Vulnérabilités / CVE-2026-31239

critique

CVE-2026-31239

mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub

Publiée Modifiée CWE 502
Dans la Trivy database depuis au moins le 24 oct. 2026, 07:11 UTCLa date d'entrée avant ce build n'est pas enregistrée.

Sévérité par source

GHSA9.8CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Le label propre à Trivy est CRITICAL. Critique selon GHSA.

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.

Paquets affectés et versions corrigées

SourcePaquetCorrigé en
pip::GitHub Security Advisory pipmamba-ssmpas de correctif indiqué

Références

Vulnerability data compiled from the Trivy vulnerability database (trivy-db, Aqua Security, Apache License 2.0), which aggregates third-party advisories. CVE records are published by The MITRE Corporation under the CVE Terms of Use; CVE is a trademark of MITRE. This product uses data from the NVD API but is not endorsed or certified by the NVD. Severity, titles and advisory data from the GitHub Advisory Database (CC BY 4.0), Red Hat security data (CC BY 4.0) and the other sources linked on each entry. Entries may be summarised or re-formatted; the linked original is the authoritative record.