CVE-2025-11074: Project Monitoring System SQLi Vulnerability

CVE-2025-11074 Overview

A SQL injection vulnerability has been identified in Fabian Project Monitoring System version 1.0. The vulnerability exists in the /login.php file, where the username and password parameters are not properly sanitized before being used in SQL queries. This flaw allows remote attackers to manipulate SQL queries by injecting malicious input through the authentication form, potentially compromising the entire database and application.

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 gain unauthorized access to the underlying system.

Affected Products

• Fabian Project Monitoring System 1.0

Discovery Timeline

• 2025-09-27 - CVE-2025-11074 published to NVD
• 2025-10-23 - Last updated in NVD database

Technical Details for CVE-2025-11074

Vulnerability Analysis

This vulnerability represents a classic SQL injection flaw in a web application's authentication mechanism. The /login.php file fails to properly validate and sanitize user-supplied input in the username and password parameters before incorporating them into SQL queries. This lack of input validation allows attackers to inject arbitrary SQL commands that are then executed by the database server with the same privileges as the application.

The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), which encompasses injection vulnerabilities where user input is not properly neutralized before being processed by an interpreter or downstream component.

Root Cause

The root cause of this vulnerability is inadequate input validation and the absence of parameterized queries or prepared statements in the authentication logic. The application directly concatenates user-supplied input into SQL query strings without proper sanitization, escaping, or the use of secure query methods. This architectural weakness allows special SQL characters and commands to be interpreted as part of the query structure rather than as literal data values.

Attack Vector

The attack can be initiated remotely over the network without requiring any authentication or user interaction. An attacker can craft malicious input containing SQL syntax in the username or password fields of the login form. Common attack payloads might include:

• Authentication bypass using conditions that always evaluate to true (e.g., ' OR '1'='1)
• UNION-based injection to extract data from other database tables
• Time-based blind injection to infer database contents
• Stacked queries to execute additional SQL statements including data manipulation or system commands

The vulnerability has been publicly disclosed with exploit details available in the GitHub SQL Injection Details repository, increasing the risk of exploitation.

Detection Methods for CVE-2025-11074

Indicators of Compromise

• Unusual or malformed authentication requests to /login.php containing SQL syntax characters such as single quotes, double dashes, semicolons, or SQL keywords
• Database error messages exposed in application responses indicating SQL parsing failures
• Unexpected database queries in logs containing UNION, SELECT, or other SQL commands within user input fields
• Authentication successes for accounts that should not exist or failed login attempts with suspicious patterns

Detection Strategies

• Implement web application firewall (WAF) rules to detect and block SQL injection patterns in HTTP requests targeting /login.php
• Enable detailed logging on the database server to capture all queries, particularly those originating from the authentication module
• Deploy intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
• Monitor application error logs for database-related exceptions that may indicate injection attempts

Monitoring Recommendations

• Set up real-time alerting for requests containing SQL metacharacters in POST parameters to the login endpoint
• Implement anomaly detection for authentication patterns, including unusual login success rates or geographic anomalies
• Review database query logs periodically for signs of data exfiltration or unauthorized SELECT statements
• Monitor for changes to sensitive database tables that could indicate successful exploitation

How to Mitigate CVE-2025-11074

Immediate Actions Required

• Restrict network access to the Project Monitoring System to trusted IP addresses only until patching is complete
• Implement a web application firewall with SQL injection protection rules in front of the application
• Disable or replace the vulnerable /login.php with a secure authentication mechanism if possible
• Review database logs and application logs for signs of prior exploitation

Patch Information

As of the last update on 2025-10-23, no official vendor patch has been released for this vulnerability. The application is developed by code-projects.org, and users should monitor the Code Projects Resource Hub for updates. Given the nature of code-projects applications as educational resources, organizations using this software in production should consider migrating to a more actively maintained solution or implementing the security fixes independently.

For technical details about the vulnerability, refer to VulDB #326114.

Workarounds

• Implement prepared statements or parameterized queries in the /login.php file to prevent SQL injection
• Deploy input validation that rejects or properly escapes SQL metacharacters in the username and password fields
• Place the application behind a reverse proxy with SQL injection filtering capabilities
• Restrict database user privileges to limit the impact of successful SQL injection attacks

# Example: Apache mod_security rule to block SQL injection attempts
# Add to your Apache configuration or .htaccess file
SecRule ARGS "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Detected'"

# Alternatively, restrict access to the login page by IP
<Location /login.php>
    Require ip 192.168.1.0/24
</Location>