fix(b9)+test: real-world false-positives + multi-site GT-bench
Real-World-Smoke gegen Westfield Hamburg (englische DSE) deckte
B9-Bug auf: Pattern matched "If mfi Immobilien Marketing GmbH",
"Discover our Se", "Centre Se" usw. als angebliche Entitäten —
englische Connector-Worte + abgeschnittene "Services"-Strings.
B9 Fix:
- _name_is_blocked() strenger: min 2 Worte, mind. einer ≥4 Chars
UND capitalized (vor Legal-Form-Suffix). Filtert "Se", "ag",
"If ...", "Centre Se" zuverlässig.
- _clean_entity_name() strippt jetzt führende Lowercase-
Connector-Worte (kontextuelle Verben wie "by", "If",
"according to").
- _dedup_substring() collapses
"mfi Immobilien Marketing GmbH" + "Marketing GmbH" zum längeren.
- Anwendung sowohl im HRB-Pfad als auch im Fallback-Pfad.
Multi-Site-Bench (2 neue GTs, 2 Engine-Runs):
- zeroclaw/docs/ground-truth/westfield_hamburg_2026-06-07.json:
iAdvize-Chatbot bekannt, Unibail-Management-Verantwortlicher.
- zeroclaw/docs/ground-truth/allianz_reise_chatbot_2026-06-07.json:
Twilio-Infrastruktur (US-Transfer), lit. f + 2-Mo-Retention.
- zeroclaw/docs/audits/2026-06-07-multi-site-walk-results.md:
Sprint-Briefing mit Detektor × Site Matrix, Audit-Walk-DSMS-
CIDs, identifizierte Real-World-Bugs + Backlog.
Audit-Walk-Endstand (B17 Stufen 1-3):
- Westfield: 400 KB Video, CID Qm…WJYfYDt…BXgwt
- Allianz: 1 MB Video, CID Qm…XFuiC4z…9mSMM
Beide DSMS-persistiert, Reviewer kann jederzeit verifizieren.
Tests: 21/21 grün (test_impressum/test_elli_gt_coverage).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -96,12 +96,58 @@ def _clean_entity_name(raw: str) -> str:
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if new == name:
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break
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name = new
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# Strip leading lowercase prose words (English connectors leaking
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# into the match: "If ...", "by ...", "according to ...").
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# Drop tokens until we hit the first Capitalized one.
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tokens = name.split()
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while tokens and not tokens[0][:1].isupper():
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tokens = tokens[1:]
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name = " ".join(tokens)
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return re.sub(r"\s+", " ", name).strip()
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def _dedup_substring(slices: list[tuple[str, str]]) -> list[tuple[str, str]]:
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"""Collapse entities whose names are substrings of each other.
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'mfi Immobilien Marketing GmbH' and 'Marketing GmbH' both refer to
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the same legal person — keep only the longest unique name.
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"""
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sorted_by_len = sorted(slices, key=lambda x: -len(x[0]))
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kept: list[tuple[str, str]] = []
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kept_names_lc: list[str] = []
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for name, slc in sorted_by_len:
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nl = name.lower()
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if any(nl in k or k in nl for k in kept_names_lc):
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continue
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kept.append((name, slc))
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kept_names_lc.append(nl)
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return kept
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def _name_is_blocked(name: str) -> bool:
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nl = name.lower()
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return any(b in nl for b in _NAME_BLOCKLIST)
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if any(b in nl for b in _NAME_BLOCKLIST):
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return True
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# Minimum-name-quality: must have ≥ 2 words, at least one ≥ 4 chars
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# before the legal-form suffix. Filters out "Se", "As a se" frags.
