GHSA-MHJ7-JJGW-7GMC

Vulnerability from github – Published: 2026-08-15 15:30 – Updated: 2026-08-17 06:33
VLAI
Details

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

netfilter: xt_hashlimit: validate hashtable supports XT_HASHLIMIT_RATE_MATCH

The XT_HASHLIMIT_RATE_MATCH flag mode changes the semantics of the dsthash_ent structure which represents an entry in the hashtable. There is a union area which uses a different layout to express the rate match mode.

Update .checkentry path to validate the XT_HASHLIMIT_RATE_MATCH mode flag is requested by two or more different rules that refer to the same hashtable. Otherwise, uninitialized access to the burst field in the union is possible.

Reject the use of the XT_HASHLIMIT_RATE_MATCH mode flag if set on by revision less than 3 too.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-74564"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-15T13:18:01Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnetfilter: xt_hashlimit: validate hashtable supports XT_HASHLIMIT_RATE_MATCH\n\nThe XT_HASHLIMIT_RATE_MATCH flag mode changes the semantics of the\ndsthash_ent structure which represents an entry in the hashtable.  There\nis a union area which uses a different layout to express the rate match\nmode.\n\nUpdate .checkentry path to validate the XT_HASHLIMIT_RATE_MATCH mode\nflag is requested by two or more different rules that refer to the same\nhashtable. Otherwise, uninitialized access to the burst field in the\nunion is possible.\n\nReject the use of the XT_HASHLIMIT_RATE_MATCH mode flag if set on by\nrevision less than 3 too.",
  "id": "GHSA-mhj7-jjgw-7gmc",
  "modified": "2026-08-17T06:33:54Z",
  "published": "2026-08-15T15:30:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-74564"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/06a76334243ccd875a981aa8bb46c0f931ef1e3b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/24683fea1f06bd3bd2707b99460e859bc6464c22"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/305b63e1402267459fdabb183af4527f6799eebf"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/32ec8d4aba2cf22e12bdc28df8c4bd833c195fc0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d186f77d18bdfb252d401ff992ca3001a6a65a0f"
    }
  ],
  "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:N",
      "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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Detection rules are retrieved from Rulezet.

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