CVE-2025-13485: Admerc File Management System SQLi Flaw

CVE-2025-13485 Overview

A SQL injection vulnerability has been discovered in itsourcecode Online File Management System version 1.0. This security flaw affects the login functionality through the file /ajax.php?action=login, where improper handling of the Username parameter allows attackers to inject malicious SQL queries. The vulnerability can be exploited remotely without authentication, potentially allowing unauthorized access to the underlying database and sensitive information.

Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data from the database, modify or delete records, and potentially escalate to full system compromise.

Affected Products

Admerc File Management System 1.0.0
itsourcecode Online File Management System 1.0

Discovery Timeline

2025-11-21 - CVE-2025-13485 published to NVD
2025-11-24 - Last updated in NVD database

Technical Details for CVE-2025-13485

Vulnerability Analysis

This vulnerability is classified as SQL Injection (CWE-89) and Improper Neutralization of Special Elements in Output Used by a Downstream Component (CWE-74). The flaw exists in the authentication mechanism of the Online File Management System, specifically within the login processing endpoint at /ajax.php?action=login.

When users submit login credentials, the application fails to properly sanitize or parameterize the Username input before incorporating it into SQL queries. This allows attackers to craft malicious input that alters the intended SQL query structure, enabling unauthorized database operations.

The network-accessible nature of this vulnerability means it can be exploited remotely without requiring any prior authentication or user interaction, increasing the potential attack surface significantly.

Root Cause

The root cause of this vulnerability is the lack of proper input validation and the use of unsanitized user input directly in SQL queries. The application constructs database queries by concatenating user-supplied data without implementing prepared statements, parameterized queries, or adequate input sanitization. This classic SQL injection pattern allows attackers to break out of the intended query context and execute arbitrary SQL commands.

Attack Vector

The attack is executed remotely over the network by sending specially crafted HTTP requests to the /ajax.php?action=login endpoint. An attacker manipulates the Username parameter to include SQL metacharacters and malicious query fragments.

A typical attack scenario involves submitting authentication bypass payloads such as single quotes combined with logical operators (' OR '1'='1) or union-based injection techniques to extract data from other database tables. The attacker does not require any authentication or special privileges to exploit this vulnerability.

For detailed technical analysis of this vulnerability, refer to the GitHub CVE Issue Discussion and VulDB #333085.

Detection Methods for CVE-2025-13485

Indicators of Compromise

Unusual authentication success events without corresponding valid credential submissions
Database error messages in web server logs containing SQL syntax errors
Anomalous HTTP POST requests to /ajax.php?action=login with extended or malformed Username values containing SQL metacharacters
Evidence of data exfiltration or unauthorized database queries in database audit logs

Detection Strategies

Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in login parameters
Monitor application logs for repeated failed authentication attempts followed by successful logins
Implement database activity monitoring to identify unusual query patterns or unauthorized data access
Use intrusion detection systems with signatures for common SQL injection attack payloads

Monitoring Recommendations

Enable detailed logging on the /ajax.php endpoint to capture all incoming request parameters
Configure database auditing to track all queries executed by the web application user account
Set up alerts for authentication anomalies such as logins from unexpected IP addresses or geographic locations
Regularly review web server access logs for requests containing SQL injection indicators (single quotes, semicolons, UNION keywords)

How to Mitigate CVE-2025-13485

Immediate Actions Required

Take the Online File Management System offline or restrict access to trusted networks until a patch is applied
Implement WAF rules to filter SQL injection attempts targeting the login endpoint
Review database logs for evidence of prior exploitation and potential data breach
Reset all user credentials as a precautionary measure

Patch Information

At the time of this writing, no official patch has been released by the vendor. Users should monitor the IT Source Code Blog for security updates and patch announcements. Consider implementing the workarounds below until an official fix is available.

Workarounds

Implement a web application firewall to filter malicious SQL injection payloads before they reach the application
Restrict network access to the application to trusted IP addresses or VPN connections only
If source code access is available, modify the login function to use prepared statements with parameterized queries
Disable the affected login endpoint and implement an alternative authentication mechanism
Deploy input validation to reject usernames containing SQL metacharacters

bash

# Example WAF rule for ModSecurity to block SQL injection in login requests
SecRule ARGS:Username "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in Username parameter',\
    tag:'application-multi',\
    tag:'language-multi',\
    tag:'platform-multi',\
    tag:'attack-sqli'"