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

GHSA-G8P3-WVVX-M6MF

Vulnerability from github – Published: 2026-07-19 18:31 – Updated: 2026-07-20 15:32
VLAI
Details

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

ALSA: pcm: Don't setup bogus iov_iter for silencing

At transition to the iov_iter for PCM data transfer, we blindly applied the iov_iter setup also for silencing (i.e. data = NULL), and it leads to a calculation of bogus iov_iter. Fortunately this didn't cause troubles on most of architectures but it goes wrong on RISC-V now, causing a NULL dereference.

Handle the NULL data case to treat the silencing in interleaved_copy() for addressing the bug above. noninterleaved_copy() has already the NULL data handling, so it doesn't need changes.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-64134"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-19T16:17:55Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nALSA: pcm: Don\u0027t setup bogus iov_iter for silencing\n\nAt transition to the iov_iter for PCM data transfer, we blindly\napplied the iov_iter setup also for silencing (i.e. data = NULL), and\nit leads to a calculation of bogus iov_iter.  Fortunately this didn\u0027t\ncause troubles on most of architectures but it goes wrong on RISC-V\nnow, causing a NULL dereference.\n\nHandle the NULL data case to treat the silencing in interleaved_copy()\nfor addressing the bug above.  noninterleaved_copy() has already the\nNULL data handling, so it doesn\u0027t need changes.",
  "id": "GHSA-g8p3-wvvx-m6mf",
  "modified": "2026-07-20T15:32:01Z",
  "published": "2026-07-19T18:31:53Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-64134"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/41a766c647294842c9b17672449f8e011048cba9"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c9f6768515818d71bdfc20119a81f3332c53b9c6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ce836587e594af39ff048d9b29dee0f5f10692c9"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e4d3386b74fba8e01280484b67ee481ece00201e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/feff0251386aa6bb180a0a1cf7c1f91ba868113d"
    }
  ],
  "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.


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…