GHSA-466M-2WP7-Q9Q9

Vulnerability from github – Published: 2026-03-25 12:30 – Updated: 2026-04-24 18:30
VLAI
Details

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

crypto: ccp - Fix use-after-free on error path

In the error path of sev_tsm_init_locked(), the code dereferences 't' after it has been freed with kfree(). The pr_err() statement attempts to access t->tio_en and t->tio_init_done after the memory has been released.

Move the pr_err() call before kfree(t) to access the fields while the memory is still valid.

This issue reported by Smatch static analyser

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-23344"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-416"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-03-25T11:16:32Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ncrypto: ccp - Fix use-after-free on error path\n\nIn the error path of sev_tsm_init_locked(), the code dereferences \u0027t\u0027\nafter it has been freed with kfree(). The pr_err() statement attempts\nto access t-\u003etio_en and t-\u003etio_init_done after the memory has been\nreleased.\n\nMove the pr_err() call before kfree(t) to access the fields while the\nmemory is still valid.\n\nThis issue reported by Smatch static analyser",
  "id": "GHSA-466m-2wp7-q9q9",
  "modified": "2026-04-24T18:30:40Z",
  "published": "2026-03-25T12:30:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-23344"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/79a26fe3175b9ed7c0c9541b197cb9786237c0f7"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/889b0e2721e793eb46cf7d17b965aa3252af3ec8"
    }
  ],
  "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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