GHSA-9P5Q-96WV-4XVH

Vulnerability from github – Published: 2026-08-10 15:33 – Updated: 2026-08-10 15:33
VLAI
Details

In affected versions of MISP cti-transmute, the conversion-history details endpoint performs an incomplete authorization check. When a history record references a deleted conversion, the associated conversion lookup returns None. The previous logic only denied access when the conversion object existed and the visibility check failed. As a result, deleted conversions bypassed the authorization check and their retained history input/output could be disclosed to a user able to request the corresponding history entry. The July 22, 2026 commit changes the logic to deny access whenever the conversion is missing or the requester lacks permission

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-72759"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-862"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-10T15:17:44Z",
    "severity": "MODERATE"
  },
  "details": "In affected versions of MISP cti-transmute, the conversion-history details endpoint performs an incomplete authorization check. When a history record references a deleted conversion, the associated conversion lookup returns None. The previous logic only denied access when the conversion object existed and the visibility check failed. As a result, deleted conversions bypassed the authorization check and their retained history input/output could be disclosed to a user able to request the corresponding history entry. The July 22, 2026 commit changes the logic to deny access whenever the conversion is missing or the requester lacks permission",
  "id": "GHSA-9p5q-96wv-4xvh",
  "modified": "2026-08-10T15:33:52Z",
  "published": "2026-08-10T15:33:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-72759"
    },
    {
      "type": "WEB",
      "url": "https://github.com/MISP/cti-transmute/commit/88dc65f0117cf7a120f6252674c529e7b9c9b8c3"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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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.

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