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

GHSA-7W7R-XVW6-M4C6

Vulnerability from github – Published: 2026-09-11 21:31 – Updated: 2026-09-14 15:32
VLAI
Details

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

ipmi: ipmb: validate write message length

ipmb_write() read message fields before validating the length byte.

A zero or short write can read uninitialized stack bytes.

A length smaller than the SMBus header underflows the block write length.

Require a non-empty buffer and the minimum IPMB request length.

Also require the length byte plus payload before parsing the message.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-81007"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-11T20:19:09Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nipmi: ipmb: validate write message length\n\nipmb_write() read message fields before validating the length byte.\n\nA zero or short write can read uninitialized stack bytes.\n\nA length smaller than the SMBus header underflows the block write length.\n\nRequire a non-empty buffer and the minimum IPMB request length.\n\nAlso require the length byte plus payload before parsing the message.",
  "id": "GHSA-7w7r-xvw6-m4c6",
  "modified": "2026-09-14T15:32:23Z",
  "published": "2026-09-11T21:31:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-81007"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/53637506884dbd5c91a89b1a3547d99d80f8ed2c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/5719431ca2b5fa26560bb38f6202f8b97fa3bbb0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/60939bcda6f3f104ef456fdbf3cc5733c0720fb1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/7d66d54b974cff0a959e188af844d2d110422767"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8990c7f6bfc1e7689b7012a7d4d0efb9f07a9c89"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/94f8d20153e348c79bc14dc25f873470518892da"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a84c6e3d188f2c6e674910929eb790634299d6d5"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e527cd4e80066e1ed070fdc7c705bde340cdcc62"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/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…