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GHSA-FPM7-VPJM-5GG2

Vulnerability from github – Published: 2026-04-09 15:35 – Updated: 2026-04-14 18:30
VLAI
Details

A heap buffer overflow vulnerability exists in the PAM image parsing logic. When Orthanc processes a crafted PAM image embedded in a DICOM file, image dimensions are multiplied using 32-bit unsigned arithmetic. Specially chosen values can cause an integer overflow during buffer size calculation, resulting in the allocation of a small buffer followed by a much larger write operation during pixel processing.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-5444"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-04-09T15:16:16Z",
    "severity": "HIGH"
  },
  "details": "A heap buffer overflow vulnerability exists in the PAM image parsing logic. When Orthanc processes a crafted PAM image embedded in a DICOM file, image dimensions are multiplied using 32-bit unsigned arithmetic. Specially chosen values can cause an integer overflow during buffer size calculation, resulting in the allocation of a small buffer followed by a much larger write operation during pixel processing.",
  "id": "GHSA-fpm7-vpjm-5gg2",
  "modified": "2026-04-14T18:30:32Z",
  "published": "2026-04-09T15:35:08Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-5444"
    },
    {
      "type": "WEB",
      "url": "https://kb.cert.org/vuls/id/536588"
    },
    {
      "type": "WEB",
      "url": "https://www.machinespirits.de"
    },
    {
      "type": "WEB",
      "url": "https://www.orthanc-server.com"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}



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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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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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