GHSA-HXJ2-X4G6-RHF8

Vulnerability from github – Published: 2025-03-27 18:31 – Updated: 2025-04-14 21:32
VLAI
Details

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

i2c: designware: use casting of u64 in clock multiplication to avoid overflow

In functions i2c_dw_scl_lcnt() and i2c_dw_scl_hcnt() may have overflow by depending on the values of the given parameters including the ic_clk. For example in our use case where ic_clk is larger than one million, multiplication of ic_clk * 4700 will result in 32 bit overflow.

Add cast of u64 to the calculation to avoid multiplication overflow, and use the corresponding define for divide.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-49749"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-190"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-03-27T17:15:39Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ni2c: designware: use casting of u64 in clock multiplication to avoid overflow\n\nIn functions i2c_dw_scl_lcnt() and i2c_dw_scl_hcnt() may have overflow\nby depending on the values of the given parameters including the ic_clk.\nFor example in our use case where ic_clk is larger than one million,\nmultiplication of ic_clk * 4700 will result in 32 bit overflow.\n\nAdd cast of u64 to the calculation to avoid multiplication overflow, and\nuse the corresponding define for divide.",
  "id": "GHSA-hxj2-x4g6-rhf8",
  "modified": "2025-04-14T21:32:23Z",
  "published": "2025-03-27T18:31:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-49749"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2f29d780bd691d20e89e5b35d5e6568607115e94"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9f36aae9e80e79b7a6d62227eaa96935166be9fe"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c8c37bc514514999e62a17e95160ed9ebf75ca8d"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ed173f77fd28a3e4fffc13b3f28687b9eba61157"
    }
  ],
  "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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