PT-2026-53489 · Pypi · Mamba-Ssm

Published 2026-06-29 · Updated 2026-06-29

OSV

CVSS v3.1

9.8

Critical

Base vector

AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

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.

Fix

Related Identifiers

PYSEC-2026-406

Affected Products

Mamba-Ssm

References · 6

• https://osv.dev/vulnerability/PYSEC-2026-406 · Vendor Advisory
• https://nvd.nist.gov/vuln/detail/CVE-2026-31239 · Security Note
• https://github.com/state-spaces/mamba · Note
• https://github.com/advisories/GHSA-pq2f-x424-6fjm · Note
• https://pypi.org/project/mamba-ssm · Note
• https://notion.so/CVE-2026-31239-35d1e1393188810d9baedfbd8363f396 · Note