GHSA-7674-FJ4M-C42F

Vulnerability from github – Published: 2024-02-27 12:31 – Updated: 2024-04-10 18:30
VLAI
Details

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

Input: appletouch - initialize work before device registration

Syzbot has reported warning in __flush_work(). This warning is caused by work->func == NULL, which means missing work initialization.

This may happen, since input_dev->close() calls cancel_work_sync(&dev->work), but dev->work initalization happens after input_register_device() call.

So this patch moves dev->work initialization before registering input device

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-46932"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-665"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-02-27T10:15:07Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nInput: appletouch - initialize work before device registration\n\nSyzbot has reported warning in __flush_work(). This warning is caused by\nwork-\u003efunc == NULL, which means missing work initialization.\n\nThis may happen, since input_dev-\u003eclose() calls\ncancel_work_sync(\u0026dev-\u003ework), but dev-\u003ework initalization happens _after_\ninput_register_device() call.\n\nSo this patch moves dev-\u003ework initialization before registering input\ndevice",
  "id": "GHSA-7674-fj4m-c42f",
  "modified": "2024-04-10T18:30:47Z",
  "published": "2024-02-27T12:31:10Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-46932"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/292d2ac61fb0d9276a0f7b7ce4f50426f2a1c99f"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/975774ea7528b489930b76a77ffc4d5379b95ff2"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9f329d0d6c91142cf0ad08d23c72dd195db2633c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9f3ccdc3f6ef10084ceb3a47df0961bec6196fd0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a02e1404e27855089d2b0a0acc4652c2ce65fe46"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d1962f263a176f493400b8f91bfbf2bfedce951e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d2cb2bf39a6d17ef4bdc0e59c1a35cf5751ad8f4"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e79ff8c68acb1eddf709d3ac84716868f2a91012"
    }
  ],
  "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"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Loading…

Loading…

Loading…

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


Loading…