GHSA-HW2X-MG9V-QW7C

Vulnerability from github – Published: 2026-09-25 12:31 – Updated: 2026-09-25 12:31
VLAI
Details

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

net/mlx5e: Fix use-after-free race in sample_restore_put()

Concurrent teardown of TC sample rules sharing the same restore context may re-read restore->count after dropping restore_lock. At that point another thread may already have completed cleanup and freed the restore object.

Use the result of the refcount decrement while holding restore_lock to determine whether cleanup is needed.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-98016"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-25T11:17:30Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnet/mlx5e: Fix use-after-free race in sample_restore_put()\n\nConcurrent teardown of TC sample rules sharing the same restore\ncontext may re-read restore-\u003ecount after dropping restore_lock.\nAt that point another thread may already have completed cleanup and\nfreed the restore object.\n\nUse the result of the refcount decrement while holding restore_lock to\ndetermine whether cleanup is needed.",
  "id": "GHSA-hw2x-mg9v-qw7c",
  "modified": "2026-09-25T12:31:33Z",
  "published": "2026-09-25T12:31:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-98016"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/1daecd76ab9e5f055fe3970462410ad1d40bd177"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3efd1a1938cbb33c53b0d75e55b6c0fe2ebad79a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/72324da8eeca269db9196c2a555abf72eb0385c5"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/af3aef0245abbab5e9f6302e7a7d6407187afb71"
    }
  ],
  "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.

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