GHSA-JMM4-CRVJ-M7GX

Vulnerability from github – Published: 2026-05-08 15:31 – Updated: 2026-05-20 18:31
VLAI
Details

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

usb: class: cdc-wdm: fix reordering issue in read code path

Quoting the bug report:

Due to compiler optimization or CPU out-of-order execution, the desc->length update can be reordered before the memmove. If this happens, wdm_read() can see the new length and call copy_to_user() on uninitialized memory. This also violates LKMM data race rules [1].

Fix it by using WRITE_ONCE and memory barriers.

Severity
7.1 (High)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
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{
  "affected": [],
  "aliases": [
    "CVE-2026-43427"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-08T15:16:54Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nusb: class: cdc-wdm: fix reordering issue in read code path\n\nQuoting the bug report:\n\nDue to compiler optimization or CPU out-of-order execution, the\ndesc-\u003elength update can be reordered before the memmove. If this\nhappens, wdm_read() can see the new length and call copy_to_user() on\nuninitialized memory. This also violates LKMM data race rules [1].\n\nFix it by using WRITE_ONCE and memory barriers.",
  "id": "GHSA-jmm4-crvj-m7gx",
  "modified": "2026-05-20T18:31:30Z",
  "published": "2026-05-08T15:31:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-43427"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/170e8daca24da6edb4be82ab01abf44e87af387b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/276aef0fd2b92f41b920ac891c72cadeee957934"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/4ee3062bf2c9a722afef429826e8607eaf3fc6a0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/638328ca9c17ae6511ad62198c57bae32ffa3c91"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/67ed312124bb1b61858778ac0b985b48961c862a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8df672bfe3ec2268c2636584202755898e547173"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c8fa96ed021923dae147bcd9f9205b8df7b82360"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e3c874b05901dc519054b5107d16620e6d2b5fea"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/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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Detection rules are retrieved from Rulezet.