GHSA-W29X-26QV-FMMQ

Vulnerability from github – Published: 2024-05-17 15:31 – Updated: 2025-01-14 15:30
VLAI
Details

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

drm/vmwgfx: fix a memleak in vmw_gmrid_man_get_node

When ida_alloc_max fails, resources allocated before should be freed, including *res allocated by kmalloc and ttm_resource_init.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-52662"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-401"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-17T14:15:08Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/vmwgfx: fix a memleak in vmw_gmrid_man_get_node\n\nWhen ida_alloc_max fails, resources allocated before should be freed,\nincluding *res allocated by kmalloc and ttm_resource_init.",
  "id": "GHSA-w29x-26qv-fmmq",
  "modified": "2025-01-14T15:30:49Z",
  "published": "2024-05-17T15:31:08Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-52662"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/03b1072616a8f7d6e8594f643b416a9467c83fbf"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/40624af6674745e174c754a20d7c53c250e65e7a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6fc6233f6db1579b69b54b44571f1a7fde8186e6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/83e0f220d1e992fa074157fcf14945bf170ffbc5"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/89709105a6091948ffb6ec2427954cbfe45358ce"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d1e546ab91c670e536a274a75481034ab7534876"
    }
  ],
  "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.

Sightings

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Nomenclature

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