ai model report

Is C-Tianyu/NanoJev safe to load?

CLEAN risk. 3 of 4 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

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// posture
advisories 100provenance 100resolution 100xyz safety 100load safety 100supply chain 100scanner trust 100code execution 70
fig. 01 — posture on eight axes, 100 is clean. Weakest: code execution at 70.
// the finding
not scoredno advisory applies to a version this model pinsCLEAN

INFO3 package(s) in the runtime/inferred stack carry advisories. Not counted toward risk — no version is declared, so we can't say which one gets installed.

Author
C-Tianyu
Loader
pytorch
Downloads
7,162
Remote code
not required
// dependencies

3 direct, 3 with findings, 1 reachable

PackageEvidenceAdvisoriesWorst
opencv-pythondirect, runtime31none pinned
numpydirect, runtime8none pinned
Create a free accountto see all 4 dependencies, which versions are pinned, and what to change.

Risk computed 2026-09-25 at 20:47 UTC. Dependencies come from the model's requirements, its declared loader and the code it ships; advisories from NVD, GHSA and OSV.

Model risk is computed from the model's declared and observed Python dependencies and the code it ships. If a finding is wrong, tell us.