Spalten-Vendor-Konsistenz (DSE/Cookie-Doc/Banner)
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check_three_source_vendor_consistency: scannt DSE-, Cookie-Doc- und Banner-Vendor-Liste auf 15 typische Vendor-Signaturen (Google Analytics, Meta Pixel, Hotjar, HubSpot, LinkedIn Insight, ...). Listet Vendors die in mind. einer Quelle stehen, aber nicht in allen sources_with_data. Liefert MEDIUM-Finding mit konkreter 'fehlt in: DSE, Banner-Liste'- Liste pro Vendor. Empfehlung: zentrale Vendor-Liste pflegen + in alle drei Dokumenttypen propagieren. (Art. 13(1)(c)+(e) DSGVO) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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c93c88577c |
feat(audit): P88 PDF-Export via WeasyPrint
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GET /api/compliance/agent/snapshots/{id}/pdf liefert application/pdf
mit dem vollen Audit-Mail-Inhalt im A4-Print-Layout (Header mit
Site/Timestamp/Snapshot-ID, Seitenzahlen unten rechts).
check_replay.py liefert jetzt zusaetzlich 'full_html' (nicht nur
500-char-preview), damit der PDF-Renderer das komplette HTML hat.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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3207acea3e |
fix(audit): Replay-Pipeline um P35/P77/P78/P36 Signals-Block ergaenzen
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check_replay.py rendert jetzt auch die Textsignal-Findings (Save-Label- Ambiguitaet, Cookies-in-DSE-Akzeptanz, JC-Klausel positiv, Social-Embeds). Damit hat der Replay-Test parity mit der echten Mail-Pipeline. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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9f06911ff9 |
feat(audit): Cookie-Library-Fallback fuer VW-Pattern (kein bekanntes CMP)
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Wenn nach Standard-Extract + Phase-G + LLM-Cascade weiterhin < 3 cmp_vendors aber >= 5 Cookies im after_accept stehen (typisch: Custom-CMP wie VW 'cookiemgmt'), matcht der Fallback die Cookie-Namen gegen die compliance.cookie_library und rekonstruiert Vendor-Records aus den Library-Eintraegen. Hintergrund: VW Run de2a029e zeigt 4 Vendors trotz 28 after_accept-Cookies. cmp_payloads ist 0 (kein bekanntes IAB-Tool erkannt) und die hinterlegte Cookie-URL liefert 404. Die DSE ist mit 34k zwar substanziell, listet aber keine Vendor-Tabelle. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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338e03d3b0 |
feat(audit): P34 Exec-Summary Score-Einordnung — 'wo Sie stehen sollten'
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_score_band_explanation: vier Baender (Sehr gut/Akzeptabel/Handlungs- bedarf/Erhoehtes Risiko) liefern Label + erwartete Handlung. Wird als neue Zeile unter den KPIs in der Exec-Summary gerendert (mit score-farbiger Linkmark). Sachlicher Ton — kein 'Vorstand muss sofort handeln', sondern realistische Empfehlung (z.B. '70-84: Branchen-Median, einmaliges Aufraeumen + Halbjahres-Check'). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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c491af5d02 |
feat(audit): P47 localStorage-Quota — safeSetItem mit Auto-Prune
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storageHelpers.ts: safeSetItem faengt QuotaExceededError, prunet alte doc-check-result-*-Eintraege (oldest first, MAX_KEEP=10) und retried. Bei zweitem Fail aggressiver pruefen. DocCheckTab.tsx nutzt safeSetItem statt setItem fuer doc-check-results, result-Keys und history. Verhindert silent-data-loss + Crash wenn ~5MB localStorage-Limit erreicht. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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4171cf0efd |
feat(audit): P36 Social-Media-Einbindungs-Check
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check_social_embedding: erkennt direkte FB/Insta/Twitter/YouTube- Embeds (connect.facebook.net, platform.twitter.com etc) vs Heise-Shariff vs 2-Klick-Loesungen (Embetty). Direkte Embeds ohne Schutz = HIGH (EuGH C-40/17 Fashion-ID — der Site-Betreiber wird zum gemeinsam Verantwortlichen und braucht Einwilligung VOR dem Drittanbieter-Call). Shariff oder 2-Klick erkannt = INFO (positives Signal). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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30e43afba6 |
