GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

GHSA-3FH4-4HV7-69QH

Vulnerability from github – Published: 2025-10-04 18:31 – Updated: 2026-01-23 21:30
VLAI
Details

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

iommu/vt-d: Clean up si_domain in the init_dmars() error path

A splat from kmem_cache_destroy() was seen with a kernel prior to commit ee2653bbe89d ("iommu/vt-d: Remove domain and devinfo mempool") when there was a failure in init_dmars(), because the iommu_domain cache still had objects. While the mempool code is now gone, there still is a leak of the si_domain memory if init_dmars() fails. So clean up si_domain in the init_dmars() error path.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-50482"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-908"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-10-04T16:15:44Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\niommu/vt-d: Clean up si_domain in the init_dmars() error path\n\nA splat from kmem_cache_destroy() was seen with a kernel prior to\ncommit ee2653bbe89d (\"iommu/vt-d: Remove domain and devinfo mempool\")\nwhen there was a failure in init_dmars(), because the iommu_domain\ncache still had objects. While the mempool code is now gone, there\nstill is a leak of the si_domain memory if init_dmars() fails. So\nclean up si_domain in the init_dmars() error path.",
  "id": "GHSA-3fh4-4hv7-69qh",
  "modified": "2026-01-23T21:30:37Z",
  "published": "2025-10-04T18:31:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-50482"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0365d6af75f9f2696e94a0fef24a2c8464c037c8"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/5cecfe151874b835331efe086bbdcaeaf64f6b90"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/620bf9f981365c18cc2766c53d92bf8131c63f32"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/724483b585a1b1e063d42ac5aa835707ff2ec165"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/749bea542b67513e99240dc58bbfc099e842d508"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c4ad3ae4c6be9d8b0701761c839771116bca6ea3"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d74196bb278b8f8af88e16bd595997dfa3d6fdb0"
    }
  ],
  "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…

Detection rules are retrieved from Rulezet.

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…