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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Tue, 12 May 2026 18:45:00 +0000

Type Values Removed Values Added
Title Insecure Deserialization in Mamba Language Model Framework 2.2.6 Allows Remote Code Execution
Weaknesses CWE-502

Tue, 12 May 2026 17:30:00 +0000

Type Values Removed Values Added
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.
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cve-icon MITRE

Status: PUBLISHED

Assigner: mitre

Published:

Updated: 2026-05-12T17:16:58.846Z

Reserved: 2026-03-09T00:00:00.000Z

Link: CVE-2026-31239

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Received

Published: 2026-05-12T18:16:52.320

Modified: 2026-05-12T18:16:52.320

Link: CVE-2026-31239

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

Updated: 2026-05-12T18:30:22Z

Weaknesses