GHSA-58W4-CF2C-HF22

Vulnerability from github – Published: 2026-10-01 15:30 – Updated: 2026-10-01 15:30
VLAI
Details

boks_ksllogsd accepts a checksum algorithm name in the MD field of an authenticated KSL start message. Affected releases verify that OpenSSL recognizes the digest name but do not verify that the value fits in a fixed 16-byte checksum context field before copying it. An authenticated KSL client can supply an oversized, OpenSSL-recognized digest name and write beyond the end of the heap allocation.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-79900"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-01T15:17:31Z",
    "severity": "MODERATE"
  },
  "details": "boks_ksllogsd accepts a checksum algorithm name in the MD field of an authenticated KSL start message. Affected releases verify that OpenSSL recognizes the digest name but do not verify that the value fits in a fixed 16-byte checksum context field before copying it. An authenticated KSL client can supply an oversized, OpenSSL-recognized digest name and write beyond the end of the heap allocation.",
  "id": "GHSA-58w4-cf2c-hf22",
  "modified": "2026-10-01T15:30:42Z",
  "published": "2026-10-01T15:30:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-79900"
    },
    {
      "type": "WEB",
      "url": "https://www.fortra.com/security/advisories/product-security/fi-2026-013"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/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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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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