GHSA-VG7Q-4FVQ-5G86

Vulnerability from github – Published: 2026-09-16 12:30 – Updated: 2026-09-16 15:30
VLAI
Details

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

drm/amdgpu/vcn: fix integer overflow in dec_msg buffer count check

If the supplied msg[2] (num_buffers) is 0x3FFFFFFF, the expression 6 + num_buffers * 4 wraps to 2 and the bounds check passes, letting the parser loop far past the end of the message BO. Triggering it additionally requires a ~4GiB mapping so that msg[1] survives the earlier "header does not fit in BO" check.

Rewrite the test in division form, which is overflow-free by construction. Also update the message to reflect that msg is invalid.

Severity
7.1 (High)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
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{
  "affected": [],
  "aliases": [
    "CVE-2026-89818"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-16T11:16:47Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/amdgpu/vcn: fix integer overflow in dec_msg buffer count check\n\nIf the supplied msg[2] (num_buffers) is 0x3FFFFFFF, the expression\n6 + num_buffers * 4 wraps to 2 and the bounds check passes, letting\nthe parser loop far past the end of the message BO. Triggering it\nadditionally requires a ~4GiB mapping so that msg[1] survives the\nearlier \"header does not fit in BO\" check.\n\nRewrite the test in division form, which is overflow-free by\nconstruction. Also update the message to reflect that msg is invalid.",
  "id": "GHSA-vg7q-4fvq-5g86",
  "modified": "2026-09-16T15:30:58Z",
  "published": "2026-09-16T12:30:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-89818"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/47799e1f893d47d8af231710a61065e3ec8a13e8"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/4d7390530853eb7befda9cc786e4c86e8ad7ac9e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6dceaeceaa7c8396339f3ea34b0110cb912ca61b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/7e28853c78c20bb8ba4c1dba702430cd05e09f76"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9ae19bd60891bea0a7b7504cc8dbfe74570ac3b3"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c2340281be4ddacb8c203e2bce59b126d1d6c4c8"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/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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