CVE-2025-11074
📋 TL;DR
This SQL injection vulnerability in Project Monitoring System 1.0 allows attackers to execute arbitrary SQL commands through the login form. Attackers can potentially bypass authentication, access sensitive data, or compromise the database server. All deployments of Project Monitoring System 1.0 with the vulnerable login.php file are affected.
💻 Affected Systems
- code-projects Project Monitoring System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, privilege escalation, and potential remote code execution on the database server.
Likely Case
Authentication bypass allowing unauthorized access to the monitoring system, followed by data exfiltration from the database.
If Mitigated
Failed login attempts logged, but no successful exploitation due to input validation or WAF protection.
🎯 Exploit Status
Exploit details are publicly available on GitHub. The vulnerability requires no authentication and can be exploited with basic SQL injection techniques.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
No official patch available. Consider implementing workarounds or migrating to a supported alternative.
🔧 Temporary Workarounds
Input Validation and Parameterized Queries
allModify login.php to use prepared statements with parameterized queries instead of concatenating user input into SQL statements.
Replace vulnerable SQL queries with prepared statements using PDO or mysqli with bound parameters
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules to block malicious login attempts.
Configure WAF rules to detect and block SQL injection patterns in login requests
🧯 If You Can't Patch
- Isolate the system behind a firewall with strict access controls and monitor all login attempts
- Implement network segmentation to limit database server access only to necessary systems
🔍 How to Verify
Check if Vulnerable:
Test the login form with SQL injection payloads like ' OR '1'='1 in username/password fields and observe if authentication is bypassed or errors reveal SQL details.Check Version:
Check the software version in the application interface or review the source code files for version indicators.Verify Fix Applied:
After implementing parameterized queries, test with the same SQL injection payloads to confirm they no longer bypass authentication or cause SQL errors.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in login attempt logs
- Multiple failed login attempts with SQL keywords
- Successful logins from unexpected IP addresses
Network Indicators:
- HTTP POST requests to /login.php containing SQL injection patterns
- Unusual database query patterns from the application server
SIEM Query:
source="web_logs" AND uri="/login.php" AND (request_body LIKE "%OR%" OR request_body LIKE "%UNION%" OR request_body LIKE "%SELECT%")