GHSA-CX2H-XWF3-JP2W

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

Fortra BoKS Manager contains an insecure temporary file vulnerability in bccgethostcert. The utility creates predictable temporary files without first setting a restrictive umask. A local user on the BoKS Master who can read files under BOKS_tmp may be able to obtain CA secret or host private-key material while the utility runs, or obtain CA secret material left behind after successful certificate creation.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-79899"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-377"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-01T15:17:31Z",
    "severity": "HIGH"
  },
  "details": "Fortra BoKS Manager contains an insecure temporary file vulnerability in bccgethostcert. The utility creates predictable temporary files without first setting a restrictive umask. A local user on the BoKS Master who can read files under BOKS_tmp may be able to obtain CA secret or host private-key material while the utility runs, or obtain CA secret material left behind after successful certificate creation.",
  "id": "GHSA-cx2h-xwf3-jp2w",
  "modified": "2026-10-01T15:30:42Z",
  "published": "2026-10-01T15:30:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-79899"
    },
    {
      "type": "WEB",
      "url": "https://www.fortra.com/security/advisories/product-security/fi-2026-014"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N",
      "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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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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