CVE-2026-31239
Summary
| CVE | CVE-2026-31239 |
|---|---|
| State | PUBLISHED |
| Assigner | mitre |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2026-05-12 18:16:52 UTC |
| Updated | 2026-05-13 15:47:35 UTC |
| Description | 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. |
Risk And Classification
EPSS: 0.000190000 probability, percentile 0.054730000 (date 2026-05-13)
Problem Types: n/a
Vendor Declared Affected Products
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| www.notion.so/CVE-2026-31239-35d1e1393188810d9baedfbd8363f396 | [email protected] | www.notion.so | |
| github.com/state-spaces/mamba | [email protected] | github.com | |
| CVE Program record | CVE.ORG | www.cve.org | canonical |
| NVD vulnerability detail | NVD | nvd.nist.gov | canonical, analysis |
No vendor comments have been submitted for this CVE.
There are currently no legacy QID mappings associated with this CVE.