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GHSA-C23F-WG6C-9X73

Vulnerability from github – Published: 2025-12-03 15:30 – Updated: 2025-12-03 15:30
VLAI
Details

The ShopEngine Elementor WooCommerce Builder Addon plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 4.8.5. This is due to missing nonce validation on the "post_add_to_list" function as well as an incorrect permissions callback in the "Api/init" function. This makes it possible for unauthenticated attackers to add or remove products from a user's wishlist via a forged request granted they can trick a site's user into performing an action such as clicking on a link.

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{
  "affected": [],
  "aliases": [
    "CVE-2025-12358"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-352"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-12-03T13:16:00Z",
    "severity": "MODERATE"
  },
  "details": "The ShopEngine Elementor WooCommerce Builder Addon plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 4.8.5. This is due to missing nonce validation on the \"post_add_to_list\" function as well as an incorrect permissions callback in the \"Api/init\" function. This makes it possible for unauthenticated attackers to add or remove products from a user\u0027s wishlist via a forged request granted they can trick a site\u0027s user into performing an action such as clicking on a link.",
  "id": "GHSA-c23f-wg6c-9x73",
  "modified": "2025-12-03T15:30:28Z",
  "published": "2025-12-03T15:30:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-12358"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/changeset/3401226/shopengine"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/6ed605a1-9544-4b53-8d62-ad89214a4fb8?source=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/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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Related by attack behaviour

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