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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
25 lines
773 B
Python
25 lines
773 B
Python
# Provenance: TheWation/PythonSSTI read_root (vuln).
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# repo: TheWation/PythonSSTI
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# commit: 76339c27d5a870c0a81bad6aee5f9bd516592145
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# parent: 76339c27d5a870c0a81bad6aee5f9bd516592145
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# commit_url: https://github.com/TheWation/PythonSSTI/blob/76339c27d5a870c0a81bad6aee5f9bd516592145/main.py#L14
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# cve:
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# license: MIT
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# function: read_root
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# relpath: main.py
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# provenance: human
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# mechanism: source_reaches_sink
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async def read_root(username=None):
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username = username or "Guest"
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Jinja2 = Environment()
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# Vulnerable Implementation
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output = Jinja2.from_string("Welcome " + username + "!").render()
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# Safe Implementation
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# output = Jinja2.from_string("Welcome {{ user_name }}!").render(user_name=username)
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return HTMLResponse(content=output)
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