CVE-2026-31239CRITICAL 9.8EPSS p32.5%
CVE-2026-31239CVE-2026-31239
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.
Scoring
| CVSS 3.1 | 9.8 (CRITICAL) |
| Vector | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |
| EPSS | 0.41% probability of exploitation · percentile 32.5% · 2026-06-18T12:00:27Z |
| Published | 2026-05-12 |
| Last modified | 2026-05-14 |
Underlying weaknesses· 1
References
1
| Type | Target | Confidence | Tier |
|---|---|---|---|
| Weakness | Deserialization of Untrusted Datacwe-502 | 0% | live |
Related by meaning· 6
Nearest entities by semantic similarity across the cs-graph corpus.