CVE-2026-31239

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.
Configurations

No configuration.

History

14 May 2026, 20:17

Type Values Removed Values Added
CVSS v2 : unknown
v3 : unknown
v2 : unknown
v3 : 9.8
CWE CWE-502

12 May 2026, 18:16

Type Values Removed Values Added
New CVE

Information

Published : 2026-05-12 18:16

Updated : 2026-05-14 20:17


NVD link : CVE-2026-31239

Mitre link : CVE-2026-31239

CVE.ORG link : CVE-2026-31239


JSON object : View

Products Affected

No product.

CWE
CWE-502

Deserialization of Untrusted Data