PYSEC-2026-406
Vulnerability from pysec - Published: 2026-06-29 11:50 - Updated: 2026-07-01 20:22
VLAI
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.
Severity
9.8 (Critical)
Impacted products
| Name | purl | mamba-ssm | pkg:pypi/mamba-ssm |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "mamba-ssm",
"purl": "pkg:pypi/mamba-ssm"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "2.2.6"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"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",
"2.0.0",
"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"
]
}
],
"aliases": [
"CVE-2026-31239",
"GHSA-pq2f-x424-6fjm"
],
"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\u0027s system in the context of the mamba process.",
"id": "PYSEC-2026-406",
"modified": "2026-07-01T20:22:56.958502Z",
"published": "2026-06-29T11:50:49.341783Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-31239"
},
{
"type": "PACKAGE",
"url": "https://github.com/state-spaces/mamba"
},
{
"type": "WEB",
"url": "https://www.notion.so/CVE-2026-31239-35d1e1393188810d9baedfbd8363f396"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/mamba-ssm"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-pq2f-x424-6fjm"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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