GHSA-M235-M239-QWV2

Vulnerability from github – Published: 2026-09-24 18:31 – Updated: 2026-09-24 18:31
VLAI
Details

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

spi: spi-qcom-qspi: Fix incomplete error handling in runtime PM

The runtime PM functions had incomplete error handling that could leave the system in an inconsistent state. If any operation failed midway through suspend or resume, some resources would be left in the wrong state while others were already changed, leading to potential clock/power imbalances.

Reorder the suspend/resume sequences to avoid brownout risk by ensuring the performance state is set appropriately before clocks are enabled and clocks are disabled before dropping the performance state.

Fix by adding proper error checking for all operations and using goto-based cleanup to ensure all successfully acquired resources are properly released on any error.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-97512"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-24T17:17:29Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nspi: spi-qcom-qspi: Fix incomplete error handling in runtime PM\n\nThe runtime PM functions had incomplete error handling that could leave the\nsystem in an inconsistent state. If any operation failed midway through\nsuspend or resume, some resources would be left in the wrong state while\nothers were already changed, leading to potential clock/power imbalances.\n\nReorder the suspend/resume sequences to avoid brownout risk by ensuring the\nperformance state is set appropriately before clocks are enabled and clocks\nare disabled before dropping the performance state.\n\nFix by adding proper error checking for all operations and using goto-based\ncleanup to ensure all successfully acquired resources are properly released\non any error.",
  "id": "GHSA-m235-m239-qwv2",
  "modified": "2026-09-24T18:31:35Z",
  "published": "2026-09-24T18:31:35Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-97512"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/62dd3b8d3a92eb4e080b2ae491c2a5341654c1ee"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bb18a346271f87889bd64a3861c9a656a3509ea6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d283d5d4d9f6d081ddb65e371be26fffeb611c42"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



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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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