CVE-2026-2579 in WowStore Plugin
Summary
by MITRE • 03/17/2026
The WowStore – Store Builder & Product Blocks for WooCommerce plugin for WordPress is vulnerable to SQL Injection via the ‘search’ parameter in all versions up to, and including, 4.4.3 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.
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Analysis
by VulDB Data Team • 03/22/2026
The WowStore plugin for WooCommerce represents a widely used storefront solution that enables merchants to build custom online stores with various product display blocks and administrative features. This particular vulnerability affects all versions up to and including 4.4.3, making it a significant concern for WordPress administrators who rely on this plugin for their e-commerce operations. The plugin's architecture incorporates direct database query execution without proper input sanitization mechanisms, creating a critical security gap that exposes installations to unauthorized data access attempts. The vulnerability specifically manifests through the 'search' parameter handling within the plugin's core functionality, which is utilized for product discovery and filtering operations.
The technical flaw stems from improper parameter escaping and inadequate SQL query preparation practices within the plugin's codebase. When users perform search operations through the WowStore interface, the 'search' parameter is directly incorporated into database queries without appropriate sanitization or parameter binding mechanisms. This vulnerability falls under the CWE-89 category of SQL Injection, where attacker-supplied input is not properly escaped or validated before being processed by the database engine. The lack of prepared statements or proper input validation allows malicious actors to inject additional SQL commands that can manipulate the original query structure, potentially enabling full database enumeration and unauthorized access to sensitive user information, product data, and administrative credentials.
The operational impact of this vulnerability extends beyond simple data theft, as unauthenticated attackers can leverage the SQL injection flaw to extract comprehensive database contents including customer information, order histories, payment details, and potentially administrative user credentials. The vulnerability's exploitation does not require authentication, making it particularly dangerous for publicly accessible e-commerce sites that rely on this plugin for their core functionality. Attackers can construct malicious search queries that bypass normal access controls and retrieve data that should remain protected within the database. This vulnerability also potentially enables further attacks such as privilege escalation or data modification operations that could compromise the entire e-commerce platform's integrity.
Mitigation strategies for this vulnerability should prioritize immediate plugin updates to versions that address the SQL injection flaw through proper input sanitization and parameter binding practices. System administrators should implement web application firewalls with SQL injection detection capabilities and conduct thorough security audits of all installed plugins and themes to identify similar vulnerabilities. The remediation process must include proper input validation at multiple layers, including client-side and server-side sanitization, along with the implementation of prepared statements or parameterized queries to prevent future injection attacks. Organizations should also consider implementing database access monitoring and logging mechanisms to detect suspicious query patterns that may indicate exploitation attempts. The vulnerability's classification under ATT&CK technique T1071.004 for application layer protocol manipulation highlights the need for comprehensive network security controls and regular vulnerability assessments to prevent unauthorized database access.