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
Configurations
No configuration.
History
14 May 2026, 20:17
| Type | Values Removed | Values Added |
|---|---|---|
| CVSS |
v2 : v3 : |
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
