CVE-2025-52717: LifterLMS SQL Injection Vulnerability

CVE-2025-52717 Overview

CVE-2025-52717 is a critical SQL Injection vulnerability affecting LifterLMS, a popular WordPress learning management system (LMS) plugin. The vulnerability stems from improper neutralization of special elements used in SQL commands, allowing unauthenticated attackers to inject malicious SQL queries through the plugin's input handling mechanisms.

Critical Impact

This SQL Injection vulnerability allows unauthenticated remote attackers to potentially extract sensitive data from the WordPress database, modify or delete records, and in some configurations, achieve remote code execution on the underlying server.

Affected Products

• LifterLMS WordPress Plugin versions through 8.0.6
• WordPress installations running vulnerable LifterLMS versions
• E-learning platforms and membership sites using LifterLMS for course management

Discovery Timeline

• 2025-06-27 - CVE-2025-52717 published to NVD
• 2025-07-11 - Last updated in NVD database

Technical Details for CVE-2025-52717

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists in the LifterLMS WordPress plugin due to inadequate input sanitization. The plugin fails to properly neutralize user-supplied input before incorporating it into SQL queries, creating a direct pathway for attackers to manipulate database operations.

The vulnerability is particularly dangerous because it requires no authentication and can be exploited remotely over the network with low attack complexity. Successful exploitation can result in complete compromise of database confidentiality, integrity, and availability. Attackers can potentially access all user credentials, course data, payment information, and other sensitive data stored within the WordPress database.

Root Cause

The root cause of CVE-2025-52717 is the failure to implement proper input validation and parameterized queries (prepared statements) when processing user-controlled data. Instead of treating user input as data, the vulnerable code concatenates it directly into SQL query strings, allowing attackers to break out of the intended query context and inject arbitrary SQL commands.

Attack Vector

The attack vector is network-based, allowing remote exploitation without requiring authentication or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads targeting the vulnerable endpoint in LifterLMS.

Typical SQL injection techniques applicable to this vulnerability include:

• Union-based injection - Combining malicious queries with legitimate ones to extract data
• Boolean-based blind injection - Inferring database contents through true/false responses
• Time-based blind injection - Using database delay functions to extract data character by character
• Error-based injection - Exploiting verbose error messages to reveal database structure

For detailed technical information about this vulnerability, refer to the Patchstack LifterLMS SQL Injection Vulnerability advisory.

Detection Methods for CVE-2025-52717

Indicators of Compromise

• Unusual database queries in MySQL/MariaDB logs containing SQL injection patterns such as UNION SELECT, OR 1=1, or SLEEP() functions
• HTTP access logs showing requests with encoded SQL characters (%27, %22, %3D) targeting LifterLMS endpoints
• Unexpected database modifications, new administrative users, or data exfiltration indicators
• Web Application Firewall (WAF) alerts for SQL injection attempts against WordPress installations

Detection Strategies

• Deploy Web Application Firewall (WAF) rules specifically tuned to detect SQL injection patterns in requests to LifterLMS endpoints
• Enable and monitor MySQL slow query logs and general query logs for anomalous query patterns
• Implement intrusion detection system (IDS) signatures for common SQL injection attack vectors
• Review WordPress audit logs for unauthorized access patterns or privilege escalation events

Monitoring Recommendations

• Continuously monitor database performance metrics for unusual query execution patterns or resource spikes
• Set up alerts for failed authentication attempts and suspicious user account creation
• Implement real-time log analysis with SIEM solutions to correlate potential SQL injection indicators
• Regularly audit LifterLMS plugin version and ensure security patches are applied promptly

How to Mitigate CVE-2025-52717

Immediate Actions Required

• Update LifterLMS to the latest patched version immediately (versions after 8.0.6)
• Temporarily disable the LifterLMS plugin if immediate patching is not possible
• Deploy WAF rules to block SQL injection attempts as an interim protection measure
• Review database logs and user accounts for signs of prior exploitation

Patch Information

Site administrators should update LifterLMS to the latest available version through the WordPress plugin repository. Navigate to the WordPress admin dashboard, go to Plugins > Installed Plugins, locate LifterLMS, and click "Update Now" if an update is available. Alternatively, manually download and install the latest version from the official WordPress plugin directory.

For the most current patch information and version details, consult the Patchstack LifterLMS SQL Injection Vulnerability advisory.

Workarounds

• Implement a Web Application Firewall (WAF) with SQL injection detection rules to filter malicious requests before they reach the application
• Restrict network access to the WordPress admin area and LifterLMS endpoints using IP whitelisting where feasible
• Enable WordPress security plugins with real-time malware scanning and vulnerability monitoring capabilities
• Consider temporarily taking affected learning management functionality offline if the risk is deemed too high and patching cannot be performed immediately

# Example WAF rule configuration for ModSecurity
# Add to your Apache/Nginx ModSecurity configuration
SecRule ARGS "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection Attack Detected - LifterLMS Protection',\
    tag:'application-multi',\
    tag:'language-multi',\
    tag:'platform-multi',\
    tag:'attack-sqli'"