Caveat verdict

aml-data-generator

88
๐ŸŸข Trusted
No high-risk patterns surfaced by the deep scan โ€” automated capability review, not behavioral proof.

Generates synthetic AMLSim-format transaction data for testing anti-money laundering systems using local Python scripts; the execution sink is from documented pipeline scripts with no external data transmission or exfiltration.

โš  Flagged for review โ€” coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

Automated static analysis โ€” not a human review. Caveat flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.

98
security
70
transparency
70
maintenance

Findings (1)

Pattern match low

Python os.environ.get โ€” reads environment variable

references/LOCKS.md ยท prose ยท downgraded ยท os.environ.get(

Why the tier is capped

Execution sink present in raw bytes (Hard Floor: class B). Final tier capped at Caution โ€” cannot be lifted by any downgrade, example-payload opt-in, or allowlist.

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

Is this flag fair?

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