WordPress GD Rating System Stored XSS via AJAX Handlers

The GD Rating System plugin for WordPress is vulnerable to Stored Cross-Site Scripting via 'title' and 'url' Render Args in gdrts_live_handler AJAX in all versions up to, and including, 3.7.1 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. Although the AJAX action requires a per-item nonce, that nonce is publicly emitted in the page's <script class="gdrts-rating-data"> JSON block on every page rendering the rating item, making it obtainable by any unauthenticated visitor and therefore not an authentication barrier.

Casky was already ahead

This CVE exploits attack patterns that Casky's 323matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

The GD Rating System plugin for WordPress contains a Stored Cross-Site Scripting (XSS) vulnerability in versions up to 3.7.1, affecting the gdrts_live_handler AJAX action. Attackers can inject malicious scripts through insufficiently sanitized 'title' and 'url' render arguments, which persist in the database and execute whenever users access affected pages. While the AJAX action includes a nonce verification mechanism, the nonce is publicly exposed in page source code, allowing unauthenticated attackers to bypass this protection. This vulnerability impacts all WordPress installations using this plugin, with potential for widespread malicious script injection, session hijacking, credential theft, and site defacement.

Casky's 323 matching skills leverage Claude AI with extended reasoning to detect the attack patterns mapped to MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance via public nonce discovery in page source). Practitioners using Casky would see detections focused on CWE-79 input validation failures: identifying AJAX requests to gdrts_live_handler with suspicious 'title' or 'url' parameters containing script tags, event handlers, or encoded payloads. The platform would flag patterns indicating stored payload persistence in database queries and subsequent script execution on page loads. Extended reasoning analysis would correlate nonce reuse patterns, track payload propagation across affected pages, and identify the progression from initial injection through exploitation—enabling security teams to pinpoint compromised content, trace attack scope, and prioritize remediation of both the plugin version and injected malicious content.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

323 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-93430.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-93430

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