ghsa-fmhh-rw3h-785m
Vulnerability from github
Published
2025-04-09 12:57
Modified
2025-04-09 12:57
Severity ?
6.9 (Medium) - CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
Summary
bep/imagemeta allows a potentially large memory allocation in PNG and WebP parsing
Details

Impact

The buffer created for parsing metadata for PNG and WebP images was only bounded by their input data type, which could lead to potentially large memory allocation, and unreasonably high for image metadata. Before v0.11.0, If you didn't trust the input images, this could be abused to construct denial-of-service attacks.

Patches

v0.11.0 added a 10 MB upper limit.

Show details on source website

To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/bep/imagemeta"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.11.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-32025"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-770"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-04-09T12:57:56Z",
    "nvd_published_at": "2025-04-08T16:15:27Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\n\nThe buffer created for parsing metadata for PNG and WebP images was only bounded by their input data type, which could lead to potentially large memory allocation, and unreasonably high for image metadata. Before `v0.11.0`, If you didn\u0027t trust the input images, this could be abused to construct denial-of-service attacks.\n\n### Patches\n\n`v0.11.0` added a 10 MB upper limit.",
  "id": "GHSA-fmhh-rw3h-785m",
  "modified": "2025-04-09T12:57:56Z",
  "published": "2025-04-09T12:57:56Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/bep/imagemeta/security/advisories/GHSA-fmhh-rw3h-785m"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-32025"
    },
    {
      "type": "WEB",
      "url": "https://github.com/bep/imagemeta/commit/ee0de9b029f4e82106729f69559f27c9a404229d"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/bep/imagemeta"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/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"
    }
  ],
  "summary": "bep/imagemeta allows a potentially large memory allocation in PNG and WebP parsing"
}


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