feat(audit): P86 Branchen-Benchmark + P35/P77/P78 Textsignale
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P86 — industry_benchmark.py: zieht alle Snapshots mit derselben scan_context.industry, berechnet Median + Percentile, rendert 'Sie 42% — Automotive-Median 58% (Stichprobe: 12)'. Min Sample 3. P35 — banner_text 'Speichern' ohne 'Ablehnen' = MEDIUM. Mehrdeutiges Label nach EDPB 03/2022 Deceptive-Design-Guidelines. P77 — DSE mit prominenter Cookie-Sektion (Vendor-Hints: Speicherdauer, Anbieter, Datenkategorie) ersetzt die Forderung nach separater Cookie-Richtlinie. Positives Signal statt False-Positive. P78 — Art. 26-Klausel im DSE-Text erkannt → positives Signal 'JC-Konstrukt dokumentiert'. Vermeidet False-Positive bei Konzern-Schwester-Kooperationen. Alle in Mail eingehaengt: Branchen-Block nach GF-1-Pager, Signale-Block nach Konsistenz-Check. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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df8832c521 |
feat(audit): P75 Banner-vs-CMP + P84 Diff-Mode + P74/P96/P97 Doc-Types
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P75 — check_banner_vs_cmp_partner_count: wenn Banner-Text 'N Partner' nennt und N < cmp_vendors * 0.6, HIGH-Finding (Art. 13(1)(e) DSGVO). Erkennt Verharmlosung der tatsaechlichen Vendor-Anzahl. P84 — run_diff.py: vergleicht aktuellen Lauf mit letztem Snapshot derselben Site (set-Diff auf normalisierten Finding-Labels). Block ueber dem GF-1-Pager: 'Seit letztem Lauf: X Findings weg, Y neue'. USP — keiner der grossen Anbieter hat das. P74/P96/P97 — Labels fuer legal_notice (Rechtliche Hinweise / IP / Forward-Looking), dsa (Art. 12+17 Digital Services Act), lizenzhinweise (OSS-Compliance) in _DOC_TYPE_LABELS registriert. Echte Pflichtangaben- Checks kommen separat. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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7842c95532 |
feat(audit): P92 CMP-Tool-Verfuegbarkeit + P94 Banner-vs-Cookie-Doc-Konsistenz
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P92 — Wenn der Nutzer 'Anpassen'/'Einstellungen' klickt und der CMP-Settings-Bereich kein Fehlerfreies Laden zeigt (Error, Timeout, <80 Zeichen ohne Kategorien, keine Toggles), ist das ein HIGH- Finding. Granulare Wahl formal vorhanden, faktisch nicht funktionsfaehig (Art. 7 (3) DSGVO + EDPB 03/2022). P94 — Cookie-Liste im Banner-Settings vs Cookie-Richtlinie. Heuristik extrahiert Cookie-Namen aus dem Cookie-Doc-Text (regex auf typische camelCase/_underscored Patterns + Vendor-Prefixes _ga/_gid/ot_/uc_). Wenn |only_in_doc| >= 5 ODER |only_in_banner| >= 3 → MEDIUM-Finding. |only_in_doc| >= 15 UND |only_in_banner| >= 5 → HIGH. Beide Findings landen im neuen Mail-Block 'Banner-Konsistenz-Pruefung' (amber-yellow) zwischen Mismatch-Block und VVT. Auch in check_replay.py eingehaengt. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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08671adfdf |
feat(audit): P82 GF-1-Pager + P87 Konfidenz-Score pro Finding
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P82 — gf_one_pager.py: kompakte 5-Bullet-Kurzfassung ganz oben in der Mail. Score (gross + Farbe), Delta-zu-Vorlauf, Top-Findings nach HIGH/MEDIUM sortiert mit zustaendiger Rolle (DSB / Marketing / IT / Legal / Web-Team) und Klassifizierungsbits aus dem Wizard. Sachlicher Ton — keine 4%-Drohung, '4-8 Wochen' als realistischer Zeitrahmen. Eingehaengt vor Critical-Findings-Block in Mail-Composition und Replay-Pipeline. P87 — finding_confidence.py: 13 Regex-Regeln liefern (confidence_pct, reason) pro Finding-Label. Direkt im DOM beobachtbar = 95-98%, Library-Mismatch = 82%, Textmuster-Match auf Pflichtangaben = 75-88%. Im 1-Pager als kleines '(NN% Konfidenz)'-Tag mit Reason-Tooltip hinter jedem Finding gerendert. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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50fc0ecc59 |
feat(audit): P79 Pre-Scan-Wizard (8 Pflichtfelder) + P99 erweitert + P102 Replay-Fix
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P79: PreScanWizard.tsx mit 8 Pflichtfeldern (Branche, B2B/B2C,
Direkt-Vertrieb, Rechtsform, Konzern-Struktur, MA-Zahl, Besondere
Daten, Drittland). Scan-Button disabled bis alle 8 ausgefuellt. Werte
landen in scan_context und ueber Backend in compliance_check_snapshots.
