matlab-integrate-pytorch-vision
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Audited by Socket on Aug 2, 2026
1 alert found:
AnomalyAnomalyreferences/demo-birefnet.md
LOWAnomalyLOW
references/demo-birefnet.md
No direct indicators of intentional malware are present in the provided snippet; it is a typical model download/load/infer/demo flow. The main security concern is supply-chain exposure: it automates cloning and executing third-party repository code, installs dependencies from requirements.txt, and downloads/deserializes pretrained weights without showing integrity verification or strong pinning. In a production or high-trust environment, this should be hardened with pinned versions/commits, dependency lockfiles, and verified hashes/signatures for weights and source artifacts.
Confidence: 58%Severity: 52%
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