CVE-2025-4484: Gym Management System SQL Injection Flaw

CVE-2025-4484 Overview

A critical SQL injection vulnerability has been identified in the Admerc Gym Management System version 1.0. The vulnerability exists in the /ajax.php?action=delete_user endpoint, where improper sanitization of the ID parameter allows attackers to inject malicious SQL queries. This flaw can be exploited remotely without authentication, potentially allowing unauthorized access to sensitive database contents, data manipulation, and system compromise.

Critical Impact

Unauthenticated attackers can remotely execute arbitrary SQL commands through the vulnerable ID parameter, potentially leading to unauthorized data access, modification, or deletion of user records in the gym management database.

Affected Products

• Admerc Gym Management System 1.0

Discovery Timeline

• 2025-05-09 - CVE-2025-4484 published to NVD
• 2025-12-22 - Last updated in NVD database

Technical Details for CVE-2025-4484

Vulnerability Analysis

This SQL injection vulnerability resides in the user deletion functionality of the Gym Management System. The application fails to properly sanitize user-supplied input in the ID parameter before incorporating it into SQL queries. When an attacker submits a crafted request to the /ajax.php?action=delete_user endpoint with a malicious ID value, the unsanitized input is directly concatenated into the database query, allowing execution of arbitrary SQL statements.

The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), indicating that the application does not adequately filter or encode special characters that have significance in SQL syntax. This is a common and dangerous class of web application vulnerabilities that can lead to complete database compromise.

Root Cause

The root cause of this vulnerability is insufficient input validation and the absence of parameterized queries or prepared statements in the application's database interaction layer. The ID parameter is directly concatenated into SQL statements without proper sanitization, allowing attackers to break out of the intended query structure and inject their own SQL commands. The application lacks the use of modern secure coding practices such as:

• Parameterized queries or prepared statements
• Input validation and whitelisting
• Proper escaping of special characters
• Principle of least privilege for database accounts

Attack Vector

The attack can be initiated remotely over the network without requiring authentication. An attacker sends a specially crafted HTTP request to the /ajax.php endpoint with the action=delete_user parameter and a malicious ID value containing SQL injection payloads. The attack does not require user interaction, making it particularly dangerous for internet-facing deployments of this gym management software.

Typical exploitation scenarios include:

• Data Exfiltration: Using UNION-based or blind SQL injection techniques to extract sensitive user data, credentials, and personal information from the database
• Authentication Bypass: Manipulating queries to bypass login mechanisms
• Data Manipulation: Modifying or deleting user records and other critical data
• Privilege Escalation: Gaining administrative access by manipulating user roles in the database

The vulnerability is documented in the GitHub CVE Issue Discussion and tracked in VulDB #308199.

Detection Methods for CVE-2025-4484

Indicators of Compromise

• Unusual or malformed requests to /ajax.php?action=delete_user containing SQL syntax characters such as single quotes ('), double dashes (--), or semicolons (;)
• Database error messages in application logs indicating SQL syntax errors
• Unexpected data access patterns or bulk data extraction from the database
• Authentication logs showing suspicious login attempts or unauthorized access to administrative functions

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP requests
• Monitor application logs for requests containing SQL injection signatures targeting the /ajax.php endpoint
• Deploy database activity monitoring to identify unusual query patterns or unauthorized data access
• Use intrusion detection systems (IDS) with signatures for SQL injection attacks

Monitoring Recommendations

• Enable detailed logging for all requests to /ajax.php and related administrative endpoints
• Configure alerts for database queries with unusual syntax or error conditions
• Monitor for abnormal data access volumes or off-hours activity in the gym management database
• Implement regular security scanning to detect SQL injection vulnerabilities in web applications

How to Mitigate CVE-2025-4484

Immediate Actions Required

• Restrict access to the Gym Management System to trusted networks only until a patch is available
• Implement a Web Application Firewall (WAF) with rules to block SQL injection attempts
• Review and audit database access logs for evidence of exploitation
• Consider temporarily disabling the user deletion functionality if feasible

Patch Information

No official patch information is available from the vendor at this time. Organizations using Admerc Gym Management System 1.0 should monitor the IT Source Code website for security updates. Given the public disclosure of this vulnerability, applying mitigations immediately is strongly recommended.

Workarounds

• Deploy a reverse proxy or WAF in front of the application to filter malicious requests
• Implement network-level access controls to limit exposure of the vulnerable endpoint
• If source code access is available, implement prepared statements or parameterized queries for all database operations
• Apply the principle of least privilege to the database user account used by the application to limit the impact of potential exploitation

# Example WAF rule to block SQL injection in ID parameter
# ModSecurity rule format
SecRule ARGS:ID "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected in ID parameter',\
    log,\
    auditlog"