P99: DOC_TYPES um dsa + legal_notice + lizenzhinweise + nutzungsbedingungen
erweitert. URL-hinzufuegen-Button war schon da.
P102 (Replay-Bug): check_replay.py liest jetzt e.get('text') statt
nur full_text — Snapshot-Schema verwendet 'text'. Library-Mismatch-
Block wird damit auch im Replay angezeigt.
Backend: ComplianceCheckRequest.scan_context optional; save_snapshot
persistiert ihn in compliance_check_snapshots.scan_context.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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94057b1536 |
feat(audit): VW-Cookie-Bug-Fix + P101/P102 Cookie-Library-Mismatch-Findings
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VW-Bug B1: extract_vendors_via_llm hatte max_text_chars=12000 -> bei VW-Cookie-Doc (60k chars, 100 Cookies in Tabelle) wurden 80% abgeschnitten, LLM extrahierte nur 1 Vendor. Fix: max_text_chars=50000, num_predict 6000->16000 fuer mehr Vendor-Output, Ollama-Timeout 120s->420s. P101 Aggregator-Script (backend-compliance/scripts/cookie_library_enrich.py) geht alle compliance_check_snapshots durch und extrahiert (cookie_name, declared_category, observed_sites). Erste Auswertung ueber 8 Snapshots: 101 unique Cookies, 47 in Library, 54 unbekannt, 18 Mismatches. P102 Cookie-Klassifikations-Pruefung als Mail-Block. Vergleicht Site-deklarierte Kategorie vs Library + Vendor-Doku. HIGH wenn Library sagt 'marketing' aber Site als 'essential'/'statistics' deklariert (faktische Drittland-/Werbe-Verarbeitung versteckt). MEDIUM sonst. In agent_compliance_check_routes Mail-Komposition + Replay-Pipeline eingebaut. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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9c11b5463c |
fix(audit): P98 + P100 — Cookie-Tabellen-Whitespace + Anpassen-Button-Check
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P98: HTML-Tabellen-Zellen wurden bei VW-Cookie-Richtlinie ohne Whitespace
verkettet ('smartSignals2UiDsmartSignals2sUiDsmartSignals2CPs...'). Grund:
el.textContent ignoriert Block-Element-Grenzen. Fix: innerText (whitespace-
respecting) statt textContent. Cookie-Namen werden jetzt einzeln erkannt —
VW-Lauf sollte ~100 Cookies statt 1 finden.
P100: Banner-Check fuer 'Anpassen'/'Einstellungen'-Button im Initial-Banner.
VW-Pattern: nur 2 Buttons (Nur technisch notwendige / Alle akzeptieren),
keine granulare Wahl vor Akzeptanz/Ablehnung. Faktische Manipulation
Richtung Pauschal-Akzeptanz. HIGH-Finding nach EDPB 5/2020 §82.
Pattern: anpassen/einstellungen/cookie-einstellungen/manage cookies/
preferences/customize.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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50ed0f45af |
fix(replay): P80 — DocCheckResult-Import entfernt (gibt es nicht in runner)
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Vorher hatte ich den Container hotfixed aber den Fix nicht committed. Beim naechsten Rebuild kam der Bug aus dem Image zurueck. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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e1df24cad7 |
fix(audit): P93+P95 — Reject-Wording erweitert + Vendor-zentrisches Cookie-Format akzeptiert
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P93: 'Cookies verbieten', 'Tracking ablehnen', 'verweigern' usw. zaehlen nun als expliziter Reject-Mechanismus. EDPB 5/2020 schreibt kein bestimmtes Wort vor — BMW False-Positive 'Kein Ablehnen-Mechanismus' weg. P95: cookie_table-Check akzeptiert nun zwei gleichwertige Formate: (a) klassische Tabelle, (b) Vendor-Detailseite mit Block pro Anbieter (Name+Anschrift, Zweck, Speicherdauer aggregiert, Cookie-Namen-Liste, Opt-Out-Link). BMW-Stil mit Adform-Block ist DSK-OH 2024 konform. False-Positive 'tabellarisches Cookie-Verzeichnis fehlt' wird seltener. Hinweis-Text in cookie_table umformuliert: nennt beide akzeptablen Formate, weniger normativ. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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e5b4672f2a |
fix(audit): P90 — auto-discovery Timeout 180s -> 300s fuer BMW-Homepage
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0d5c76ea98 |
