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 3.19.8 (CRITICAL)
VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS0.41% probability of exploitation · percentile 32.5% · 2026-06-18T12:00:27Z
Published2026-05-12
Last modified2026-05-14

Underlying weaknesses· 1

CWE-502

References

  1. https://github.com/state-spaces/mamba
  2. https://www.notion.so/CVE-2026-31239-35d1e1393188810d9baedfbd8363f396

1

TypeTargetConfidenceTier
WeaknessDeserialization of Untrusted Datacwe-5020%live

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Sourced from NVD + FIRST.org EPSS. Curated for EU compliance use cases by Adam Lundqvist, Founder at SQUR.