Downloads · 30 days
0
celvexgroup/modelscan-pytorch-bin-magic-skip-poc
modelscan-pytorch-bin-magic-skip-poc is a machine learning model from celvexgroup. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Coordinated disclosure PoC for huntr (Protect AI MFV). Benign only.
Downloads · 30 days
0
Access
Public
Updated Jul 19, 2026
Repo size
1.1 KB
Likes
0
Public
Click a slice to open those files.
Other1.5 KB · 36%
From the Hugging Face model README
Coordinated disclosure PoC for huntr (Protect AI MFV). Benign only.
modelscan -p dl4j_bypass.zip -> 'No issues found', exit 0: a raw unsafe-op pickle carried in a PyTorch-extension member (DL4J's coefficients.bin) is skipped by scan_pytorch as 'Invalid magic number' and never opcode-scanned. dl4j_control.zip (byte-identical, member renamed coefficients.pkl) -> CRITICAL exit 1 (positive control). standalone_payload.bin vs .pkl show the same split.torch.load('standalone_payload.bin', weights_only=False) raises 'Invalid magic number' BUT the payload already executed during the pre-check pickle load (CWE-436): the same magic-check modelscan uses to SKIP, torch uses to execute-then-reject.Files: dl4j_bypass.zip (bypass), dl4j_control.zip (fires), standalone_payload.bin/.pkl. Full report in huntr submission.