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feat(pair-corpus-honesty): add vibe-py, vfc-js and agent-vfc slices with mechanism vocabulary
Tasks 1.1, 5.1, 5.2, 5.4 and the data half of 5.3. - mechanisms.toml: closed vocabulary v1 (20 ids) every expected row cites. - vibe-py: 35 Real-Vuln-Benchmark pairs (Apache-2.0), human provenance only because the LLM-generated repositories carry no license (escalated). - vfc-js: 17 Node fix-commit pairs harvested upstream (MIT/Apache-2.0), SecBench.js itself is not vendored (no license); sinks derived on 13/17. - agent-vfc: 29 agent-trailer fixes as catalog-candidates.toml plus REVIEW.md; the loaded catalog stays empty until a human reviews them. - datasets.toml and README document every slice and its review status. Co-Authored-By: Claude Fable 5.1 <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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Claude Fable 5.1
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# Provenance: manuelz120/extremely-vulnerable-flask-app search (vuln).
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# repo: manuelz120/extremely-vulnerable-flask-app
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# commit: d5d8875559e21222bbbaadb7b9f0af592c6eb7fa
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# parent: d5d8875559e21222bbbaadb7b9f0af592c6eb7fa
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# commit_url: https://github.com/manuelz120/extremely-vulnerable-flask-app/blob/d5d8875559e21222bbbaadb7b9f0af592c6eb7fa/routes/account.py#L33
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# cve:
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# license: GPL-3.0
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# function: search
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# relpath: routes/account.py
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# provenance: human
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# mechanism: source_reaches_sink
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def search():
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search_param = request.args.get('search', '')
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with Session() as session:
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session.query(Note)
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personal_notes = session.query(Note).filter(
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Note.user_id == current_user.id,
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text(f"text like '%{search_param}%'")).all()
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return render_template(
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'search.html',
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search=search_param,
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personal_notes=personal_notes,
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)
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