Description
The MDTF – Meta Data and Taxonomies Filter plugin for WordPress is vulnerable to SQL Injection via the 'meta_key' attribute of the 'mdf_select_title' shortcode in all versions up to, and including, 1.3.3.3 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for authenticated attackers, with Contributor-level access and above, to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2024-49303
1. Vulnerability Assessment and Severity Evaluation
The vulnerability identified in the MDTF – Meta Data and Taxonomies Filter plugin for WordPress (EUVD-2024-49303) is an SQL Injection vulnerability. This issue arises due to insufficient escaping of user-supplied parameters and a lack of proper preparation for SQL queries. The vulnerability affects all versions up to and including 1.3.3.3.
Severity Evaluation:
- Base Score: 9.9 (Critical)
- Base Score Version: CVSS 3.1
- Base Score Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
The high base score indicates that this vulnerability is critical. The CVSS vector breakdown shows that the attack vector is network-based (AV:N), the attack complexity is low (AC:L), and the required privileges are low (PR:L). The user interaction is not required (UI:N), and the scope is changed (S:C). The impact on confidentiality, integrity, and availability is high (C:H/I:H/A:H).
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Authenticated Attackers: Contributor-level access and above.
- SQL Injection: Via the 'meta_key' attribute of the 'mdf_select_title' shortcode.
Exploitation Methods:
- SQL Injection: An attacker can inject malicious SQL code into the 'meta_key' attribute, which is not properly escaped or prepared. This allows the attacker to append additional SQL queries to the existing ones, potentially extracting sensitive information from the database.
- Data Exfiltration: The attacker can use the injected SQL queries to extract user data, configuration settings, and other sensitive information stored in the database.
3. Affected Systems and Software Versions
Affected Systems:
- WordPress websites using the MDTF – Meta Data and Taxonomies Filter plugin.
Affected Software Versions:
- All versions up to and including 1.3.3.3.
4. Recommended Mitigation Strategies
Immediate Actions:
- Update the Plugin: Ensure that the MDTF – Meta Data and Taxonomies Filter plugin is updated to a version higher than 1.3.3.3, where the vulnerability has been patched.
- Disable the Plugin: If an update is not immediately available, consider disabling the plugin until a secure version is released.
Long-Term Mitigation:
- Regular Updates: Implement a regular update schedule for all plugins and themes to ensure that the latest security patches are applied.
- Input Validation: Ensure that all user inputs are properly validated and sanitized.
- Prepared Statements: Use prepared statements and parameterized queries to prevent SQL injection attacks.
- Least Privilege: Apply the principle of least privilege to user accounts, limiting access to only what is necessary.
5. Impact on European Cybersecurity Landscape
The vulnerability poses a significant risk to the European cybersecurity landscape, particularly for organizations and individuals using WordPress with the affected plugin. The potential for data breaches and unauthorized access to sensitive information can lead to financial losses, reputational damage, and legal consequences under regulations such as GDPR.
6. Technical Details for Security Professionals
Vulnerability Details:
- Vulnerable Parameter: 'meta_key' attribute of the 'mdf_select_title' shortcode.
- Insufficient Escaping: The user-supplied parameter is not properly escaped, allowing for SQL injection.
- Lack of Prepared Statements: The existing SQL query is not prepared, making it susceptible to injection attacks.
Detection and Monitoring:
- Log Analysis: Monitor database logs for unusual SQL queries and patterns indicative of SQL injection attempts.
- Intrusion Detection Systems (IDS): Implement IDS to detect and alert on suspicious activities related to SQL injection.
- Web Application Firewalls (WAF): Use WAFs to filter out malicious SQL injection attempts.
Patch Analysis:
- Code Review: Conduct a thorough code review of the plugin to identify and fix all instances of insufficient escaping and lack of prepared statements.
- Automated Testing: Use automated tools to test for SQL injection vulnerabilities and ensure that the patch effectively mitigates the issue.
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of SQL injection attacks and protect their sensitive data.