PYSEC-2026-3043

Vulnerability from pysec - Published: 2026-07-13 15:15 - Updated: 2026-07-13 16:06
VLAI
Details

PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoint loading mechanism. The LightningModule.load_from_checkpoint() method, which is commonly used to load saved model states, internally calls torch.load() without setting 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 checkpoint file, leading to arbitrary code execution on the victim's system when the file is loaded.

Impacted products
Name purl
pytorch-lightning pkg:pypi/pytorch-lightning

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pytorch-lightning",
        "purl": "pkg:pypi/pytorch-lightning"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "2.6.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.2",
        "0.10.0",
        "0.2",
        "0.2.2",
        "0.2.3",
        "0.2.4",
        "0.2.4.1",
        "0.2.5",
        "0.2.5.1",
        "0.2.5.2",
        "0.2.6",
        "0.3",
        "0.3.1",
        "0.3.2",
        "0.3.3",
        "0.3.4",
        "0.3.4.1",
        "0.3.5",
        "0.3.6",
        "0.3.6.1",
        "0.3.6.3",
        "0.3.6.4",
        "0.3.6.5",
        "0.3.6.6",
        "0.3.6.7",
        "0.3.6.8",
        "0.3.6.9",
        "0.4.0",
        "0.4.1",
        "0.4.2",
        "0.4.3",
        "0.4.4",
        "0.4.5",
        "0.4.6",
        "0.4.7",
        "0.4.8",
        "0.4.9",
        "0.5.0",
        "0.5.1",
        "0.5.1.2",
        "0.5.1.3",
        "0.5.2",
        "0.5.2.1",
        "0.5.3",
        "0.5.3.1",
        "0.5.3.2",
        "0.5.3.3",
        "0.6.0",
        "0.7.1",
        "0.7.3",
        "0.7.5",
        "0.7.6",
        "0.8.1",
        "0.8.3",
        "0.8.4",
        "0.8.5",
        "0.9.0",
        "1.0.0",
        "1.0.1",
        "1.0.2",
        "1.0.3",
        "1.0.4",
        "1.0.5",
        "1.0.6",
        "1.0.7",
        "1.0.8",
        "1.1.0",
        "1.1.1",
        "1.1.2",
        "1.1.3",
        "1.1.4",
        "1.1.5",
        "1.1.6",
        "1.1.7",
        "1.1.8",
        "1.2.0",
        "1.2.0rc0",
        "1.2.0rc1",
        "1.2.0rc2",
        "1.2.1",
        "1.2.10",
        "1.2.2",
        "1.2.3",
        "1.2.4",
        "1.2.5",
        "1.2.6",
        "1.2.7",
        "1.2.8",
        "1.2.9",
        "1.3.0",
        "1.3.0rc1",
        "1.3.0rc2",
        "1.3.0rc3",
        "1.3.1",
        "1.3.2",
        "1.3.3",
        "1.3.4",
        "1.3.5",
        "1.3.6",
        "1.3.7",
        "1.3.7.post0",
        "1.3.8",
        "1.4.0",
        "1.4.0rc0",
        "1.4.0rc1",
        "1.4.0rc2",
        "1.4.1",
        "1.4.2",
        "1.4.3",
        "1.4.4",
        "1.4.5",
        "1.4.6",
        "1.4.7",
        "1.4.8",
        "1.4.9",
        "1.5.0",
        "1.5.0rc0",
        "1.5.0rc1",
        "1.5.1",
        "1.5.10",
        "1.5.10.post0",
        "1.5.2",
        "1.5.3",
        "1.5.4",
        "1.5.5",
        "1.5.6",
        "1.5.7",
        "1.5.8",
        "1.5.9",
        "1.6.0",
        "1.6.0rc0",
        "1.6.0rc1",
        "1.6.1",
        "1.6.2",
        "1.6.3",
        "1.6.4",
        "1.6.5",
        "1.6.5.post0",
        "1.7.0",
        "1.7.0rc0",
        "1.7.0rc1",
        "1.7.1",
        "1.7.2",
        "1.7.3",
        "1.7.4",
        "1.7.5",
        "1.7.6",
        "1.7.7",
        "1.8.0",
        "1.8.0.post1",
        "1.8.0rc0",
        "1.8.0rc1",
        "1.8.0rc2",
        "1.8.1",
        "1.8.2",
        "1.8.3",
        "1.8.3.post0",
        "1.8.3.post1",
        "1.8.3.post2",
        "1.8.4",
        "1.8.4.post0",
        "1.8.5",
        "1.8.5.post0",
        "1.8.6",
        "1.9.0",
        "1.9.0rc0",
        "1.9.1",
        "1.9.2",
        "1.9.3",
        "1.9.4",
        "1.9.5",
        "2.0.0",
        "2.0.0rc0",
        "2.0.1",
        "2.0.1.post0",
        "2.0.2",
        "2.0.3",
        "2.0.4",
        "2.0.5",
        "2.0.6",
        "2.0.7",
        "2.0.8",
        "2.0.9",
        "2.0.9.post0",
        "2.1.0",
        "2.1.0rc0",
        "2.1.0rc1",
        "2.1.1",
        "2.1.2",
        "2.1.3",
        "2.1.4",
        "2.2.0",
        "2.2.0.post0",
        "2.2.0rc0",
        "2.2.1",
        "2.2.2",
        "2.2.3",
        "2.2.4",
        "2.2.5",
        "2.3.0",
        "2.3.1",
        "2.3.2",
        "2.3.3",
        "2.4.0",
        "2.5.0",
        "2.5.0.post0",
        "2.5.0rc0",
        "2.5.1",
        "2.5.1.post0",
        "2.5.1rc0",
        "2.5.1rc1",
        "2.5.1rc2",
        "2.5.2",
        "2.5.3",
        "2.5.4",
        "2.5.5",
        "2.5.6",
        "2.6.0",
        "2.6.0.dev0"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-31221",
    "GHSA-75m9-98v2-hjpm"
  ],
  "details": "PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoint loading mechanism. The LightningModule.load_from_checkpoint() method, which is commonly used to load saved model states, internally calls torch.load() without setting 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 checkpoint file, leading to arbitrary code execution on the victim\u0027s system when the file is loaded.",
  "id": "PYSEC-2026-3043",
  "modified": "2026-07-13T16:06:06.054008Z",
  "published": "2026-07-13T15:15:45.859175Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-31221"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Lightning-AI/pytorch-lightning"
    },
    {
      "type": "WEB",
      "url": "https://www.notion.so/CVE-2026-31221-35d1e1393188815f8db7c4fd08076639"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/pytorch-lightning"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-75m9-98v2-hjpm"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "PyTorch Lightning load_from_checkpoint has an insecure checkpoint deserialization"
}



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