SQL Injection in WooCommerce Marketplace Plugin Location Parameter

The WCFM Marketplace – Multivendor Marketplace for WooCommerce plugin for WordPress is vulnerable to generic SQL Injection via the 'wcfmmp_user_location_lng' parameter in all versions up to, and including, 3.8.2 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. 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 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 WCFM Marketplace plugin for WordPress contains a critical SQL injection vulnerability in the 'wcfmmp_user_location_lng' parameter that affects all versions through 3.8.2. This flaw stems from insufficient input escaping and improper SQL query preparation, allowing unauthenticated attackers to inject arbitrary SQL commands. The vulnerability is particularly concerning because it requires no authentication, making any WordPress site running this popular multivendor marketplace plugin an immediate target. Threat actors can exploit this to extract sensitive data including customer information, payment details, and vendor credentials—directly impacting e-commerce businesses and their customers.

Casky's 323 mapped skills detect the attack patterns behind this vulnerability by correlating SQL injection techniques with the MITRE ATT&CK tactics of Initial Access (TA0001) and Reconnaissance (TA0043). Through Claude AI's extended reasoning capabilities, practitioners using Casky would identify suspicious parameter manipulation attempts, unusual SQL syntax in web logs, and data exfiltration patterns characteristic of database reconnaissance. The platform would flag requests containing SQL operators (UNION, SELECT, WHERE modifications) in the 'wcfmmp_user_location_lng' parameter, correlate these with database query failures or successes, and surface them as exploitation attempts. Additionally, Casky would help teams understand the kill chain—from reconnaissance of plugin presence, through SQL injection execution, to credential harvesting—enabling them to implement layered defenses including input validation, parameterized queries, and Web Application Firewall (WAF) rules targeting this specific attack vector.

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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-2026-18442.

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-2026-18442

Casky has 323 skills that investigate the attack patterns behind CVE-2026-18442. Run one and get CVSS-scored findings in 3 minutes.

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