WordPress Forminator Plugin Stored XSS via Radio Fields

The Forminator Forms – Contact Form, Payment Form & Custom Form Builder plugin for WordPress is vulnerable to Stored Cross-Site Scripting via Radio Field (Save and Continue Draft) in all versions up to, and including, 1.57.0.2 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. This is exploitable because the Save-and-Continue draft submission AJAX endpoint is registered as nopriv, allowing unauthenticated attackers to bypass radio field option-membership validation and persist a crafted payload that, when rendered on the Submissions admin page, is auto-executed via the bundled Inputmask library's data-attribute callback binding.

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 Forminator Forms plugin for WordPress contains a stored cross-site scripting (XSS) vulnerability in its radio field handling within the Save-and-Continue draft feature. Attackers can inject malicious JavaScript through form submissions that persists in the database, executing whenever legitimate users access pages containing the compromised form. With a CVSS score of 7.2 and affecting all versions up to 1.57.0.2, this vulnerability impacts thousands of WordPress sites using this popular form builder. The attack requires no authentication, making it accessible to any web visitor, and the persistent nature means the injected payload affects all subsequent users who view the infected form.

Casky's 323 matched skills leverage Claude's extended reasoning to detect the attack patterns underlying this vulnerability across MITRE techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would observe detection of unsanitized input flowing through radio field parameters into stored database records, combined with unescaped output rendering in page contexts—classic indicators of stored XSS. The platform's skill mapping identifies suspicious form data persistence patterns, DOM manipulation vectors, and script execution contexts that signal compromise. Security teams gain visibility into how attackers chain reconnaissance of vulnerable Forminator installations with execution of arbitrary scripts, enabling them to prioritize patching efforts and audit forms for injected payloads before they propagate further.

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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-2026-18323.

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-2026-18323

Casky has 323 skills that investigate the attack patterns behind CVE-2026-18323. Run one and get CVSS-scored findings in 3 minutes.

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