GHSA-F7V4-XW4V-H9WQ

Vulnerability from github – Published: 2024-10-21 18:30 – Updated: 2024-11-01 21:31
VLAI
Details

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

drm/amd/display: Increase array size of dummy_boolean

[WHY] dml2_core_shared_mode_support and dml_core_mode_support access the third element of dummy_boolean, i.e. hw_debug5 = &s->dummy_boolean[2], when dummy_boolean has size of 2. Any assignment to hw_debug5 causes an OVERRUN.

[HOW] Increase dummy_boolean's array size to 3.

This fixes 2 OVERRUN issues reported by Coverity.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-49971"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-10-21T18:15:18Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/amd/display: Increase array size of dummy_boolean\n\n[WHY]\ndml2_core_shared_mode_support and dml_core_mode_support access the third\nelement of dummy_boolean, i.e. hw_debug5 = \u0026s-\u003edummy_boolean[2], when\ndummy_boolean has size of 2. Any assignment to hw_debug5 causes an\nOVERRUN.\n\n[HOW]\nIncrease dummy_boolean\u0027s array size to 3.\n\nThis fixes 2 OVERRUN issues reported by Coverity.",
  "id": "GHSA-f7v4-xw4v-h9wq",
  "modified": "2024-11-01T21:31:46Z",
  "published": "2024-10-21T18:30:59Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-49971"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6d64d39486197083497a01b39e23f2f8474b35d3"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e9e48b7bb9cf3b78f0305ef0144aaf61da0a83d8"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/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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Nomenclature

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