GHSA-R6VX-MJ26-9M2Q

Vulnerability from github – Published: 2025-06-18 12:30 – Updated: 2026-05-12 15:30
VLAI
Details

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

crypto: algif_hash - fix double free in hash_accept

If accept(2) is called on socket type algif_hash with MSG_MORE flag set and crypto_ahash_import fails, sk2 is freed. However, it is also freed in af_alg_release, leading to slab-use-after-free error.

Severity
7.8 (High)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Show details on source website
To clipboard 

{
  "affected": [],
  "aliases": [
    "CVE-2025-38079"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-415"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-06-18T10:15:41Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ncrypto: algif_hash - fix double free in hash_accept\n\nIf accept(2) is called on socket type algif_hash with\nMSG_MORE flag set and crypto_ahash_import fails,\nsk2 is freed. However, it is also freed in af_alg_release,\nleading to slab-use-after-free error.",
  "id": "GHSA-r6vx-mj26-9m2q",
  "modified": "2026-05-12T15:30:53Z",
  "published": "2025-06-18T12:30:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-38079"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-082556.html"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0346f4b742345d1c733c977f3a7aef5a6419a967"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/134daaba93193df9e988524b5cd2f52d15eb1993"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2f45a8d64fb4ed4830a4b3273834ecd6ca504896"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/5bff312b59b3f2a54ff504e4f4e47272b64f3633"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/b2df03ed4052e97126267e8c13ad4204ea6ba9b6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bf7bba75b91539e93615f560893a599c1e1c98bf"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c3059d58f79fdfb2201249c2741514e34562b547"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f0f3d09f53534ea385d55ced408f2b67059b16e4"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2025/10/msg00007.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2025/10/msg00008.html"
    }
  ],
  "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"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.



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.