ai model report

Is Synaptics/MobileNetV2 safe to load?

CLEAN risk. 3 of 15 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 70supply chain 100scanner trust 100code execution 100
fig. 01 — posture on eight axes, 100 is clean. Weakest: load safety 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
Synaptics
Loader
keras
License
mit
Downloads
117,220
Remote code
not required
// dependencies

3 direct, 3 with findings, 12 reachable

PackageEvidenceAdvisoriesWorst
tensorflowdirect, inferred434none pinned
kerasdirect, runtime20none pinned
Create a free accountto see all 15 dependencies, which versions are pinned, and what to change.

Risk computed 2026-11-06 at 21:56 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.