Description (CNA)
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.
Affected (CNA)
| Vendor / product | Versions |
|---|---|
| n/a / n/a | affected n/a |
CWE
No CWE identifiers supplied.
References
- https://github.com/state-spaces/mamba
- https://www.notion.so/CVE-2026-31239-35d1e1393188810d9baedfbd8363f396
ADP enrichment
No English description supplied.
No references supplied.