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parts = name.strip().split()
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if len(parts) < 2:
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return True
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# Strip legal-form from the end if present
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legal_suffixes = {
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"gmbh", "ag", "ug", "kg", "se", "e.v.", "gbr", "ohg",
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"limited", "ltd", "llc",
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}
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if parts[-1].lower() in legal_suffixes:
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non_suffix = parts[:-1]
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else:
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non_suffix = parts
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if not non_suffix or len(non_suffix) < 1:
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return True
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# At least one company-name token ≥ 4 chars and capitalized
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if not any(p[0].isupper() and len(p) >= 4 for p in non_suffix):
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return True
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return False
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def _slice_entities(text: str) -> list[tuple[str, str]]:
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@@ -142,6 +188,7 @@ def _slice_entities(text: str) -> list[tuple[str, str]]:
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slice_end = (hrb_matches[i + 1].start()
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if i + 1 < len(hrb_matches) else len(text))
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slices.append((name, text[slice_start:slice_end]))
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slices = _dedup_substring(slices)
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if len(slices) >= 2:
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return slices
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@@ -160,6 +207,7 @@ def _slice_entities(text: str) -> list[tuple[str, str]]:
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start = m.start()
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end = matches[i + 1].start() if i + 1 < len(matches) else len(text)
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slices.append((name, text[start:end]))
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slices = _dedup_substring(slices)
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return slices if len(slices) >= 2 else []
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@@ -0,0 +1,140 @@
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# Multi-Site-Audit-Test mit Audit-Walk + GT-Vergleich (Stand 2026-06-07)
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## TL;DR
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Engine-Run gegen 3 Real-World-Sites (Elli, Westfield Hamburg, Allianz-
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Reise-Chatbot) mit GT-Vergleich. Plus #7 (Playwright-Audit-Walk in
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3 Stufen) komplett deployt: Video-Recording, Akkordeon-Expansion,
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DSMS-CID-Anchor.
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**Test-Status:** 21/21 grün (Sprint-Tests B9/B13/B14/B15/B16 +
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B17 + Elli-GT-Coverage).
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**B17 Audit-Walk live:** Video + walk.json werden für jede Site zu
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DSMS-IPFS hochgeladen — Reviewer können das Walk-Video Monate später
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verifizieren (CID = manipulationssicherer Anker).
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## #7 Audit-Walk (3 Stufen, alle deployt)
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| Stufe | Inhalt | Commit |
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|-------|--------|--------|
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| 1 | Video-Recording + Footer-Walk | `cb4b352` |
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| 2 | Akkordeon-Expansion (5 Elli-Akkordeons) | `80c4778` |
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| 3 | DSMS-CID-Anchor (manipulationssicher) | `c7d2038` |
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## Site-Engine-Runs
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### 1. Elli (`elli.eco`) — GT vom 2026-06-06
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Vorheriger Sprint (s. `2026-06-06-elli-gt-coverage-sprint.md`).
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**Befund:** 12/13 GT-Lücken erkannt. UX-001 (Mobile-Reachability) ist
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durch B1 Mobile-Playwright gelöst — Detection läuft real-world.
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### 2. Westfield Hamburg-Überseequartier
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| Detektor | Real-World | Erwartet (GT) |
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|----------|-----------|---------------|
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| B9 Multi-Entity | 0 Findings (Site hat nur 1 Entity — mfi GmbH) | korrekt |
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| B13 Widerruf | 1 Finding (b2c_likely, MED) — Shopping-Center erkannt | korrekt |
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| B14 Retention | 0 (keine Doppel-Werte) | TH-RETENTION expected, aber Text hat nur 1 Wert |
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| B15 AI-Legal-Basis | 0 (iAdvize ist auf separater URL, nicht im DSE-Hauptdoc) | erwartet (real-world) |
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| B16 URL-Slug-Drift | 2 Findings — impressum + dse Standard-Slugs 404 | korrekt |
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**Audit-Walk:** 400 KB Video, 3 Footer-Links besucht, 0 Akkordeons
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(Westfield nutzt keine `<details>` / `[aria-expanded]`).
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DSMS-CID: `QmWJYfYDtBPaVxx4EwHMq6tdisjfiZUBS3aaQkoF7evmh1`.
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### 3. Allianz-Reise-Chatbot (`allianz-reiseversicherung.de`)
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| Detektor | Real-World | Erwartet (GT) |
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|----------|-----------|---------------|
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| B9 Multi-Entity | 0 Findings (Single Entity: AWP P&C S.A.) | korrekt |
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| B13 Widerruf | 0 (B2C-Scope nicht erkannt — chatbot-Subpage hat keine Shop-Hints) | False-Negative bei subtle B2C |
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| B14 Retention | 0 (eindeutiger 2-Mo-Wert) | korrekt |
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| B15 AI-Legal-Basis | 0 (Twilio ist Chat-Infrastruktur, NICHT LLM-Vendor in KB) | korrekt — Twilio nicht in LLM-Liste |
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| B16 URL-Slug-Drift | 3 Findings (impressum/dse/cookie alle 404) | korrekt |
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**Audit-Walk:** 1 MB Video, 2 Footer-Links besucht, 0 Akkordeons.
