GHSA-VFVP-R4J5-4Q92

Vulnerability from github – Published: 2026-05-27 15:33 – Updated: 2026-05-27 15:33
VLAI
Details

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

net: caif: clear client service pointer on teardown

caif_connect() can tear down an existing client after remote shutdown by calling caif_disconnect_client() followed by caif_free_client(). caif_free_client() releases the service layer referenced by adap_layer->dn, but leaves that pointer stale.

When the socket is later destroyed, caif_sock_destructor() calls caif_free_client() again and dereferences the freed service pointer.

Clear the client/service links before releasing the service object so repeated teardown becomes harmless.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-46098"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-27T14:17:31Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnet: caif: clear client service pointer on teardown\n\n`caif_connect()` can tear down an existing client after remote shutdown by\ncalling `caif_disconnect_client()` followed by `caif_free_client()`.\n`caif_free_client()` releases the service layer referenced by\n`adap_layer-\u003edn`, but leaves that pointer stale.\n\nWhen the socket is later destroyed, `caif_sock_destructor()` calls\n`caif_free_client()` again and dereferences the freed service pointer.\n\nClear the client/service links before releasing the service object so\nrepeated teardown becomes harmless.",
  "id": "GHSA-vfvp-r4j5-4q92",
  "modified": "2026-05-27T15:33:24Z",
  "published": "2026-05-27T15:33:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-46098"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3ac6db584d9d420267bb8413115707eeec76d9cf"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/63d21a3aa0108b9dde4e99b0d3d5d679ac68c0f9"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/914c6456fcfc21a3d553945dff62fd1621d6155d"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a4b191ddc12c55ddb62feb096536f819f384d6f1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f7cf8ece8cee3c1ee361991470cdb1eb65ab02e8"
    }
  ],
  "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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