GHSA-XHGH-4JHQ-CHJ3

Vulnerability from github – Published: 2026-07-23 18:31 – Updated: 2026-07-23 18:31
VLAI
Details

PyTorch torchvision through 0.28.0, fixed in commit 4e05dc2, contains an out-of-bounds heap read vulnerability in the GIF decoder's read_from_tensor callback that passes unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to cause denial of service via segmentation fault or disclose adjacent heap memory contents.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-65918"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-23T18:17:02Z",
    "severity": "HIGH"
  },
  "details": "PyTorch torchvision through 0.28.0, fixed in commit 4e05dc2, contains an out-of-bounds heap read vulnerability in the GIF decoder\u0027s read_from_tensor callback that passes unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to cause denial of service via segmentation fault or disclose adjacent heap memory contents.",
  "id": "GHSA-xhgh-4jhq-chj3",
  "modified": "2026-07-23T18:31:46Z",
  "published": "2026-07-23T18:31:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-65918"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/vision/issues/9551"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/vision/pull/9520"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/vision/commit/4e05dc22f5f050a9528cc0ea09ceca6cdaf8f4ed"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/pytorch-torchvision-gif-decoder-out-of-bounds-heap-read"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:N/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

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Nomenclature

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