GHSA-QGHG-5QFP-W5R4

Vulnerability from github – Published: 2024-06-18 21:30 – Updated: 2025-10-01 15:30
VLAI
Details

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

KEYS: trusted: Do not use WARN when encode fails

When asn1_encode_sequence() fails, WARN is not the correct solution.

  1. asn1_encode_sequence() is not an internal function (located in lib/asn1_encode.c).
  2. Location is known, which makes the stack trace useless.
  3. Results a crash if panic_on_warn is set.

It is also noteworthy that the use of WARN is undocumented, and it should be avoided unless there is a carefully considered rationale to use it.

Replace WARN with pr_err, and print the return value instead, which is only useful piece of information.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-36975"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-06-18T20:15:13Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nKEYS: trusted: Do not use WARN when encode fails\n\nWhen asn1_encode_sequence() fails, WARN is not the correct solution.\n\n1. asn1_encode_sequence() is not an internal function (located\n   in lib/asn1_encode.c).\n2. Location is known, which makes the stack trace useless.\n3. Results a crash if panic_on_warn is set.\n\nIt is also noteworthy that the use of WARN is undocumented, and it\nshould be avoided unless there is a carefully considered rationale to\nuse it.\n\nReplace WARN with pr_err, and print the return value instead, which is\nonly useful piece of information.",
  "id": "GHSA-qghg-5qfp-w5r4",
  "modified": "2025-10-01T15:30:29Z",
  "published": "2024-06-18T21:30:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-36975"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/050bf3c793a07f96bd1e2fd62e1447f731ed733b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/1c652e1e10676f942149052d9329b8bf2703529a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/681935009fec3fc22af97ee312d4a24ccf3cf087"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/96f650995c70237b061b497c66755e32908f8972"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d32c6e09f7c4bec3ebc4941323f0aa6366bc1487"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ff91cc12faf798f573dab2abc976c1d5b1862fea"
    }
  ],
  "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…