~ / search / GHSA-pq2f-x424-6fjm

GHSA-pq2f-x424-6fjm

mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub

Source: GitHub Advisory Database (reviewed) Critical CVE-2026-31239

Packages

EcosystemPackageAffectedFixed in
PyPI mamba-ssm <= 2.2.6 no fix listed

Details

As written in the advisory (Markdown source, shown as plain text).

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization (CWE-502) when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by publishing a malicious model repository on HuggingFace Hub. When a victim loads a model from this repository, arbitrary code is executed on the victim's system in the context of the mamba process.

References

External links from the advisory. They lead to third-party sites.