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GHSA-28CJ-V8RJ-MQ63

Vulnerability from github – Published: 2026-08-27 06:31 – Updated: 2026-08-27 06:31
VLAI
Details

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

fbdev: bound mode sysfs output to the sysfs buffer

mode_string() uses snprintf() which can return a value larger than the remaining buffer space. show_modes() accumulates the return value into i without checking whether i has reached PAGE_SIZE, causing the offset to advance past the sysfs buffer if the modelist is long enough.

Add a size parameter to mode_string() and use scnprintf() to return only the bytes actually written. Add an early return when offset already exceeds the buffer. In show_modes(), stop accumulating once the buffer is full.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-80580"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-26T15:17:14Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nfbdev: bound mode sysfs output to the sysfs buffer\n\nmode_string() uses snprintf() which can return a value larger than the\nremaining buffer space. show_modes() accumulates the return value into i\nwithout checking whether i has reached PAGE_SIZE, causing the offset to\nadvance past the sysfs buffer if the modelist is long enough.\n\nAdd a size parameter to mode_string() and use scnprintf() to return\nonly the bytes actually written. Add an early return when offset\nalready exceeds the buffer. In show_modes(), stop accumulating once\nthe buffer is full.",
  "id": "GHSA-28cj-v8rj-mq63",
  "modified": "2026-08-27T06:31:33Z",
  "published": "2026-08-27T06:31:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80580"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/873a1aa15c313263f2e18b38cf525623cc4fabf6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d15d51fb26e830af58f3f21964f1c09c239077ea"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/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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