Stored XSS in WooCommerce PDF Invoice Plugin Billing Fields

The PDF Invoices & Packing Slips for WooCommerce plugin for WordPress is vulnerable to Stored Cross-Site Scripting via Billing First Name / Last Name / Company Fields in all versions up to, and including, 5.16.1 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. The payload survives initial storage because WooCommerce's sanitize_text_field() and wc_clean() do not strip entity-encoded strings containing no literal '<' character, allowing unauthenticated guest-checkout orders to plant the malicious content.

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 PDF Invoices & Packing Slips for WooCommerce plugin contains a stored cross-site scripting (XSS) vulnerability in billing name and company fields, allowing unauthenticated attackers to inject malicious scripts that persist in the database. When any user accesses an order containing injected payloads, the scripts execute in their browser context, potentially enabling account takeover, credential theft, or malware distribution. This vulnerability affects all WooCommerce installations using the plugin up to version 5.16.1, putting thousands of e-commerce sites at risk since the plugin is widely deployed across WordPress ecosystems.

Casky's platform maps this vulnerability to MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance), with 323 relevant security skills available for detection and response. Practitioners using Casky would identify attack patterns through: (1) monitoring for suspicious input in billing form fields containing script tags or event handlers, (2) detecting CWE-79 signature patterns in order data sanitization failures, and (3) observing execution of unauthorized scripts when order pages render. Claude AI's extended reasoning enables practitioners to correlate billing field injections with subsequent malicious script execution, distinguishing legitimate user data from adversarial payloads. Security teams would see findings highlighting insufficient input validation combined with unescaped output rendering—the core weakness enabling stored XSS—allowing them to prioritize patching and implement compensating controls like Content Security Policy headers.

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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-2026-92244.

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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