CVE-2026-31239 (GCVE-0-2026-31239)

Vulnerability from cvelistv5 – Published: 2026-05-12 00:00 – Updated: 2026-05-14 19:54
VLAI
Summary
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.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-14 16:52 UTC
CWE
  • n/a
  • CWE-502 - Deserialization of Untrusted Data
Assigner
mitre CNA under the mitre root
CNA scorecard E 29/100 over 2337 records in the last 180 days details
References
Show details on NVD website
To clipboard 

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