GHSA-VRFR-CW9W-GWRX

Vulnerability from github – Published: 2026-06-25 09:31 – Updated: 2026-06-28 09:31
VLAI
Details

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

thunderbolt: Validate XDomain request packet size before type cast

tb_xdp_handle_request() casts the received packet buffer to protocol-specific structs without verifying that the allocation is large enough for the target type. A peer can send a minimal XDomain packet that passes the generic header length check but is shorter than the struct accessed after the cast, causing out-of- bounds reads from the kmemdup allocation.

Plumb the packet length through xdomain_request_work and validate it against the expected struct size before each cast.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-53147"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-25T09:16:32Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nthunderbolt: Validate XDomain request packet size before type cast\n\ntb_xdp_handle_request() casts the received packet buffer to\nprotocol-specific structs without verifying that the allocation\nis large enough for the target type.  A peer can send a minimal\nXDomain packet that passes the generic header length check but is\nshorter than the struct accessed after the cast, causing out-of-\nbounds reads from the kmemdup allocation.\n\nPlumb the packet length through xdomain_request_work and validate\nit against the expected struct size before each cast.",
  "id": "GHSA-vrfr-cw9w-gwrx",
  "modified": "2026-06-28T09:31:42Z",
  "published": "2026-06-25T09:31:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53147"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/07cd2787cdf8942d24a1a3ef81aa89b526fb6381"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0dd61ba03d05187726ecdf9c0e2175a81b9b24f6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/46da5c3ea011e884028a91cf913db093920a915b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/79235c8add5da4bf27a12f5a5dbb579f300c059e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a504b9f2797b739e0304d537e8aa4ce883ecce39"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a770e62923090d7572f1f5a8507ae551d354a057"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/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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