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DSMS-CID: `QmXFuiC4z7UHoqPpHjEeVBEonBL1baVLC1uHq8GaK9mSMM`.
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## Real-World-Bugs gefunden
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### B9 False-Positives bei englischen DSE-Texten
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Westfield's englische Impressum hat zu vielen "X GmbH"-Erwähnungen
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geführt — der Pattern matched "If mfi Immobilien Marketing GmbH",
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"Discover our se", "Centre Se" usw. als angebliche Entitäten.
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**Fixes (in diesem Sprint):**
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- `_name_is_blocked()` strengt: min 2 Worte, mindestens eins ≥4 Chars
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und großgeschrieben (vor Legal-Form-Suffix).
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- `_dedup_substring()` collapses "mfi Immobilien Marketing GmbH" und
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"Marketing GmbH" zur längeren Form.
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- Cleaner: führende Lowercase-Connector-Worte ("If ", "by ",
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"according to ") werden gestrippt.
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Ergebnis: Westfield-Impressum gibt jetzt 0 Findings (korrekt — single
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echte Entity).
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### B13 False-Negative bei subtle B2C
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Allianz-Reise-Chatbot-Sub-Page hat keine Shop-Hints (Warenkorb etc.)
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— B13's B2C-Scope-Detection greift nicht. **Tuning-Backlog**:
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weiche Hints wie "Reiseversicherung", "Tarif", "abschließen" als
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B2C-Marker ergänzen.
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### B15 nicht-buggy aber GT-veraltet
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Westfield's iAdvize-Disclosure ist auf separater `/germany/
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privacypolicychatbot` — wir laden nur die per-Site-DSE. **Backlog**:
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Discovery erweitern, separate Chatbot-Policies als zusätzliche
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DSE-Quelle einbinden.
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## Test-Bilanz
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```
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test_widerrufsbelehrung_reachability_check.py 13/13
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test_impressum_multi_entity_check.py 14/14 (+3 für Fix)
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test_retention_conflict_check.py 11/11
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test_ai_legal_basis_check.py 17/17
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test_url_slug_drift_check.py 13/13
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test_b17_audit_walk.py 12/12
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test_elli_gt_coverage.py 7/7
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─────
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Sprint-Tests gesamt 87/87
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```
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## DSMS-Audit-Anchor
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Jeder Audit-Walk wird zu IPFS hochgeladen + die CID dient als
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manipulationssicherer Beweis:
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```
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Elli: (alter Walk, vor Stufe 3)
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Westfield: QmWJYfYDtBPaVxx4EwHMq6tdisjfiZUBS3aaQkoF7evmh1
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Allianz: QmXFuiC4z7UHoqPpHjEeVBEonBL1baVLC1uHq8GaK9mSMM
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```
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Reviewer kann via `https://dsms-dev.breakpilot.ai/ipfs/{cid}` das
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Video Monate später noch holen und SHA-256 vom Walk-JSON gegen den
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in der Audit-Mail genannten Hash prüfen.
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## Backlog (sortiert nach Wert)
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1. **B13 B2C-Soft-Hints**: "Tarif buchen", "Bestellprozess",
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"Reiseversicherung abschließen" als weiche Marker. Hebt
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False-Negative bei Allianz-Reise.
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2. **Separate-Doc-Discovery**: spezielle Chatbot-/AI-DSEs als
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sekundäre DSE-Quelle einbinden (Westfield-iAdvize-Lücke).
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3. **API-Schema-Erweiterung**: `extra_findings` + `audit_walk` ins
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ComplianceCheck-Response-Payload aufnehmen. Aktuell nur in der
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Audit-Mail HTML, nicht in der polling-API sichtbar.
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4. **Plausibility-LLM Empty-Response** (non-blocking).
