GHSA-Q3JJ-FVXW-R3CF

Vulnerability from github – Published: 2026-08-10 15:33 – Updated: 2026-08-10 15:33
VLAI
Details

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

drm/vc4: Shut down BO cache timer before teardown

The BO cache timer callback schedules time_work, and time_work can rearm the timer through vc4_bo_cache_free_old().

vc4_bo_cache_destroy() deletes the timer and then cancels the work, which does not break that cycle: the work being cancelled can rearm the timer, and the timer then queues work again after teardown.

Use timer_shutdown_sync() instead, so the timer cannot be rearmed and the cycle ends with cancel_work_sync().

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-68233"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-10T13:20:11Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/vc4: Shut down BO cache timer before teardown\n\nThe BO cache timer callback schedules time_work, and time_work can rearm\nthe timer through vc4_bo_cache_free_old().\n\nvc4_bo_cache_destroy() deletes the timer and then cancels the work, which\ndoes not break that cycle: the work being cancelled can rearm the timer,\nand the timer then queues work again after teardown.\n\nUse timer_shutdown_sync() instead, so the timer cannot be rearmed and the\ncycle ends with cancel_work_sync().",
  "id": "GHSA-q3jj-fvxw-r3cf",
  "modified": "2026-08-10T15:33:42Z",
  "published": "2026-08-10T15:33:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68233"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6273dd3ffb54ec581855b82ae77331b66028249c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a38f2724eb93a78ba250b01e0caf3468df4d3956"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bac4c1a9af690b8635c6924872075c41d8763ed9"
    }
  ],
  "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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