GHSA-X32J-25W6-P7M4

Vulnerability from github – Published: 2024-05-19 09:34 – Updated: 2025-02-03 18:30
VLAI
Details

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

selinux: avoid dereference of garbage after mount failure

In case kern_mount() fails and returns an error pointer return in the error branch instead of continuing and dereferencing the error pointer.

While on it drop the never read static variable selinuxfs_mount.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-35904"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-19T09:15:11Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nselinux: avoid dereference of garbage after mount failure\n\nIn case kern_mount() fails and returns an error pointer return in the\nerror branch instead of continuing and dereferencing the error pointer.\n\nWhile on it drop the never read static variable selinuxfs_mount.",
  "id": "GHSA-x32j-25w6-p7m4",
  "modified": "2025-02-03T18:30:36Z",
  "published": "2024-05-19T09:34:47Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-35904"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/37801a36b4d68892ce807264f784d818f8d0d39b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/477ed6789eb9f3f4d3568bb977f90c863c12724e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/68784a5d01b8868ff85a7926676b6729715fff3c"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2024/05/30/1"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2024/05/30/2"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/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.

Sightings

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Nomenclature

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