GHSA-87F6-C6F3-59H3

Vulnerability from github – Published: 2026-08-15 06:32 – Updated: 2026-08-19 18:32
VLAI
Details

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

dmaengine: sh: rz-dmac: Move interrupt request after everything is set up

Once the interrupt is requested, the interrupt handler may run immediately. Since the IRQ handler can access channel->ch_base, which is initialized only after requesting the IRQ, this may lead to invalid memory access. Likewise, the IRQ thread may access uninitialized data (the ld_free, ld_queue, and ld_active lists), which may also lead to issues.

Request the interrupts only after everything is set up. To keep the error path simpler, use dmam_alloc_coherent() instead of dma_alloc_coherent().

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-72146"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-15T06:21:32Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndmaengine: sh: rz-dmac: Move interrupt request after everything is set up\n\nOnce the interrupt is requested, the interrupt handler may run immediately.\nSince the IRQ handler can access channel-\u003ech_base, which is initialized\nonly after requesting the IRQ, this may lead to invalid memory access.\nLikewise, the IRQ thread may access uninitialized data (the ld_free,\nld_queue, and ld_active lists), which may also lead to issues.\n\nRequest the interrupts only after everything is set up. To keep the error\npath simpler, use dmam_alloc_coherent() instead of dma_alloc_coherent().",
  "id": "GHSA-87f6-c6f3-59h3",
  "modified": "2026-08-19T18:32:27Z",
  "published": "2026-08-15T06:32:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-72146"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/07ae600bd353b22f31a8f1007269744fafc7f123"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0e0c5b3cf374ebf3c589741751e1fbc67f53ec2f"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2a4d9e2234c3f817bb0ddbc8680d09ce9be84f93"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/5b12de6229d662864ee22c11d4876652b40120f0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/731712403ddb39d1a76a11abf339a0615bc85de7"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d24d53323e817d79a4bd111bd10b34dbc96e64a8"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ec9f66c91bffdb69d309bae6dfb387562db7ebc8"
    }
  ],
  "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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