GHSA-M9MP-6X32-5RHG

Vulnerability from github – Published: 2025-10-09 14:22 – Updated: 2025-10-09 14:22
VLAI
Summary
scio is vunerable to Remote Command Execution through PyTorch
Details

Impact

PyTorch reported a critical vulnerability when using torch.load, even with option weights_only=True, for torch <= 2.5.1.

In scio <= 1.0.0, the lower bound for torch is 2.3.

Patches

The lower bound was changed to torch >= 2.6, starting from scio >= 1.0.1 (currently in dev state).

Workarounds

You can manually check that you are using torch >= 2.6.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "scio-pypi"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "1.0.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-10-09T14:22:00Z",
    "nvd_published_at": null,
    "severity": "CRITICAL"
  },
  "details": "### Impact\nPyTorch reported a [**critical** vulnerability](https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6) when using `torch.load`, even with option `weights_only=True`, for `torch \u003c= 2.5.1`.\n\nIn `scio \u003c= 1.0.0`, the lower bound for `torch` is `2.3`.\n\n### Patches\nThe lower bound was changed to `torch \u003e= 2.6`, starting from `scio \u003e= 1.0.1` (currently in dev state).\n\n### Workarounds\nYou can manually check that you are using `torch \u003e= 2.6`.",
  "id": "GHSA-m9mp-6x32-5rhg",
  "modified": "2025-10-09T14:22:00Z",
  "published": "2025-10-09T14:22:00Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/ThalesGroup/scio/security/advisories/GHSA-m9mp-6x32-5rhg"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/ThalesGroup/scio"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "scio is vunerable to  Remote Command Execution  through PyTorch"
}



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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

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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