GHSA-J57W-WQMX-67HP

Vulnerability from github – Published: 2026-08-15 06:32 – Updated: 2026-08-17 06:33
VLAI
Details

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

ksmbd: use opener credentials for FSCTL mutations

SET_SPARSE, SET_ZERO_DATA and SET_COMPRESSION operate on an open SMB handle but call VFS xattr, fallocate or fileattr helpers with the current ksmbd worker credentials. Those helpers can revalidate inode permissions, ownership and LSM policy independently of the SMB handle access mask.

Run each operation with the credentials captured in the target file when the handle was opened. Keep credential handling local to these single-file FSCTLs rather than applying session credentials to the complete IOCTL handler, which also contains handle-less and multi-handle operations.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-68457"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-15T06:17:48Z",
    "severity": "CRITICAL"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nksmbd: use opener credentials for FSCTL mutations\n\nSET_SPARSE, SET_ZERO_DATA and SET_COMPRESSION operate on an open SMB\nhandle but call VFS xattr, fallocate or fileattr helpers with the current\nksmbd worker credentials. Those helpers can revalidate inode permissions,\nownership and LSM policy independently of the SMB handle access mask.\n\nRun each operation with the credentials captured in the target file when\nthe handle was opened. Keep credential handling local to these single-file\nFSCTLs rather than applying session credentials to the complete IOCTL\nhandler, which also contains handle-less and multi-handle operations.",
  "id": "GHSA-j57w-wqmx-67hp",
  "modified": "2026-08-17T06:33:02Z",
  "published": "2026-08-15T06:32:06Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68457"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/1e112c47ec5dd1942e2d4ca6e8e9b712238e20c2"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a8c18434e1f0d9f7989170bdb0490c0160baf065"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c6394bcaf254c5baf9aff43376020be5db6d3316"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/cfb2c6f71d61ed807c9d7a7af331d406f1f31877"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e205f3e7e8c31a47cd11efb6cf663a527177e432"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/fb1cae6302d58414ddf029e3f642711bd30243f7"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/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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Nomenclature

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