GHSA-G5J5-RRPC-X3MQ

Vulnerability from github – Published: 2024-03-13 18:31 – Updated: 2026-04-08 21:32
VLAI
Details

The Duitku Payment Gateway plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on the check_duitku_response function in all versions up to, and including, 2.11.4. This makes it possible for unauthenticated attackers to change the payment status of orders to failed.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-0631"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-284"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-03-13T16:15:12Z",
    "severity": "MODERATE"
  },
  "details": "The Duitku Payment Gateway plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on the check_duitku_response function in all versions up to, and including, 2.11.4. This makes it possible for unauthenticated attackers to change the payment status of orders to failed.",
  "id": "GHSA-g5j5-rrpc-x3mq",
  "modified": "2026-04-08T21:32:20Z",
  "published": "2024-03-13T18:31:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-0631"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/duitku-social-payment-gateway/trunk/woocommerce-gateway-duitku.php#L409"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/changeset?sfp_email=\u0026sfph_mail=\u0026reponame=\u0026old=3047645%40duitku-social-payment-gateway\u0026new=3047645%40duitku-social-payment-gateway\u0026sfp_email=\u0026sfph_mail="
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/a33de35f-1c9d-4fc9-9be8-0a1c7d9352ec?source=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/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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Nomenclature

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