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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
37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
# Provenance: anotherik/ThreatByte dashboard (vuln).
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# repo: anotherik/ThreatByte
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# commit: c4db46f72586c4ecb65859051ea037018dbf0e5e
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# parent: c4db46f72586c4ecb65859051ea037018dbf0e5e
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# commit_url: https://github.com/anotherik/ThreatByte/blob/c4db46f72586c4ecb65859051ea037018dbf0e5e/server/routes.py#L137
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# cve:
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# license: MIT
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# function: dashboard
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# relpath: server/routes.py
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# provenance: human
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# mechanism: source_reaches_sink
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def dashboard():
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# Check if the user is logged in
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if 'username' in session:
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search_query = request.args.get('search', '')
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# Get user_id from the session username
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with get_db_connection() as conn:
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cursor = conn.cursor()
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query = "SELECT id FROM users WHERE username = ?"
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cursor.execute(query, (session['username'],))
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user = cursor.fetchone()
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user_id = user['id']
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if search_query:
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s_query = f"SELECT filename FROM files WHERE user_id = {user_id} AND filename LIKE '%{search_query}%'"
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cursor.execute(s_query)
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else:
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cursor.execute("SELECT filename FROM files WHERE user_id = ?", (user_id,))
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files = [row['filename'] for row in cursor.fetchall()]
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return render_template('dashboard.html', files=files, search_query=search_query)
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else:
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return redirect(url_for('login'))
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