GHSA-R5QJ-CVF9-P85H

Vulnerability from github – Published: 2022-03-06 00:00 – Updated: 2024-10-25 20:49
VLAI?
Summary
Code Injection in PyTorch Lightning
Details

PyTorch Lightning version 1.5.10 and prior is vulnerable to code injection. An attacker could execute commands on the target OS running the operating system by setting the PL_TRAINER_GPUS when using the Trainer module. A patch is included in the 1.6.0 release.

Severity ?
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.3 (Critical)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pytorch-lightning"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.6.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-0845"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-94"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-03-07T19:58:34Z",
    "nvd_published_at": "2022-03-05T22:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "PyTorch Lightning version 1.5.10 and prior is vulnerable to code injection. An attacker could execute commands on the target OS running the operating system by setting the `PL_TRAINER_GPUS` when using the `Trainer` module. A [patch](https://github.com/pytorchlightning/pytorch-lightning/commit/8b7a12c52e52a06408e9231647839ddb4665e8ae) is included in the `1.6.0` release.",
  "id": "GHSA-r5qj-cvf9-p85h",
  "modified": "2024-10-25T20:49:59Z",
  "published": "2022-03-06T00:00:16Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-0845"
    },
    {
      "type": "WEB",
      "url": "https://github.com/PyTorchLightning/pytorch-lightning/pull/12212"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorchlightning/pytorch-lightning/commit/8b7a12c52e52a06408e9231647839ddb4665e8ae"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-r5qj-cvf9-p85h"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/pytorch-lightning/PYSEC-2022-181.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorchlightning/pytorch-lightning"
    },
    {
      "type": "WEB",
      "url": "https://huntr.dev/bounties/a795bf93-c91e-4c79-aae8-f7d8bda92e2a"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Code Injection in PyTorch Lightning"
}


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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Detection rules are retrieved from Rulezet.