GHSA-W54F-PW7X-C532

Vulnerability from github – Published: 2026-04-12 21:30 – Updated: 2026-07-13 12:34
VLAI
Details

In Mesa before 25.3.6 and 26 before 26.0.1, out-of-bounds memory access can occur in WebGPU because the amount of to-be-allocated data depends on an untrusted party, and is then used for alloca.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-40393"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-04-12T19:16:20Z",
    "severity": "HIGH"
  },
  "details": "In Mesa before 25.3.6 and 26 before 26.0.1, out-of-bounds memory access can occur in WebGPU because the amount of to-be-allocated data depends on an untrusted party, and is then used for alloca.",
  "id": "GHSA-w54f-pw7x-c532",
  "modified": "2026-07-13T12:34:52Z",
  "published": "2026-04-12T21:30:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-40393"
    },
    {
      "type": "WEB",
      "url": "https://gitlab.freedesktop.org/mesa/mesa/-/merge_requests/39866"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2026/07/msg00021.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.freedesktop.org/archives/mesa-dev/2026-February/226597.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "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.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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  • 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.

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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.


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