GHSA-MMP6-QMXW-FP3C

Vulnerability from github – Published: 2026-07-19 18:31 – Updated: 2026-07-19 18:31
VLAI
Details

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

USB: serial: omninet: fix memory corruption with small endpoint

Make sure that the bulk-out buffers are at least as large as the hardcoded transfer size to avoid user-controlled slab corruption should a malicious device report a smaller endpoint max packet size than expected.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-63928"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-19T16:17:11Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nUSB: serial: omninet: fix memory corruption with small endpoint\n\nMake sure that the bulk-out buffers are at least as large as the\nhardcoded transfer size to avoid user-controlled slab corruption should\na malicious device report a smaller endpoint max packet size than\nexpected.",
  "id": "GHSA-mmp6-qmxw-fp3c",
  "modified": "2026-07-19T18:31:46Z",
  "published": "2026-07-19T18:31:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-63928"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0bda1893e4cc4ad2b7dcdbaca246f2af688c6c2a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0fee0ccac29e088d4bfab7e2d075725dcecd803d"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/180996f0ca774001944e4afa452d569ba2f6455c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/4e7d32189d6219beb7db37cd0ea36b6bac7dfedb"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/60df93d30f9bdd27db17c4d80ed80ef718d7226b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9a3860454bdfb765f936965e975c594352602ffc"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/b496e25ead5976bce2891dacaed09beb53a54f9f"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f34cf2928387fba01a78381f3258c7e1428897d9"
    }
  ],
  "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.

Sightings

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Nomenclature

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