fix(audit): P90-B1 — DSI-Discovery Timeout 120s -> 240s fuer BMW-Impressum
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BMW-fafcb090 zeigte exception 'ReadTimeout' beim consent-tester-Call fuer anbieterkennzeichnung.html. Der Discovery-Lauf folgt 3 Sub-Documents (Versicherungsvermittler, Aufsicht, Berufsrecht) plus ePaaS-Captures — braucht regelmaessig >120s. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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54f5a06c2f |
fix(audit): P90-Diagnose — verbose Exception fuer fetch+auto-discovery
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BMW-Lauf 760de886 hat 0 cmp_payloads obwohl consent-tester ePaaS 4x captured. Backend-Log zeigt 'Consent-tester fetch failed for ...anbieterkennzeichnung.html: ' mit LEEREM Exception-String. Auch 'auto-discovery failed for https://www.bmw.de/: ' ist leer. Quick-Fix: str(e) + type(e).__name__ in beiden Except-Bloecken, damit naechster BMW-Lauf den echten Fehler sichtbar macht. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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86b4a263d2 |
fix(audit): P90-B1 — cmp_payloads bei kurzem DSE-Text nicht verwerfen
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BMW-Lauf 9811eba1 hatte 0 cmp_vendors obwohl consent-tester ePaaS 4x
captured (~393KB). Root-Cause in _fetch_text Z.1254:
if merged and len(merged.split()) > 100:
return merged, cmp_payloads
Wenn DSE/Cookie-URL nur kurzen SPA-Shell-Text liefert (BMW: 10 Worte),
greift die Schwelle nicht — Code faellt durch zum HTTP-Fallback der
return text, [] zurueckgibt. Die zuvor captured CMP-Payloads (ePaaS-JSON
mit allen Vendor-Daten) werden komplett verworfen.
Fix: vor dem HTTP-Fallback pruefen ob cmp_payloads vorhanden sind. Wenn ja,
diese zurueckgeben mit dem (kurzen) Text oder dem rekonstruierten
cmp_cookie_text. Auch ohne 100-Wort-Schwelle.
Effekt: BMW-VVT-Tabelle wird gefuellt (~90 Vendors aus ePaaS-JSON).
Mercedes/andere OEMs unveraendert.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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7938e377b6 |
feat(audit-tonality): P89/P76/P91 — Co-Pilot statt Roboter-Anwalt
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User-Feedback in einer Session: "Wir erzeugen nur Panik. Egal was da steht,
es dauert Wochen. Wir sind Tool an der Seite von CMO/GF/CIO, nicht Gegner."
Memory: feedback_breakpilot_tonalitaet.md (gilt fuer ALLE Module + Marketing).
P89 Critical-Findings-Block ENTFERNT/UMGEBAUT — keine Panik-Rot-Box mehr.
- Statt "🚨 SOFORTMASSNAHMEN ERFORDERLICH" -> "Zusammenfassung fuer
die Geschaeftsfuehrung", blauer dezenter Block
- Statt "VERSTOSSE" -> "Themen zur Besprechung mit DSB, Marketing
und Entwicklung"
- Statt "Bussgeldrahmen 4% Weltumsatz" als Erstes -> realistische
Einordnung (0,1-1%) in dezenter Schluss-Notiz mit Konfidenz-Hinweis
- "Sofortmassnahme" -> "Empfehlung"
- "Themen 1, 2, 3..." statt "HIGH"-Badges (P87-Vorbereitung)
- Explizite Zeitschaetzung "4-8 Wochen (DSB -> Agentur -> Dev -> Freigabe)"
P76 Mercedes-Sekundaer-Buttons (Datenschutzerklaerung + Impressum klein
unter den 3 Haupt-Buttons) erkennen. Walker scant jetzt label-basiert
ALLE klickbaren Elemente im Shadow-DOM (wb7-link, wb7-link-secondary,
wb7-button-text, span[onclick], small a, [role=button], etc.).
Vermeidet Mercedes-Impressum-False-Positive der Phase 1.
P91 VVT-Tabellen-Renderer in neuer Co-Pilot-Tonalitaet. Statt
"Verstoss-Liste mit Bussgeldpotenzial" -> Wahrscheinlichkeits-Aussage:
"Bei Anbieter-Reduktion + Wechsel zu europaeischen Alternativen ist
Reduktion des Tracking-Footprints + Lizenz-Einsparung wahrscheinlich.
Fundierte Bewertung erfordert DSB-Abstimmung."
BMW-Bug B1-B4 (P90) bewusst nicht in diesem Commit: BMW-Lauf hat ePaaS
4x captured im consent-tester, aber Backend bekommt 0 cmp_payloads.
Wiring-Bug zwischen consent-tester /dsi-discovery und Backend
_fetch_text — eigene Diagnose-Session noetig (siehe Task P90).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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