GHSA-7QJR-5MR5-8M2Q

Vulnerability from github – Published: 2026-08-28 09:31 – Updated: 2026-08-28 09:31
VLAI
Details

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

can: j1939: transport: j1939_session_fresh_new(): initialize receive buffer

Zero the allocated buffer in j1939_session_fresh_new() to ensure it contains no residual data.

While there is a potential performance impact if users allocate maximum sized ETP buffers, most real-world use cases are not noticeably affected since the maximum known buffer size is typically around 65K.

[mkl: add Message-ID]

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-80707"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-28T08:16:56Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ncan: j1939: transport: j1939_session_fresh_new(): initialize receive buffer\n\nZero the allocated buffer in j1939_session_fresh_new() to ensure it\ncontains no residual data.\n\nWhile there is a potential performance impact if users allocate maximum\nsized ETP buffers, most real-world use cases are not noticeably affected\nsince the maximum known buffer size is typically around 65K.\n\n[mkl: add Message-ID]",
  "id": "GHSA-7qjr-5mr5-8m2q",
  "modified": "2026-08-28T09:31:50Z",
  "published": "2026-08-28T09:31:50Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80707"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/038bad8e16c2e28acf31f0b527a816fb23a57269"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/194d67e92197eb820f4c2c6605d9721333b3eba0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/348818277a3646d5b9fa60c9d20c00dc4bc86832"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8604a3b81b9d0ceaf04fee5f52e701f623a179f9"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bbfa49d1e287de44994955b44d19281be3195b44"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d5b3613c7d69d8dcb4dd6704f1f463198ce9f6cf"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/eb96c58907922546e415e545fe9a14ea63b02719"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f3e120a34b336079479fa10f706f0636eaa6e751"
    }
  ],
  "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.

Sightings

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Nomenclature

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