GHSA-V722-58F9-VCJ4

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:

Bluetooth: RFCOMM: validate skb length in MCC handlers

The RFCOMM MCC handlers cast skb->data to protocol-specific structs without validating skb->len first. A malicious remote device can send truncated MCC frames and trigger out-of-bounds reads in these handlers.

Fix this by using skb_pull_data() to validate and access the required data before dereferencing it.

rfcomm_recv_rpn() requires special handling since ETSI TS 07.10 allows 1-byte RPN requests. Handle this by validating only the DLCI byte first, and validating the full struct only when len > 1.

Severity
8.1 (High)
CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
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{
  "affected": [],
  "aliases": [
    "CVE-2026-53254"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-25T09:16:43Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nBluetooth: RFCOMM: validate skb length in MCC handlers\n\nThe RFCOMM MCC handlers cast skb-\u003edata to protocol-specific structs\nwithout validating skb-\u003elen first. A malicious remote device can send\ntruncated MCC frames and trigger out-of-bounds reads in these handlers.\n\nFix this by using skb_pull_data() to validate and access the required\ndata before dereferencing it.\n\nrfcomm_recv_rpn() requires special handling since ETSI TS 07.10 allows\n1-byte RPN requests. Handle this by validating only the DLCI byte first,\nand validating the full struct only when len \u003e 1.",
  "id": "GHSA-v722-58f9-vcj4",
  "modified": "2026-06-28T09:31:46Z",
  "published": "2026-06-25T09:31:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53254"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/08b9c1fbe78f4ad3f6250c6541cfaabdbeb81997"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0d637136ce89f9a2309b2c3502402ce400dab0ef"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/1b070ac9e99c2c2c3a8112943ca98ab6fca7f10c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/23882b828c3c8c51d0c946446a396b10abb3b16b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3eabc6d47a0ad22b053329997aaf0ec1e581e392"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/7c15c7c2878957cbfed93bcc29c13fdace464254"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/98377e6b1a1a56561ec66a181573ea2b61b2079e"
    }
  ],
  "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.

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