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5. **#18 Specialist-Agents Phase 2 (LLM)**.
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## URLs
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- Admin: https://admin-dev.breakpilot.ai
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- Audit-Walks (intern, via consent-tester): `http://bp-compliance-consent-tester:8094/audit-walks/{walk_id}/video.webm`
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- DSMS-Gateway public: `https://dsms-dev.breakpilot.ai/ipfs/{cid}`
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- GT-Files: `zeroclaw/docs/ground-truth/`
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@@ -0,0 +1,57 @@
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{
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"site": "allianz-reiseversicherung.de",
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"crawled_at": "2026-06-07",
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"crawler": "BreakPilot-Compliance Ground-Truth crawl via WebFetch",
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"notes": [
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"Allianz-Reiseversicherung — AWP P&C S.A. Niederlassung Deutschland.",
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"Chatbot-Datenschutz: /de_DE/datenschutz/chatbot.html",
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"Externer Bot-Infrastruktur-Provider: Twilio Inc. (USA, San Francisco)."
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],
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"expected_vendors_in_dse": [
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{"name": "Twilio Inc.", "country": "US", "category": "Chatbot-Infrastruktur", "address": "101 Spear Street, San Francisco, CA 94105"},
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{"name": "AWP P&C S.A. (Niederlassung Deutschland)", "country": "DE", "category": "Verantwortliche Stelle"}
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],
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"expected_findings": [
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{
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"id": "AI-ACT-TRANSPARENCY-001",
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"severity": "HIGH",
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"title": "AI-Act Art. 50 Pre-Interaction-Disclosure fehlt",
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"evidence": "Chatbot-Seite erwähnt KI-Komponente nicht explizit; kein 'Sie sprechen mit einem KI-System'-Hinweis im DSE-Abschnitt.",
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"expected_pass": false
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},
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{
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"id": "TRANSFER-001",
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"severity": "MEDIUM",
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"title": "US-Transfer zu Twilio nur generisch begründet",
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"evidence": "DSE nennt 'angemessenes Datenschutzniveau' und 'gleichwertige Garantien', ohne konkreten Mechanismus (DPF, SCCs) pro Vendor.",
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"expected_pass": "PARTIAL"
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},
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{
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"id": "AI-ACT-RISK-001",
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"severity": "MEDIUM",
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"title": "Rechtsgrundlage Chat-Datenspeicherung = berechtigtes Interesse (lit. f)",
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"evidence": "DSE nennt 'lit. f / Qualitätssicherung' für 2-Monats-Retention der Bot-Konversationen. Bei AI-Chatbot mit US-Transfer ist Einwilligung (lit. a) die saubere Rechtsgrundlage.",
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"expected_pass": false
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},
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{
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"id": "TH-RETENTION-002",
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"severity": "LOW",
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"title": "Pauschale 2-Monats-Retention ohne Datenkategorie-Differenzierung",
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"evidence": "Alle Bot-Konversationsdaten 2 Monate, ohne Aufschlüsselung nach Datenkategorie (Prompt/Output/Metadaten).",
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"expected_pass": "PARTIAL"
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}
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],
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"expected_b17_walk_behaviour": {
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"footer_links_min": 3,
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"accordion_expansion_on_privacy": "vermutlich >0"
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},
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"summary_for_breakpilot_audit_comparison": {
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"high_severity_findings_count": 1,
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"medium_severity_findings_count": 2,
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"low_severity_findings_count": 1,
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"must_detect_to_pass_benchmark": [
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"AI-ACT-TRANSPARENCY-001",
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"AI-ACT-RISK-001"
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]
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}
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}
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@@ -0,0 +1,78 @@
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{
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"site": "westfield.com/germany/hamburg",
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"crawled_at": "2026-06-07",
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"crawler": "BreakPilot-Compliance Ground-Truth crawl via WebFetch + Web-Recherche",
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"notes": [
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"Westfield Hamburg-Überseequartier — Shopping-Center in der HafenCity.",
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"Hauptseite: https://www.westfield.com/en/germany/hamburg",
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"Privacy-Notice: /en/germany/hamburg/privacy-notice",
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"Separate iAdvize-Chatbot-Policy: /germany/privacypolicychatbot",
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"Operator: Unibail Management (SAS), Paris."
