GHSA-JC66-9QCW-88HP

Vulnerability from github – Published: 2024-02-26 18:30 – Updated: 2024-04-17 18:31
VLAI
Details

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

HID: usbhid: fix info leak in hid_submit_ctrl

In hid_submit_ctrl(), the way of calculating the report length doesn't take into account that report->size can be zero. When running the syzkaller reproducer, a report of size 0 causes hid_submit_ctrl) to calculate transfer_buffer_length as 16384. When this urb is passed to the usb core layer, KMSAN reports an info leak of 16384 bytes.

To fix this, first modify hid_report_len() to account for the zero report size case by using DIV_ROUND_UP for the division. Then, call it from hid_submit_ctrl().

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-46906"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-668"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-02-26T18:15:07Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nHID: usbhid: fix info leak in hid_submit_ctrl\n\nIn hid_submit_ctrl(), the way of calculating the report length doesn\u0027t\ntake into account that report-\u003esize can be zero. When running the\nsyzkaller reproducer, a report of size 0 causes hid_submit_ctrl) to\ncalculate transfer_buffer_length as 16384. When this urb is passed to\nthe usb core layer, KMSAN reports an info leak of 16384 bytes.\n\nTo fix this, first modify hid_report_len() to account for the zero\nreport size case by using DIV_ROUND_UP for the division. Then, call it\nfrom hid_submit_ctrl().",
  "id": "GHSA-jc66-9qcw-88hp",
  "modified": "2024-04-17T18:31:31Z",
  "published": "2024-02-26T18:30:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-46906"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0e280502be1b003c3483ae03fc60dea554fcfa82"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/21883bff0fd854e07429a773ff18f1e9658f50e8"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/41b1e71a2c57366b08dcca1a28b0d45ca69429ce"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6be388f4a35d2ce5ef7dbf635a8964a5da7f799f"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/7f5a4b24cdbd7372770a02f23e347d7d9a9ac8f1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8c064eece9a51856f3f275104520c7e3017fc5c0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/b1e3596416d74ce95cc0b7b38472329a3818f8a9"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c5d3c142f2d57d40c55e65d5622d319125a45366"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "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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