GHSA-7296-QMW6-C5CW

Vulnerability from github – Published: 2024-05-21 18:31 – Updated: 2024-12-04 21:30
VLAI
Details

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

wifi: ath12k: fix possible out-of-bound write in ath12k_wmi_ext_hal_reg_caps()

reg_cap.phy_id is extracted from WMI event and could be an unexpected value in case some errors happen. As a result out-of-bound write may occur to soc->hal_reg_cap. Fix it by validating reg_cap.phy_id before using it.

This is found during code review.

Compile tested only.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-52829"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-21T16:15:20Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nwifi: ath12k: fix possible out-of-bound write in ath12k_wmi_ext_hal_reg_caps()\n\nreg_cap.phy_id is extracted from WMI event and could be an unexpected value\nin case some errors happen. As a result out-of-bound write may occur to\nsoc-\u003ehal_reg_cap. Fix it by validating reg_cap.phy_id before using it.\n\nThis is found during code review.\n\nCompile tested only.",
  "id": "GHSA-7296-qmw6-c5cw",
  "modified": "2024-12-04T21:30:51Z",
  "published": "2024-05-21T18:31:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-52829"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/4dd0547e8b45faf6f95373be5436b66cde326c0e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/b302dce3d9edea5b93d1902a541684a967f3c63c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/dfe13eaab043130f90dd3d57c7d88577c04adc97"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/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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