PYSEC-2026-3624

Vulnerability from pysec - Published: 2026-07-15 18:16 - Updated: 2026-08-07 09:08
VLAI
Details

PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the _load_state function that imports and executes attacker-controlled module names from checkpoint _instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass weights_only=True protections to execute arbitrary code when LightningModule.load_from_checkpoint is called.

Impacted products
Name purl
lightning pkg:pypi/lightning
Aliases

{
  "affected": [
    {
      "ecosystem_specific": {},
      "package": {
        "ecosystem": "PyPI",
        "name": "lightning",
        "purl": "pkg:pypi/lightning"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2022.6.15"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.8.0",
        "1.8.0.post1",
        "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",
        "2.3.0.dev20240318",
        "2.3.0.dev20240324",
        "2.3.0.dev20240328",
        "2.3.0.dev20240331",
        "2.3.0.dev20240407",
        "2.3.0.dev20240414",
        "2.3.0.dev20240421",
        "2.3.0.dev20240428",
        "2.3.0.dev20240505",
        "2.3.0.dev20240519",
        "2.3.0.dev20240526",
        "2.3.0.dev20240602",
        "2.3.0.dev20240609",
        "2.3.0.dev20240616",
        "2.3.0.dev20240623",
        "2.3.1",
        "2.3.2",
        "2.3.3",
        "2.4.0",
        "2.4.0.dev20240630",
        "2.4.0.dev20240707",
        "2.4.0.dev20240714",
        "2.4.0.dev20240721",
        "2.4.0.dev20240728",
        "2.4.0.dev20240804",
        "2.4.0.dev20240811",
        "2.4.0.dev20240818",
        "2.4.0.dev20240825",
        "2.4.0.dev20240901",
        "2.4.0.dev20240908",
        "2.4.0.dev20240915",
        "2.4.0.dev20240922",
        "2.4.0.dev20240929",
        "2.4.0.dev20241006",
        "2.4.0.dev20241013",
        "2.4.0.dev20241020",
        "2.5.0",
        "2.5.0.dev20241027",
        "2.5.0.dev20241103",
        "2.5.0.dev20241110",
        "2.5.0.dev20241117",
        "2.5.0.dev20241124",
        "2.5.0.dev20241201",
        "2.5.0.dev20241208",
        "2.5.0.dev20241215",
        "2.5.0.dev20241222",
        "2.5.0.dev20241229",
        "2.5.0.dev20250105",
        "2.5.0.dev20250112",
        "2.5.0.dev20250119",
        "2.5.0.dev20250126",
        "2.5.0.dev20250202",
        "2.5.0.dev20250209",
        "2.5.0.dev20250216",
        "2.5.0.dev20250223",
        "2.5.0.dev20250302",
        "2.5.0.dev20250309",
        "2.5.0.dev20250316",
        "2.5.0.post0",
        "2.5.0rc0",
        "2.5.1",
        "2.5.1.dev20250323",
        "2.5.1.dev20250330",
        "2.5.1.dev20250406",
        "2.5.1.dev20250413",
        "2.5.1.dev20250420",
        "2.5.1.dev20250427",
        "2.5.1.dev20250504",
        "2.5.1.dev20250511",
        "2.5.1.dev20250518",
        "2.5.1.dev20250525",
        "2.5.1.dev20250601",
        "2.5.1.dev20250608",
        "2.5.1.dev20250615",
        "2.5.1.dev20250622",
        "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",
        "2.6.0.dev20250629",
        "2.6.0.dev20250706",
        "2.6.0.dev20250713",
        "2.6.0.dev20250720",
        "2.6.0.dev20250727",
        "2.6.0.dev20250803",
        "2.6.0.dev20250810",
        "2.6.0.dev20250817",
        "2.6.0.dev20250824",
        "2.6.0.dev20250831",
        "2.6.0.dev20250914",
        "2.6.0.dev20250921",
        "2.6.0.dev20250928",
        "2.6.0.dev20251005",
        "2.6.0.dev20251012",
        "2.6.0.dev20251019",
        "2.6.0.dev20251026",
        "2.6.0.dev20251102",
        "2.6.0.dev20251109",
        "2.6.0.dev20251116",
        "2.6.0.dev20251123",
        "2.6.0.dev20251130",
        "2.6.0.dev20251207",
        "2.6.0.dev20251214",
        "2.6.0.dev20251221",
        "2.6.0.dev20251228",
        "2.6.0.dev20260104",
        "2.6.0.dev20260111",
        "2.6.0.dev20260118",
        "2.6.0.dev20260125",
        "2.6.1",
        "2.6.1.dev20260201",
        "2.6.4",
        "2.6.5"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-58659"
  ],
  "details": "PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the _load_state function that imports and executes attacker-controlled module names from checkpoint _instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass weights_only=True protections to execute arbitrary code when LightningModule.load_from_checkpoint is called.",
  "id": "PYSEC-2026-3624",
  "modified": "2026-08-07T09:08:04.834348Z",
  "published": "2026-07-15T18:16:48.743Z",
  "references": [
    {
      "type": "REPORT",
      "url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21822"
    },
    {
      "type": "FIX",
      "url": "https://github.com/Lightning-AI/pytorch-lightning/commit/d710d689510d50e800f53b3cd773cbca20b1f86f"
    },
    {
      "type": "FIX",
      "url": "https://github.com/Lightning-AI/pytorch-lightning/pull/21832"
    },
    {
      "type": "FIX",
      "url": "https://www.vulncheck.com/advisories/pytorch-lightning-arbitrary-code-execution-via-instantiator-hyperparameter"
    }
  ],
  "severity": [
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/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"
    }
  ]
}



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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.
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  • 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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