CVE-2025-69307 Overview
CVE-2025-69307 is a critical Blind SQL Injection vulnerability affecting the TeconceTheme Medinik Core WordPress plugin (medinik-core). This vulnerability allows unauthenticated attackers to execute arbitrary SQL commands against the backend database through improperly neutralized user input, potentially leading to unauthorized data access and system compromise.
Critical Impact
Unauthenticated attackers can exploit this blind SQL injection vulnerability to extract sensitive database contents including user credentials, personal information, and other confidential data stored in WordPress installations running vulnerable versions of the Medinik Core plugin.
Affected Products
- TeconceTheme Medinik Core plugin versions through 1.3.6
- WordPress installations using the affected plugin versions
- Websites built with Medinik theme requiring the Medinik Core plugin
Discovery Timeline
- 2026-02-20 - CVE CVE-2025-69307 published to NVD
- 2026-02-24 - Last updated in NVD database
Technical Details for CVE-2025-69307
Vulnerability Analysis
This vulnerability is classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command). The Medinik Core WordPress plugin fails to properly sanitize user-supplied input before incorporating it into SQL queries executed against the WordPress database. This allows attackers to inject malicious SQL statements that are processed by the database server.
As a blind SQL injection vulnerability, attackers cannot directly view the output of injected queries. Instead, they must infer information based on the application's behavior, timing differences, or error responses. Despite this limitation, skilled attackers can systematically extract entire database contents using techniques such as boolean-based or time-based blind SQL injection.
The vulnerability requires no authentication and can be exploited remotely over the network without user interaction, significantly increasing its severity and potential for widespread exploitation.
Root Cause
The root cause of this vulnerability lies in inadequate input validation and sanitization within the Medinik Core plugin. User-controlled data is directly concatenated into SQL query strings without proper escaping, parameterization, or use of WordPress's prepared statement APIs (such as $wpdb->prepare()). This allows SQL metacharacters and commands to be interpreted by the database engine rather than treated as literal data values.
Attack Vector
The vulnerability is exploitable via network-based attacks where an unauthenticated remote attacker sends specially crafted HTTP requests to a WordPress site running the vulnerable plugin. The malicious payload contains SQL injection sequences that manipulate database queries to extract sensitive information or modify database contents.
Attackers typically leverage automated tools to exploit blind SQL injection vulnerabilities, sending numerous requests with varying payloads to gradually extract data byte-by-byte based on the application's responses or timing differences.
The blind nature of this SQL injection means attackers observe indirect indicators such as:
- Different response codes or content based on true/false SQL conditions
- Time delays introduced via SQL SLEEP() or BENCHMARK() functions
- Error-based responses that leak database information
For detailed technical information about this vulnerability, refer to the Patchstack security advisory.
Detection Methods for CVE-2025-69307
Indicators of Compromise
- Unusual database query patterns in WordPress logs showing SQL injection attempts
- Unexpected SLEEP(), BENCHMARK(), or WAITFOR commands in query logs
- Abnormally slow page responses indicating time-based SQL injection probes
- Database error messages appearing in application logs or responses
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block SQL injection payloads
- Monitor WordPress access logs for requests containing SQL metacharacters (', ", --, ;, UNION, SELECT)
- Implement database activity monitoring to detect anomalous query patterns
- Use security plugins that scan for known vulnerable plugin versions
Monitoring Recommendations
- Enable verbose database query logging to capture potential SQL injection attempts
- Configure alerting for unusual database access patterns or query execution times
- Monitor for bulk data extraction attempts that may indicate successful exploitation
- Review WordPress plugin inventory regularly to identify outdated or vulnerable components
How to Mitigate CVE-2025-69307
Immediate Actions Required
- Update the Medinik Core plugin to a patched version if one is available from TeconceTheme
- If no patch is available, consider temporarily disabling or removing the vulnerable plugin
- Implement WAF rules to filter SQL injection payloads targeting the affected endpoints
- Review database logs for evidence of prior exploitation attempts
Patch Information
Organizations should check the official TeconceTheme or WordPress plugin repository for an updated version of the Medinik Core plugin that addresses this SQL injection vulnerability. The Patchstack advisory may contain additional remediation guidance.
Until a vendor patch is available, implement compensating controls to reduce exposure to this vulnerability.
Workarounds
- Deploy a Web Application Firewall with SQL injection protection rules enabled
- Restrict access to the WordPress admin and affected plugin endpoints via IP allowlisting
- Consider using WordPress security plugins that provide virtual patching capabilities
- Implement database user privilege restrictions to limit potential impact of SQL injection
# Example: Restrict access to WordPress plugin endpoints via .htaccess
# Add to WordPress root .htaccess file
<IfModule mod_rewrite.c>
RewriteEngine On
# Block requests with common SQL injection patterns
RewriteCond %{QUERY_STRING} (\%27)|(\')|(\-\-)|(\%23)|(#) [NC,OR]
RewriteCond %{QUERY_STRING} (union)(.*)(select) [NC,OR]
RewriteCond %{QUERY_STRING} (select)(.*)(from) [NC]
RewriteRule ^(.*)$ - [F,L]
</IfModule>
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