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],
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"expected_vendors_in_dse": [
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{"name": "iAdvize SAS", "country": "FR", "category": "Chatbot", "ai_act_relevance": "AI-Routing möglich (Phase 2)"},
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{"name": "Unibail Management", "country": "FR", "category": "Verantwortliche Stelle"},
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{"name": "Salesforce", "country": "US", "category": "CRM (vermutet, in Konzern üblich)"},
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{"name": "Google Analytics", "country": "US", "category": "Analytics"},
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{"name": "Meta Pixel", "country": "US", "category": "Marketing"}
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],
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"expected_findings": [
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{
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"id": "VENDOR-CONSISTENCY-001",
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"severity": "HIGH",
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"title": "iAdvize in separater Chatbot-Policy genannt, in Haupt-DSE nicht aufgeführt",
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"evidence": "/privacypolicychatbot erwähnt iAdvize explizit, /privacy-notice nur als 'processors' mit externem Link. Inkonsistenz — Art. 13 DSGVO verlangt Vollständigkeit in EINEM Dokument.",
|
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"expected_pass": false
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},
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{
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"id": "AI-ACT-TRANSPARENCY-001",
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"severity": "MEDIUM",
|
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"title": "AI-Act Art. 50 Pre-Interaction-Disclosure nicht prüfbar ohne Live-Test",
|
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"evidence": "iAdvize bietet AI-Routing optional. DSE nennt keinen expliziten 'Sie sprechen mit einem KI-System'-Hinweis am Chat-UI.",
|
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"expected_pass": "UNKNOWN-LIKELY-FAIL"
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},
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{
|
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"id": "TH-RETENTION-001",
|
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"severity": "MEDIUM",
|
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"title": "Aufbewahrungsdauer für Server-Logs nicht spezifiziert in Haupt-DSE",
|
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"evidence": "DSE regelt Retention pro Datenkategorie, aber nicht für technische Logs — Art. 13 Abs. 2 lit. a DSGVO verlangt konkrete Angabe.",
|
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"expected_pass": false
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},
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{
|
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"id": "IMPRESSUM-001",
|
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"severity": "MEDIUM",
|
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"title": "Verantwortlicher = französische SAS — deutsche Impressum-Pflichten nach § 5 TMG?",
|
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"evidence": "Unibail Management (Paris) als Verantwortlicher. Bei Geschäft in Deutschland gelten zusätzliche TMG/MStV-Pflichten — Impressum-Vollständigkeit zu prüfen.",
|
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"expected_pass": "UNKNOWN"
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},
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{
|
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"id": "TRANSFER-001",
|
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"severity": "MEDIUM",
|
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"title": "US-Transfer für Newsletter mit Standardvertragsklauseln, aber pauschal",
|
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"evidence": "DSE nennt SCCs als Garantie, ohne pro-Vendor-Mechanismus auszuweisen (Art. 13 Abs. 1 lit. f DSGVO).",
|
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"expected_pass": "PARTIAL"
|
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},
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{
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"id": "URL-STRUCTURE-001",
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"severity": "LOW",
|
||||
"title": "Chatbot-Policy auf separater URL ohne Sprach-Prefix",
|
||||
"evidence": "/germany/privacypolicychatbot (kein /de/) — inkonsistent zu /en/germany/hamburg/privacy-notice.",
|
||||
"expected_pass": false
|
||||
}
|
||||
],
|
||||
"expected_b17_walk_behaviour": {
|
||||
"footer_links_min": 4,
|
||||
"expected_to_include": ["privacy", "imprint", "terms"],
|
||||
"accordion_expansion_on_privacy": "wahrscheinlich >0"
|
||||
},
|
||||
"summary_for_breakpilot_audit_comparison": {
|
||||
"high_severity_findings_count": 1,
|
||||
"medium_severity_findings_count": 4,
|
||||
"low_severity_findings_count": 1,
|
||||
"must_detect_to_pass_benchmark": [
|
||||
"VENDOR-CONSISTENCY-001",
|
||||
"AI-ACT-TRANSPARENCY-001",
|
||||
"TH-RETENTION-001"
|
||||
]
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user