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CVE-2026-31239

CVE-2026-31239

This page contains facts from public vulnerability sources. Check the original advisory before updating.

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.

CVSS 9.8 · Critical · EPSS 0.4%

Published
Updated

Stack: python

Affected products and versions

  • n/a

    Versions
    • n/a: Affected

    No fix published

  • mamba-ssm PyPI

    Versions
    • 1.0.1
    • 1.1.0
    • 1.1.1
    • 1.1.2
    • 1.1.3.post1
    • 1.1.4
    • 1.2.0
    • 1.2.0.post1
    • 1.2.1
    • 1.2.2
    • 2.0.0
    • 2.0.1
    • 2.0.2
    • 2.0.3
    • 2.0.4
    • 2.1.0
    • 2.2.0
    • 2.2.1
    • 2.2.2
    • 2.2.3.post2
    • 2.2.4
    • 2.2.5
    Affected ranges
    • ECOSYSTEM: ≤ 2.2.6

    No fix published

Original sources

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