GHSA-3FXJ-747V-FQFX

Vulnerability from github – Published: 2026-07-01 15:35 – Updated: 2026-07-01 15:35
VLAI
Details

In the Linux kernel, the following vulnerability has been resolved:

drm/virtio: Fix driver removal with disabled KMS

DRM atomic and modesetting aren't initialized if virtio-gpu driver built with disabled KMS, leading to access of uninitialized data on driver removal/unbinding and crashing kernel. Fix it by skipping shutting down atomic core with unavailable KMS.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-53347"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-01T14:16:42Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/virtio: Fix driver removal with disabled KMS\n\nDRM atomic and modesetting aren\u0027t initialized if virtio-gpu driver built\nwith disabled KMS, leading to access of uninitialized data on driver\nremoval/unbinding and crashing kernel. Fix it by skipping shutting down\natomic core with unavailable KMS.",
  "id": "GHSA-3fxj-747v-fqfx",
  "modified": "2026-07-01T15:35:19Z",
  "published": "2026-07-01T15:35:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53347"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/15e561869a8b4e4db69733be1d6f33770664f989"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/19a6a00ff50c284f3a9818882ad2be58b33b790a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/38a5f891cda6d121c149c94cda89c31ec7024ee3"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ed3e134700a2e07caa99b9bc0683ebbe0327c562"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f329e8325e054bd6d84d10904f8dd51137281b92"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}


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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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