GHSA-77PJ-C5WQ-J7Q7

Vulnerability from github – Published: 2025-01-11 15:30 – Updated: 2025-10-15 21:31
VLAI
Details

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

regulator: axp20x: AXP717: set ramp_delay

AXP717 datasheet says that regulator ramp delay is 15.625 us/step, which is 10mV in our case.

Add a AXP_DESC_RANGES_DELAY macro and update AXP_DESC_RANGES macro to expand to AXP_DESC_RANGES_DELAY with ramp_delay = 0

For DCDC4, steps is 100mv

Add a AXP_DESC_DELAY macro and update AXP_DESC macro to expand to AXP_DESC_DELAY with ramp_delay = 0

This patch fix crashes when using CPU DVFS.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-53682"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-01-11T13:15:25Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nregulator: axp20x: AXP717: set ramp_delay\n\nAXP717 datasheet says that regulator ramp delay is 15.625 us/step,\nwhich is 10mV in our case.\n\nAdd a AXP_DESC_RANGES_DELAY macro and update AXP_DESC_RANGES macro to\nexpand to AXP_DESC_RANGES_DELAY with ramp_delay = 0\n\nFor DCDC4, steps is 100mv\n\nAdd a AXP_DESC_DELAY macro and update AXP_DESC macro to\nexpand to AXP_DESC_DELAY with ramp_delay = 0\n\nThis patch fix crashes when using CPU DVFS.",
  "id": "GHSA-77pj-c5wq-j7q7",
  "modified": "2025-10-15T21:31:38Z",
  "published": "2025-01-11T15:30:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-53682"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/10eb845a87193ef922cd002e0ff4f4759c1e918d"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f07ae52f5cf6a5584fdf7c8c652f027d90bc8b74"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/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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