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mamba-ssm vulnerabilities

Vulnerabilities published for mamba-ssm in the last 30 days: 0. Listed in the KEV catalogue: 0.

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Vulnerability: 1

  1. CVE-2026-31239

    Critical · CVSS 9.8EPSS 0.41%No fix published

    CVE-2026-31239

    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.

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