GHSA-W4MH-VMR5-87JC

Vulnerability from github – Published: 2026-05-06 12:30 – Updated: 2026-05-08 15:31
VLAI?
Details

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

mailbox: mchp-ipc-sbi: fix out-of-bounds access in mchp_ipc_get_cluster_aggr_irq()

The cluster_cfg array is dynamically allocated to hold per-CPU configuration structures, with its size based on the number of online CPUs. Previously, this array was indexed using hartid, which may be non-contiguous or exceed the bounds of the array, leading to out-of-bounds access. Switch to using cpuid as the index, as it is guaranteed to be within the valid range provided by for_each_online_cpu().

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-43274"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-06T12:16:48Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nmailbox: mchp-ipc-sbi: fix out-of-bounds access in mchp_ipc_get_cluster_aggr_irq()\n\nThe cluster_cfg array is dynamically allocated to hold per-CPU\nconfiguration structures, with its size based on the number of online\nCPUs. Previously, this array was indexed using hartid, which may be\nnon-contiguous or exceed the bounds of the array, leading to\nout-of-bounds access.\nSwitch to using cpuid as the index, as it is guaranteed to be within\nthe valid range provided by for_each_online_cpu().",
  "id": "GHSA-w4mh-vmr5-87jc",
  "modified": "2026-05-08T15:31:18Z",
  "published": "2026-05-06T12:30:35Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-43274"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0442b6229e2eedc95a6d3d18ce75dec7f5b5377c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/95438699c92947155823dcd3918049a07f3cd867"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f7c330a8c83c9b0332fd524097eaf3e69148164d"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/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.

Sightings

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Nomenclature

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