GHSA-7XF9-R6GC-X4CM

Vulnerability from github – Published: 2026-07-10 12:31 – Updated: 2026-07-10 12:31
VLAI
Details

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

xfrm: iptfs: preserve shared-frag marker in iptfs_consume_frags()

iptfs_consume_frags() transfers paged fragments from one socket buffer to another but fails to propagate the SKBFL_SHARED_FRAG flag. This is the same class of bug that was fixed in skb_try_coalesce() for CVE-2026-46300: when fragments backed by read-only page-cache pages are merged, the marker indicating their shared nature must be preserved so that ESP can decide correctly whether in-place encryption is safe.

Apply the same two-line fix used in skb_try_coalesce() to iptfs_consume_frags().

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-53363"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-10T12:17:22Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nxfrm: iptfs: preserve shared-frag marker in iptfs_consume_frags()\n\niptfs_consume_frags() transfers paged fragments from one socket buffer\nto another but fails to propagate the SKBFL_SHARED_FRAG flag. This is\nthe same class of bug that was fixed in skb_try_coalesce() for\nCVE-2026-46300: when fragments backed by read-only page-cache pages are\nmerged, the marker indicating their shared nature must be preserved so\nthat ESP can decide correctly whether in-place encryption is safe.\n\nApply the same two-line fix used in skb_try_coalesce() to\niptfs_consume_frags().",
  "id": "GHSA-7xf9-r6gc-x4cm",
  "modified": "2026-07-10T12:31:44Z",
  "published": "2026-07-10T12:31:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53363"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c885d111ed9f5a0a1f3cc4e87a50db6518abaa6c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/dd66f7f6e360ee82cd905517726f8e9091265de5"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e9096a5a170e7ecd6467bc2e08668ec39897cda7"
    }
  ],
  "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.

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