GHSA-3F4P-8QJ7-5FXP

Vulnerability from github – Published: 2025-02-27 21:32 – Updated: 2026-09-07 18:31
VLAI
Details

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

block: mark GFP_NOIO around sysfs ->store()

sysfs ->store is called with queue freezed, meantime we have several ->store() callbacks(update_nr_requests, wbt, scheduler) to allocate memory with GFP_KERNEL which may run into direct reclaim code path, then potential deadlock can be caused.

Fix the issue by marking NOIO around sysfs ->store()

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-21817"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-667"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-02-27T20:16:04Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nblock: mark GFP_NOIO around sysfs -\u003estore()\n\nsysfs -\u003estore is called with queue freezed, meantime we have several\n-\u003estore() callbacks(update_nr_requests, wbt, scheduler) to allocate\nmemory with GFP_KERNEL which may run into direct reclaim code path,\nthen potential deadlock can be caused.\n\nFix the issue by marking NOIO around sysfs -\u003estore()",
  "id": "GHSA-3f4p-8qj7-5fxp",
  "modified": "2026-09-07T18:31:30Z",
  "published": "2025-02-27T21:32:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-21817"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2566ce907e5d5db8a039647208e029ce559baa31"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/7c0be4ead1f8f5f8be0803f347de0de81e3b8e1c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a09280c39ea54080daf19cfaf4a3121a8d17d5cd"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/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.

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