GHSA-5JGQ-PV8M-5CX7

Vulnerability from github – Published: 2026-02-18 18:30 – Updated: 2026-03-13 21:31
VLAI
Details

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

ksmbd: add chann_lock to protect ksmbd_chann_list xarray

ksmbd_chann_list xarray lacks synchronization, allowing use-after-free in multi-channel sessions (between lookup_chann_list() and ksmbd_chann_del).

Adds rw_semaphore chann_lock to struct ksmbd_session and protects all xa_load/xa_store/xa_erase accesses.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-23226"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-416"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-18T16:22:32Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nksmbd: add chann_lock to protect ksmbd_chann_list xarray\n\nksmbd_chann_list xarray lacks synchronization, allowing use-after-free in\nmulti-channel sessions (between lookup_chann_list() and ksmbd_chann_del).\n\nAdds rw_semaphore chann_lock to struct ksmbd_session and protects\nall xa_load/xa_store/xa_erase accesses.",
  "id": "GHSA-5jgq-pv8m-5cx7",
  "modified": "2026-03-13T21:31:40Z",
  "published": "2026-02-18T18:30:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-23226"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/36ef605c0395b94b826a8c8d6f2697071173de6e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/4c2ca31608521895dd742a43beca4b4d29762345"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/4f3a06cc57976cafa8c6f716646be6c79a99e485"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e4a8a96a93d08570e0405cfd989a8a07e5b6ff33"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/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.

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