GHSA-M498-64HG-9W93

Vulnerability from github – Published: 2026-08-15 15:30 – Updated: 2026-08-19 18:32
VLAI
Details

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

drm/vmwgfx: validate DRAW_PRIMITIVES header size before division

vmw_cmd_draw() computes

maxnum = (header->size - sizeof(cmd->body)) / sizeof(*decl);

where header->size is u32 and is taken straight from the user-supplied command stream. When header->size is less than sizeof(cmd->body) the unsigned subtraction wraps to nearly 4 GiB, producing a huge maxnum. Any user-controlled cmd->body.numVertexDecls then passes the bound and the loop dereferences decl[i] far past the end of the kernel command bounce buffer, producing an out-of-bounds read of kernel memory.

Reject undersized headers up front.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-74444"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-15T13:17:48Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/vmwgfx: validate DRAW_PRIMITIVES header size before division\n\nvmw_cmd_draw() computes\n\n\tmaxnum = (header-\u003esize - sizeof(cmd-\u003ebody)) / sizeof(*decl);\n\nwhere header-\u003esize is u32 and is taken straight from the user-supplied\ncommand stream.  When header-\u003esize is less than sizeof(cmd-\u003ebody) the\nunsigned subtraction wraps to nearly 4 GiB, producing a huge maxnum.\nAny user-controlled cmd-\u003ebody.numVertexDecls then passes the bound and\nthe loop dereferences decl[i] far past the end of the kernel command\nbounce buffer, producing an out-of-bounds read of kernel memory.\n\nReject undersized headers up front.",
  "id": "GHSA-m498-64hg-9w93",
  "modified": "2026-08-19T18:32:27Z",
  "published": "2026-08-15T15:30:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-74444"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/112c6ff29a56f3a22db4d5af869697aa07035ad6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2666cddf0dd218aa9bd1f99db688d1b532eac21a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/85891d174707d8bddcec7a888fb4e1d17def34f3"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/b89ca4bba820f79dde52af15ee139fe6e8bbc314"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bef30317fcb4c838a37bceb2fc76256eb6b975c1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c77cf8edae2bd3a1599115301cc7c98d0c78e731"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/dc0be7662b7b0ce28cb5eea864737793ed7b9e70"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/fc0c02f510e41650df3479f96e257acf87d8a20a"
    }
  ],
  "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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Nomenclature

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