GHSA-W8M9-W285-5X2J

Vulnerability from github – Published: 2026-09-16 12:30 – Updated: 2026-09-16 12:30
VLAI
Details

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

parisc: eisa: Fix infinite loop when parsing invalid IRQ value

When an invalid value is passed via the "eisa_irq_edge=" kernel command line parameter (e.g. "eisa_irq_edge=16,5"), eisa_irq_setup() prints an error message and continues without advancing the current position. As a result the same invalid value is parsed again and again, causing an infinite loop while the kernel boots.

Advance to the next comma-separated entry, or stop parsing when there is no next entry, before continuing so that the remaining entries are processed normally.

Show details on source website
To clipboard 

{
  "affected": [],
  "aliases": [
    "CVE-2026-89964"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-16T11:17:06Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nparisc: eisa: Fix infinite loop when parsing invalid IRQ value\n\nWhen an invalid value is passed via the \"eisa_irq_edge=\" kernel\ncommand line parameter (e.g. \"eisa_irq_edge=16,5\"), eisa_irq_setup()\nprints an error message and continues without advancing the current\nposition.  As a result the same invalid value is parsed again and\nagain, causing an infinite loop while the kernel boots.\n\nAdvance to the next comma-separated entry, or stop parsing when there\nis no next entry, before continuing so that the remaining entries are\nprocessed normally.",
  "id": "GHSA-w8m9-w285-5x2j",
  "modified": "2026-09-16T12:30:43Z",
  "published": "2026-09-16T12:30:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-89964"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/16a62a3f2128b3d86fefc082d8f631becd02bff5"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/21f063e3c2b11fb9078ccdfd3b23634313ce4f0c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3e2691eeee83a819125dba3f42c74e1b6730d5cd"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/62d88e93ef5e1e04041e347945f7d7510eba1797"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/68659b627770f3c8d8f578e8ddee78a07d5f1d0e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8640ade22369e248f77fbdd31a9d71b338499eef"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8b585431a16cfb9d8f2955a9fa0787ce3dceb3c2"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bb10d54b74845eb4547baa1b9e908ecd32aa64e1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



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.