GHSA-7HPJ-6664-9JJW

Vulnerability from github – Published: 2026-07-19 12:30 – Updated: 2026-07-20 15:31
VLAI
Details

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

iio: adc: ti-ads1298: add bounds check to pga_settings index

ads1298_pga_settings has 7 elements but ADS1298_MASK_CH_PGA can yield values 0-7. If it yields a value >= 7, this causes an out-of-bounds array access. Add a bounds check and return -EINVAL if the index is out of range.

Note that the remaining value b111 is reserved so should not be seen in a correctly functioning system.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-53386"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-19T12:16:49Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\niio: adc: ti-ads1298: add bounds check to pga_settings index\n\nads1298_pga_settings has 7 elements but ADS1298_MASK_CH_PGA can yield\nvalues 0-7. If it yields a value \u003e= 7, this causes an out-of-bounds\narray access. Add a bounds check and return -EINVAL if the index\nis out of range.\n\nNote that the remaining value b111 is reserved so should not be seen\nin a correctly functioning system.",
  "id": "GHSA-7hpj-6664-9jjw",
  "modified": "2026-07-20T15:31:44Z",
  "published": "2026-07-19T12:30:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53386"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/95e8a48d7a85d4226934020e57815a3316d3a14b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/abd776ded3e256889610595290f6ca46cb6e91ab"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/abe0854e356b1bb814393ca884cb42b3eb12ce10"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d08d82d83ed45fd8c001a9df66ad7ebb86c9d6c6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d5793975fc3b1780ba576812158ef22e3104e60e"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/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.

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