GHSA-GV6G-GF42-RJG7

Vulnerability from github – Published: 2023-10-25 18:32 – Updated: 2025-02-13 18:31
VLAI
Details

A heap out-of-bounds write vulnerability in the Linux kernel's Linux Kernel Performance Events (perf) component can be exploited to achieve local privilege escalation.

If perf_read_group() is called while an event's sibling_list is smaller than its child's sibling_list, it can increment or write to memory locations outside of the allocated buffer.

We recommend upgrading past commit 32671e3799ca2e4590773fd0e63aaa4229e50c06.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-5717"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-10-25T18:17:43Z",
    "severity": "HIGH"
  },
  "details": "A heap out-of-bounds write vulnerability in the Linux kernel\u0027s Linux Kernel Performance Events (perf) component can be exploited to achieve local privilege escalation.\n\nIf perf_read_group() is called while an event\u0027s sibling_list is smaller than its child\u0027s sibling_list, it can increment or write to memory locations outside of the allocated buffer.\n\nWe recommend upgrading past commit 32671e3799ca2e4590773fd0e63aaa4229e50c06.",
  "id": "GHSA-gv6g-gf42-rjg7",
  "modified": "2025-02-13T18:31:57Z",
  "published": "2023-10-25T18:32:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-5717"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/kernel/events?id=32671e3799ca2e4590773fd0e63aaa4229e50c06"
    },
    {
      "type": "WEB",
      "url": "https://kernel.dance/32671e3799ca2e4590773fd0e63aaa4229e50c06"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2024/01/msg00004.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2024/01/msg00005.html"
    }
  ],
  "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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