GHSA-P757-FG2X-77H8

Vulnerability from github – Published: 2026-07-25 12:31 – Updated: 2026-07-25 12:31
VLAI
Details

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

USB: legousbtower: fix use-after-free on disconnect race

mutex_unlock() may access the mutex structure after releasing the lock and therefore cannot be used to manage lifetime of objects directly (unlike spinlocks and refcounts). [1][2]

Use a kref to release the driver data to avoid use-after-free in mutex_unlock() when release() races with disconnect().

[1] a51749ab34d9 ("locking/mutex: Document that mutex_unlock() is non-atomic") [2] 2b9d9e0a9ba0 ("locking/mutex: Clarify that mutex_unlock(), and most other sleeping locks, can still use the lock object after it's unlocked")

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{
  "affected": [],
  "aliases": [
    "CVE-2026-64340"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-25T10:17:15Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nUSB: legousbtower: fix use-after-free on disconnect race\n\nmutex_unlock() may access the mutex structure after releasing the lock\nand therefore cannot be used to manage lifetime of objects directly\n(unlike spinlocks and refcounts). [1][2]\n\nUse a kref to release the driver data to avoid use-after-free in\nmutex_unlock() when release() races with disconnect().\n\n[1] a51749ab34d9 (\"locking/mutex: Document that mutex_unlock() is\n                   non-atomic\")\n[2] 2b9d9e0a9ba0 (\"locking/mutex: Clarify that mutex_unlock(), and most\n                   other sleeping locks, can still use the lock object\n                   after it\u0027s unlocked\")",
  "id": "GHSA-p757-fg2x-77h8",
  "modified": "2026-07-25T12:31:32Z",
  "published": "2026-07-25T12:31:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-64340"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0b57e5ddbd89df3bc367463de3d2ca66f99a1a5e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/11d069f85851997b4ea0adf242ed9672dc749b8f"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/62fc8eb1b1481051f7bab4aa93d79809053dd09f"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6462de75d2e370c7e74dcfb7b4ae79eb5a6a55ee"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/766738ecf2b819e54d38763c8d1c8ae6cff14b39"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9ba62966461a8e3cc593b62c56ec62eb2d80436d"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ab2bfd7bec4f134b377ec42f513e90c35db94160"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/b4222c05066b252b451f9c8c4730b5b60824ea66"
    }
  ],
  "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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