WordPress Form Plugin Stored DOM-Based XSS Vulnerability

The HT Contact Form – Drag & Drop Form Builder for WordPress plugin for WordPress is vulnerable to Stored DOM-Based Cross-Site Scripting via 'form_data' Rich Text Field via Draft Save/Resume in all versions up to, and including, 2.10.1 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. Exploitation requires tricking a user into clicking an attacker-supplied draft resume URL, which the attacker constructs using the draft_key and access_token returned directly in the save response.

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 HT Contact Form – Drag & Drop Form Builder WordPress plugin contains a Stored DOM-Based Cross-Site Scripting (XSS) vulnerability in its rich text field handling, specifically within the draft save/resume functionality. This vulnerability allows unauthenticated attackers to inject malicious scripts that persist in the database and execute in users' browsers whenever they access affected pages. With a CVSS score of 7.2 and affecting all versions up to 2.10.1, this poses significant risk to WordPress sites using this popular form builder plugin. The attack requires social engineering to trick users into clicking malicious links, but once executed, the injected scripts run with the privileges of the affected user, potentially leading to account compromise, credential theft, or unauthorized actions performed on behalf of victims.

Casky.ai's 323 mapped skills detect this vulnerability through Claude AI's analysis of attack patterns aligned with MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would observe detection signals for CWE-79 (Improper Neutralization of Input During Web Page Generation) across multiple skill categories: input validation bypass patterns, DOM manipulation anomalies, and insufficient output encoding detection. The platform's extended reasoning capabilities would flag the stored XSS chain—from malicious input acceptance through draft mechanisms to execution on page render—as a complete attack sequence. Security teams would see specific findings highlighting unescaped 'form_data' parameters in rich text fields, indicating where sanitization failures occur, enabling them to prioritize patching efforts and implement compensating controls like Content Security Policy headers before updates are available.

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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-2026-93303.

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

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