WooCommerce Product Bundles Plugin Stored XSS via Quantity Parameter

The WPC Product Bundles for WooCommerce plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'qty' parameter in all versions up to, and including, 8.6.6 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. The float cast used during quantity validation allows a numeric-prefixed payload such as '1<img src=x onerror=...>' to pass validation while retaining its malicious HTML, which is then stored verbatim in order item metadata under the '_woosb_ids' key.

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 WPC Product Bundles for WooCommerce plugin contains a Stored Cross-Site Scripting (CWE-79) vulnerability affecting all versions up to 8.6.6. Attackers can inject malicious JavaScript through the 'qty' parameter, which is insufficiently sanitized due to a permissive float cast during validation. This allows numeric-prefixed payloads (e.g., '1<img src=x onerror=...') to bypass input checks and persist in the database. When any user accesses an injected page, the stored script executes in their browser with their privileges, making this particularly dangerous for WordPress sites running WooCommerce storefronts where product bundle pages are frequently visited by customers and administrators alike.

Casky's 323 mapped security skills leverage Claude AI with extended reasoning to detect the attack patterns underlying this vulnerability across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance). Practitioners using Casky would identify suspicious findings in two key areas: (1) insufficient input validation patterns where numeric type casting is used to bypass sanitization filters, and (2) output encoding gaps where user-controlled data flows directly into HTML contexts without proper escaping. The platform's skills would flag the specific weakness—relying on float conversion rather than comprehensive input sanitization—and highlight how attackers probe parameters for type-casting bypasses. Security teams would see detailed findings showing how the 'qty' parameter concatenation reaches the DOM without HTMLEntity encoding, enabling script injection detection before exploitation occurs in production environments.

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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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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-2026-93836.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

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abusing-dpapi-for-credential-access

red teaming · high

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abusing-shadow-credentials-for-privesc

red teaming · high

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MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-93836

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