SQL Injection in WooCommerce Lumise Product Designer Plugin

The Lumise Product Designer for WooCommerce plugin for WordPress is vulnerable to SQL Injection via the 'id' and 'table' parameters in the uploaded cart JSON file processed by the checkout AJAX action in versions up to, and including, 2.1.1. This is due to insufficient escaping on the user-supplied parameters before they are appended directly to a raw SQL query in the find_resource() function — the 'id' field is interpolated without quotes into a WHERE clause (numeric context) and 'table' is interpolated into the FROM clause, neither of which is protected by wp_magic_quotes or passed through $wpdb->prepare(). This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.

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 Lumise Product Designer for WooCommerce plugin contains a critical SQL injection vulnerability in its checkout AJAX handler that allows attackers to manipulate database queries through insufficiently escaped parameters. Specifically, the 'id' and 'table' parameters from uploaded cart JSON files are directly interpolated into raw SQL queries without proper escaping or parameterization. This vulnerability affects all versions up to 2.1.1 and impacts WordPress sites running this popular design customization plugin. Attackers can exploit this to extract sensitive data, modify database contents, or potentially achieve remote code execution depending on database permissions and WordPress configuration.

Casky's 754 security skills mapped to MITRE ATT&CK enable practitioners to detect the attack patterns underlying this vulnerability across two critical techniques: TA0001 (Reconnaissance) and TA0043 (Reconnaissance via Resource Discovery). When analyzing this CVE, Casky's Claude AI-powered engine would identify SQL injection attack signatures in network traffic and application logs, flagging suspicious cart JSON payloads containing SQL metacharacters in the 'id' and 'table' parameters. Practitioners using Casky would see findings correlating malformed database query patterns with checkout AJAX requests, detect unusual database error messages revealing schema information, and spot attempts to enumerate tables or extract credentials—all hallmarks of SQL injection reconnaissance and exploitation attempts targeting the find_resource() function's unsafe parameter handling.

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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-2026-9713.

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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