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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History
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. | |
| References |
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Status: PUBLISHED
Assigner: mitre
Published:
Updated: 2026-05-12T17:16:58.846Z
Reserved: 2026-03-09T00:00:00.000Z
Link: CVE-2026-31239
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Status : Received
Published: 2026-05-12T18:16:52.320
Modified: 2026-05-12T18:16:52.320
Link: CVE-2026-31239
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OpenCVE Enrichment
Updated: 2026-05-12T18:30:22Z
Weaknesses