CVE-2025-60307
📋 TL;DR
CVE-2025-60307 is a critical SQL injection vulnerability in code-projects Computer Laboratory System 1.0 that allows authentication bypass via a universal password payload in the login form. Attackers can gain unauthorized access to the system without valid credentials. All deployments of version 1.0 are affected.
💻 Affected Systems
- code-projects Computer Laboratory System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete system compromise allowing attackers to gain administrative access, exfiltrate sensitive laboratory data, manipulate records, and potentially pivot to other systems.
Likely Case
Unauthorized access to the laboratory system leading to data theft, record manipulation, and privilege escalation within the application.
If Mitigated
Limited impact with proper network segmentation, strong authentication controls, and monitoring detecting anomalous login attempts.
🎯 Exploit Status
Exploitation requires no authentication and uses simple SQL injection payloads. Public proof-of-concept demonstrates the universal password bypass technique.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: Not available
Restart Required: No
Instructions:
1. Check vendor website for updates
2. If no patch available, implement workarounds
3. Consider migrating to alternative software
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns in login requests
Input Validation
allImplement server-side input validation to reject SQL injection patterns in password field
🧯 If You Can't Patch
- Isolate the system behind a firewall with strict access controls
- Implement multi-factor authentication as an additional layer
🔍 How to Verify
Check if Vulnerable:
Attempt login with SQL injection payload like ' OR '1'='1 in password fieldCheck Version:
Check application version in admin panel or configuration filesVerify Fix Applied:
Test login with SQL injection payloads; successful login should be denied📡 Detection & Monitoring
Log Indicators:
- Failed login attempts with SQL keywords in password field
- Successful logins from unusual IP addresses
- Multiple login attempts with different usernames from same source
Network Indicators:
- HTTP POST requests to login endpoint containing SQL injection patterns
- Unusual authentication traffic patterns
SIEM Query:
source="web_logs" AND (url_path="/login" OR url_path="/auth") AND (message LIKE "%OR%" OR message LIKE "%'--%" OR message LIKE "%UNION%" OR message LIKE "%SELECT%")