GHSA-FFF5-56XF-G7V8

Vulnerability from github – Published: 2026-05-27 15:33 – Updated: 2026-05-30 12:30
VLAI
Details

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

fs: afs: revert mmap_prepare() change

Partially reverts commit 9d5403b1036c ("fs: convert most other generic_file_*mmap() users to .mmap_prepare()").

This is because the .mmap invocation establishes a refcount, but .mmap_prepare is called at a point where a merge or an allocation failure might happen after the call, which would leak the refcount increment.

Functionality is being added to permit the use of .mmap_prepare in this case, but in the interim, we need to fix this.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-46100"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-27T14:17:31Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nfs: afs: revert mmap_prepare() change\n\nPartially reverts commit 9d5403b1036c (\"fs: convert most other\ngeneric_file_*mmap() users to .mmap_prepare()\").\n\nThis is because the .mmap invocation establishes a refcount, but\n.mmap_prepare is called at a point where a merge or an allocation failure\nmight happen after the call, which would leak the refcount increment.\n\nFunctionality is being added to permit the use of .mmap_prepare in this\ncase, but in the interim, we need to fix this.",
  "id": "GHSA-fff5-56xf-g7v8",
  "modified": "2026-05-30T12:30:24Z",
  "published": "2026-05-27T15:33:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-46100"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/48c7a0eaeea41da17d1d84d2d7a4c40be122b246"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f51f85c044809fbd39ac8ae07ac99bc43ce32bd5"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/fbfc6578eaca12daa0c09df1e9ba7f2c657b49da"
    }
  ],
  "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: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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