Vulnerability from bitnami_vulndb
Published
2026-04-30 08:51
Modified
2026-04-30 09:12
Summary
PyTorch pt2 Loading deserialization
Details

A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might be used. The project was informed of the problem early through a pull request but has not reacted yet.

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{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "pytorch",
        "purl": "pkg:bitnami/pytorch"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.10.0"
            },
            {
              "fixed": "2.11.0"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
          "type": "CVSS_V4"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-4538"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:linuxfoundation:pytorch:*:*:*:*:*:python:*:*"
    ],
    "severity": "Low"
  },
  "details": "A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might be used. The project was informed of the problem early through a pull request but has not reacted yet.",
  "id": "BIT-pytorch-2026-4538",
  "modified": "2026-04-30T09:12:59.139Z",
  "published": "2026-04-30T08:51:30.621Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/pytorch/"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/pytorch/pull/176791"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-4538"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?ctiid.352326"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?id.352326"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?submit.774681"
    }
  ],
  "schema_version": "1.6.2",
  "summary": "PyTorch pt2 Loading deserialization"
}


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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.



Detection rules are retrieved from Rulezet.