PYSEC-2025-178

Vulnerability from pysec - Published: 2025-04-30 19:15 - Updated: 2026-05-20 09:19
VLAI
Details

OpenCTI is an open-source cyber threat intelligence platform. In versions starting from 6.4.8 to before 6.4.10, the allow/deny lists can be bypassed, allowing a user to change attributes that are intended to be unmodifiable by the user. It is possible to toggle the external flag on/off and change the own token value for a user. It is also possible to edit attributes that are not in the allow list, such as otp_qr and otp_activated. If external users exist in the OpenCTI setup and the information about these users identities is sensitive, the above vulnerabilities can be used to enumerate existing user accounts as a standard low privileged user. This issue has been patched in version 6.4.10.

Impacted products
Name purl
pycti pkg:pypi/pycti

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pycti",
        "purl": "pkg:pypi/pycti"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "6.4.9"
            },
            {
              "fixed": "6.4.11"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "6.4.10",
        "6.4.9"
      ]
    }
  ],
  "aliases": [
    "CVE-2025-24887",
    "GHSA-8262-pw2q-5qc3"
  ],
  "details": "OpenCTI is an open-source cyber threat intelligence platform. In versions starting from 6.4.8 to before 6.4.10, the allow/deny lists can be bypassed, allowing a user to change attributes that are intended to be unmodifiable by the user. It is possible to toggle the `external` flag on/off and change the own token value for a user. It is also possible to edit attributes that are not in the allow list, such as `otp_qr` and `otp_activated`. If external users exist in the OpenCTI setup and the information about these users identities is sensitive, the above vulnerabilities can be used to enumerate existing user accounts as a standard low privileged user. This issue has been patched in version 6.4.10.",
  "id": "PYSEC-2025-178",
  "modified": "2026-05-20T09:19:14.163895Z",
  "published": "2025-04-30T19:15:55.070Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/OpenCTI-Platform/opencti/security/advisories/GHSA-8262-pw2q-5qc3"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
      "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

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