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GHSA-CWP6-92GH-H7H8

Vulnerability from github – Published: 2024-12-27 15:31 – Updated: 2025-01-16 18:30
VLAI
Details

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

riscv: kvm: Fix out-of-bounds array access

In kvm_riscv_vcpu_sbi_init() the entry->ext_idx can contain an out-of-bound index. This is used as a special marker for the base extensions, that cannot be disabled. However, when traversing the extensions, that special marker is not checked prior indexing the array.

Add an out-of-bounds check to the function.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-53228"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-129"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-12-27T14:15:31Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nriscv: kvm: Fix out-of-bounds array access\n\nIn kvm_riscv_vcpu_sbi_init() the entry-\u003eext_idx can contain an\nout-of-bound index. This is used as a special marker for the base\nextensions, that cannot be disabled. However, when traversing the\nextensions, that special marker is not checked prior indexing the\narray.\n\nAdd an out-of-bounds check to the function.",
  "id": "GHSA-cwp6-92gh-h7h8",
  "modified": "2025-01-16T18:30:58Z",
  "published": "2024-12-27T15:31:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-53228"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/332fa4a802b16ccb727199da685294f85f9880cb"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3c49e1084a5df99807fc43dd318c491e6cbaa168"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/b1af648f0d610665c956ea4604d9f797e5c7e991"
    }
  ],
  "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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