Caveat verdict
anomalib-detector
88
🟢 Trusted
No high-risk patterns surfaced by the deep scan — automated capability review, not behavioral proof.
Industrial anomaly detection using the anomalib ML library; reads local image files and outputs detection results without any network exfiltration.
⚠ Flagged for review — coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.
Automated static analysis — not a human review. Caveat flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.
68
security
40
transparency
70
maintenance
Permission integrity
Performs file operations but does not declare file-accessing binaries
file_read
Installs packages at runtime — transitive dependencies are not auditable
package_install
Findings (1)
Pattern match high
Pipe to python — executes piped content as Python code
README.md · prose · downgraded · | Python
Permissions & capabilities
No declared permissions — minimal attack surface.
package_installfile_read Is this flag fair?
Thanks — recorded.