CVE-2025-14068
Time-Based SQL Injection in WPNakama WordPress Plugin Allows Data Exposure
Publication date: 2025-12-12
Last updated on: 2025-12-12
Assigner: Wordfence
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| wordfence | wpnakama | * |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-89 | The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
This vulnerability is a time-based SQL Injection in the WPNakama WordPress plugin (versions up to 0.6.3). It occurs because the 'order_by' parameter is not properly escaped or prepared in SQL queries, allowing unauthenticated attackers to inject additional SQL commands. This can be exploited to extract sensitive information from the database.
How can this vulnerability impact me? :
The vulnerability allows unauthenticated attackers to extract sensitive information from the database by injecting SQL queries. This can lead to data breaches, exposure of confidential data, and potential compromise of the affected WordPress site.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The vulnerability allows unauthenticated attackers to perform time-based SQL Injection to extract sensitive information from the database. This unauthorized data exposure could lead to violations of data protection regulations such as GDPR and HIPAA, which require safeguarding personal and sensitive data against unauthorized access and breaches. Therefore, exploitation of this vulnerability may result in non-compliance with these standards due to potential data leakage. [2, 3]
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by monitoring for unusual or suspicious HTTP requests targeting the 'order_by' parameter in the WPNakama plugin's REST API endpoints, especially those attempting to inject SQL code. Since the vulnerability involves time-based SQL injection via the 'order_by' parameter, you can look for requests with unusual or unexpected SQL syntax in this parameter. For example, using network monitoring tools or web server logs, search for requests to endpoints like '/wp-json/wpnakama/v1/boards' with 'order_by' parameters containing SQL keywords or payloads. Example commands to detect such attempts include: 1. Using grep on web server logs: grep -i 'order_by=.*select' /var/log/apache2/access.log 2. Using tcpdump to capture HTTP traffic and filter for suspicious 'order_by' parameters: tcpdump -A -s 0 'tcp port 80 and (((ip[2:2] - ((ip[0]&0xf)<<2)) - ((tcp[12]&0xf0)>>2)) != 0)' | grep 'order_by=' 3. Using a web application firewall (WAF) or intrusion detection system (IDS) with rules to detect SQL injection patterns in query parameters. These methods help identify exploitation attempts by unauthenticated attackers trying to append SQL queries via the vulnerable parameter. [2, 3]
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include: 1. Update the WPNakama plugin to a version later than 0.6.3 where the vulnerability is fixed (e.g., version 0.8.0 or later). 2. If updating is not immediately possible, restrict access to the vulnerable REST API endpoints by implementing access controls such as IP whitelisting or requiring authentication. 3. Employ a Web Application Firewall (WAF) to block requests containing suspicious SQL injection patterns, especially targeting the 'order_by' parameter. 4. Monitor logs for exploitation attempts and block offending IP addresses. 5. Review and apply any security patches or updates provided by the plugin maintainers. These steps help prevent unauthenticated attackers from exploiting the time-based SQL injection vulnerability to extract sensitive database information. [1, 2, 3]