CVE-2025-8989: Covid19 Testing Management SQL Injection

CVE-2025-8989 Overview

A SQL injection vulnerability has been identified in SourceCodester COVID 19 Testing Management System version 1.0. This issue affects the /edit-phlebotomist.php file where the manipulation of the mobilenumber argument enables SQL injection attacks. The vulnerability can be exploited remotely, and the exploit has been publicly disclosed, increasing the risk of active exploitation. Other parameters within the application may also be affected.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete database compromise. Healthcare testing management systems contain sensitive patient information, making this vulnerability particularly concerning.

Affected Products

• Unyasoft Covid19 Testing Management System 1.0
• SourceCodester COVID 19 Testing Management System 1.0

Discovery Timeline

• 2025-08-15 - CVE CVE-2025-8989 published to NVD
• 2025-08-18 - Last updated in NVD database

Technical Details for CVE-2025-8989

Vulnerability Analysis

This SQL injection vulnerability exists within the edit-phlebotomist.php file of the COVID 19 Testing Management System. The application fails to properly sanitize user-supplied input in the mobilenumber parameter before incorporating it into SQL queries. This allows attackers to inject arbitrary SQL commands that will be executed by the underlying database engine.

The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), which encompasses injection flaws where user input is not properly validated before being passed to an interpreter.

Healthcare management systems like this one typically store sensitive patient information including personal identifiers, test results, and medical records. Successful exploitation could lead to unauthorized access to this protected health information, data manipulation, or service disruption.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the edit-phlebotomist.php file. The mobilenumber parameter is directly concatenated into SQL statements without proper sanitization or the use of prepared statements. This classic SQL injection pattern allows malicious SQL code to be injected through user-controllable input fields.

Attack Vector

The attack can be initiated remotely over the network without requiring any authentication or user interaction. An attacker can craft malicious HTTP requests to the /edit-phlebotomist.php endpoint with SQL injection payloads in the mobilenumber parameter. The injected SQL code is then executed with the privileges of the database user configured for the application.

The vulnerability allows for various SQL injection techniques including:

• Union-based injection to extract data from other database tables
• Boolean-based blind injection to enumerate database contents
• Time-based blind injection when direct output is not available
• Stacked queries (if supported by the database driver) for data modification or deletion

For technical details and proof-of-concept information, refer to the GitHub Issue on CVE and VulDB entry #319985.

Detection Methods for CVE-2025-8989

Indicators of Compromise

• Unusual SQL error messages in web server logs originating from /edit-phlebotomist.php
• HTTP requests containing SQL keywords (UNION, SELECT, INSERT, DROP) in the mobilenumber parameter
• Anomalous database queries with unexpected syntax patterns
• Unauthorized data access or modifications in the patient database

Detection Strategies

• Implement web application firewall (WAF) rules to detect SQL injection patterns in HTTP requests targeting /edit-phlebotomist.php
• Monitor database logs for suspicious query patterns, especially those originating from the web application user account
• Deploy intrusion detection systems (IDS) with signatures for common SQL injection payloads
• Review application logs for requests with encoded or obfuscated SQL syntax in the mobilenumber field

Monitoring Recommendations

• Enable detailed logging for all requests to the /edit-phlebotomist.php endpoint
• Configure database audit logging to track query execution and data access patterns
• Set up alerts for database errors that may indicate injection attempts
• Monitor for unusual outbound data transfers that could indicate data exfiltration

How to Mitigate CVE-2025-8989

Immediate Actions Required

• Restrict network access to the COVID 19 Testing Management System to trusted IP ranges only
• Implement a web application firewall (WAF) with SQL injection prevention rules
• Review and audit all user accounts with access to the affected system
• Consider taking the application offline if it contains sensitive data and cannot be adequately protected

Patch Information

As of the last update on 2025-08-18, no official vendor patch has been released for this vulnerability. The application is distributed through SourceCodester, and users should monitor for security updates. Given the nature of SourceCodester applications as educational code samples, a patch may not be forthcoming.

Organizations using this system in production environments should prioritize implementing the workarounds below and consider migrating to a more secure, actively maintained healthcare management solution.

Workarounds

• Implement prepared statements/parameterized queries for all database interactions in edit-phlebotomist.php
• Add strict input validation for the mobilenumber parameter, allowing only numeric characters
• Deploy a WAF configured to block SQL injection attempts
• Apply the principle of least privilege to the database user account used by the application
• Isolate the application server from direct internet access using network segmentation

# Example Apache ModSecurity rule to block SQL injection attempts
SecRule ARGS:mobilenumber "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attempt Detected in mobilenumber parameter',\
    logdata:'Matched Data: %{TX.0}',\
    severity:'CRITICAL'"