fkie_cve-2025-46150
Vulnerability from fkie_nvd
Published
2025-09-25 15:16
Modified
2025-10-03 17:58
Severity ?
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Summary
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248aThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/141538Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/141538#issuecomment-2537424658Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/pull/144395Issue Tracking, Patch
Impacted products
Vendor Product Version
linuxfoundation pytorch *


To clipboard 

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:linuxfoundation:pytorch:*:*:*:*:*:python:*:*",
              "matchCriteriaId": "0513F0E6-3136-46DB-96C3-47E800609637",
              "versionEndExcluding": "2.7.0",
              "versionStartIncluding": "2.6.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results."
    }
  ],
  "id": "CVE-2025-46150",
  "lastModified": "2025-10-03T17:58:05.150",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 5.3,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 1.4,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ]
  },
  "published": "2025-09-25T15:16:12.303",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Issue Tracking"
      ],
      "url": "https://github.com/pytorch/pytorch/issues/141538"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Issue Tracking"
      ],
      "url": "https://github.com/pytorch/pytorch/issues/141538#issuecomment-2537424658"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Issue Tracking",
        "Patch"
      ],
      "url": "https://github.com/pytorch/pytorch/pull/144395"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-noinfo"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}


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