GHSA-GPX5-7XM4-229W
Vulnerability from github – Published: 2026-05-12 18:30 – Updated: 2026-05-18 20:25
VLAI
Summary
Snorkel MultitaskClassifier.load uses an unsafe torch.load
Details
The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the MultitaskClassifier.load() method of the MultitaskClassifier class. The method loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution on the victim's system when the file is loaded via the vulnerable method.
Severity
8.8 (High)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "snorkel"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "0.10.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-31224"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": true,
"github_reviewed_at": "2026-05-18T20:25:02Z",
"nvd_published_at": "2026-05-12T16:16:14Z",
"severity": "HIGH"
},
"details": "The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the MultitaskClassifier.load() method of the MultitaskClassifier class. The method loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution on the victim\u0027s system when the file is loaded via the vulnerable method.",
"id": "GHSA-gpx5-7xm4-229w",
"modified": "2026-05-18T20:25:02Z",
"published": "2026-05-12T18:30:38Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-31224"
},
{
"type": "PACKAGE",
"url": "https://github.com/snorkel-team/snorkel"
},
{
"type": "WEB",
"url": "https://www.notion.so/CVE-2026-31224-35d1e1393188814185f3f6db86c9a4e9"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Snorkel MultitaskClassifier.load uses an unsafe torch.load"
}
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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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