GHSA-F632-R9W6-239M

Vulnerability from github – Published: 2023-01-10 18:30 – Updated: 2026-04-08 21:31
VLAI
Details

The Royal Elementor Addons plugin for WordPress is vulnerable to Reflected Cross-Site Scripting in versions up to, and including, 1.3.59, due to due to insufficient input sanitization and output escaping of the 'wpr_ajax_search_link_target' parameter in the 'data_fetch' function. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that execute if they can successfully trick a user into performing an action such as clicking on a link. This is occurring because 'sanitize_text_field' is insufficient to prevent attribute-based Cross-Site Scripting

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{
  "affected": [],
  "aliases": [
    "CVE-2022-4710"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-01-10T17:15:00Z",
    "severity": "MODERATE"
  },
  "details": "The Royal Elementor Addons plugin for WordPress is vulnerable to Reflected Cross-Site Scripting in versions up to, and including, 1.3.59, due to due to insufficient input sanitization and output escaping of the \u0027wpr_ajax_search_link_target\u0027 parameter in the \u0027data_fetch\u0027 function. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that execute if they can successfully trick a user into performing an action such as clicking on a link. This is occurring because \u0027sanitize_text_field\u0027 is insufficient to prevent attribute-based Cross-Site Scripting",
  "id": "GHSA-f632-r9w6-239m",
  "modified": "2026-04-08T21:31:47Z",
  "published": "2023-01-10T18:30:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-4710"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/royal-elementor-addons/trunk/classes/wpr-ajax-search.php?rev=2809656"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/blog/2023/01/eleven-vulnerabilities-patched-in-royal-elementor-addons"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/ac6c6ce4-9944-4c8e-89aa-6a2e870ef205"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/ac6c6ce4-9944-4c8e-89aa-6a2e870ef205?source=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/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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