CVE Intelligence

Realmag777 HUSKY – Products Filter Professional for WooCommerce vulnerabilities

🔔 Create alert RSS Version checker

Published CVEs affecting Realmag777 HUSKY – Products Filter Professional for WooCommerce: 3 record(s), with affected versions and fixes.

CVE-2025-13110 Medium · 4.3 CWE-639 Dec 18, 2025
HUSKY – Products Filter Professional for WooCommerce <= 1.3.7.3 - Authenticated (Subscriber+) Insecure Direct Object Reference via 'woof_add_subscr'
The HUSKY – Products Filter Professional for WooCommerce plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 1.3.7.3 via the "woof_add_subscr" function due to missing validation on a user controlled key. This makes it possible for authenticated attackers, with subscriber level access and above, to create product messenger subscriptions on behalf of arbitrary users, including administrators.
CVE-2025-13109 Medium · 4.3 CWE-639 Dec 3, 2025
HUSKY – Products Filter Professional for WooCommerce <= 1.3.7.2 - Authenticated (Subscriber+) Insecure Direct Object Reference via 'woof_add_query/woof_remove_query'
The HUSKY – Products Filter Professional for WooCommerce plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 1.3.7.2 via the "woof_add_query" and "woof_remove_query" functions due to missing validation on a user controlled key. This makes it possible for authenticated attackers, with subscriber level access and above, to insert or remove arbitrary saved search queries into any user's profile, including administrators.
CVE-2025-11735 High · 7.5 CWE-89 Oct 28, 2025
HUSKY – Products Filter Professional for WooCommerce <= 1.3.7.1 - Unauthenticated SQL Injection via `phrase` Parameter
The HUSKY – Products Filter Professional for WooCommerce plugin for WordPress is vulnerable to blind SQL Injection via the `phrase` parameter in all versions up to, and including, 1.3.7.1 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.