GHSA-pq2f-x424-6fjm

Suggest an improvement
Source
https://github.com/advisories/GHSA-pq2f-x424-6fjm
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/05/GHSA-pq2f-x424-6fjm/GHSA-pq2f-x424-6fjm.json
JSON Data
https://api.osv.dev/v1/vulns/GHSA-pq2f-x424-6fjm
Aliases
Downstream
Published
2026-05-12T18:30:41Z
Modified
2026-06-29T12:26:10Z
Severity
  • 9.8 (Critical) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H CVSS Calculator
Summary
mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub
Details

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.

Database specific
{
    "cwe_ids":  [
        "CWE-502"
    ],
    "github_reviewed":  true,
    "github_reviewed_at":  "2026-05-27T22:09:56Z",
    "nvd_published_at":  "2026-05-12T18:16:52Z",
    "severity":  "CRITICAL"
}
References

Affected packages

PyPI / mamba-ssm

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0 Unknown introduced version / All previous versions are affected
Last Affected
2.2.6

Affected versions

1.*
1.0.1
1.1.0
1.1.1
1.1.2
1.1.3.post1
1.1.4
1.2.0
1.2.0.post1
1.2.1
1.2.2
2.*
2.0.0
2.0.1
2.0.2
2.0.3
2.0.4
2.1.0
2.2.0
2.2.1
2.2.2
2.2.3.post2
2.2.4
2.2.5

Database specific

source
"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/05/GHSA-pq2f-x424-6fjm/GHSA-pq2f-x424-6fjm.json"