WordPress Form Plugin Stored XSS via Unsanitized Submissions

The FormGent – Next-Gen AI Form Builder for WordPress with Multi-Step, Quizzes, Payments & More plugin for WordPress is vulnerable to Stored Cross-Site Scripting via form submission fields in all versions up to, and including, 1.9.2 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.

Casky was already ahead

This CVE exploits attack patterns that Casky's 322matched 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 FormGent AI Form Builder plugin for WordPress contains a stored cross-site scripting (XSS) vulnerability that allows unauthenticated attackers to inject malicious JavaScript through form submission fields. The vulnerability stems from insufficient input sanitization and output escaping in versions up to 1.9.2, meaning attackers can embed executable scripts directly into form data that persists in the database. When legitimate users access pages containing injected forms, the malicious scripts execute in their browsers with their privileges—potentially enabling credential theft, session hijacking, malware distribution, or unauthorized actions. This affects any WordPress installation using this plugin, from small business sites to enterprise deployments, with particular risk to organizations collecting sensitive data through forms.

Casky's 322 matched security skills leverage Claude AI's extended reasoning to detect the attack patterns behind this vulnerability by analyzing both MITRE techniques TA0001 (Initial Access—form submission as entry point) and TA0043 (Reconnaissance—JavaScript execution context mapping). A practitioner using Casky would identify indicators including: unsanitized user input flowing into database storage without validation, dangerous HTML/JavaScript patterns in form field values, insufficient output encoding when form data renders on pages, and execution contexts where injected scripts can run with user privileges. The platform's skill mapping would surface detection rules targeting payload obfuscation techniques, DOM-based execution vectors, and persistent XSS chains—helping practitioners distinguish benign form submissions from weaponized payloads and prioritize remediation of unsafe sanitization patterns in custom form handling code.

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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 →

322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2025-15028.

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-2025-15028

Casky has 322 skills that investigate the attack patterns behind CVE-2025-15028. Run one and get CVSS-scored findings in 3 minutes.

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