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.

Show details on source website

{
  "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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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

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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