CVE-2025-10599
📋 TL;DR
This CVE describes an SQL injection vulnerability in the itsourcecode Web-Based Internet Laboratory Management System 1.0. Attackers can manipulate the user_email parameter during authentication to execute arbitrary SQL commands. Organizations using this specific software version are affected.
💻 Affected Systems
- itsourcecode Web-Based Internet Laboratory Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, privilege escalation, and potential system takeover.
Likely Case
Unauthorized access to sensitive laboratory data, user credential theft, and potential data manipulation.
If Mitigated
Limited impact with proper input validation, parameterized queries, and network segmentation in place.
🎯 Exploit Status
Exploit targets the authentication endpoint, making it accessible without credentials.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://itsourcecode.com/
Restart Required: No
Instructions:
No official patch available. Consider implementing workarounds or replacing the software.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd server-side validation to sanitize user_email input before processing.
Modify login.php to use prepared statements with parameterized queries for SQL execution.
Web Application Firewall (WAF) Rules
allDeploy WAF rules to block SQL injection patterns targeting the login endpoint.
Add WAF rule: Block requests containing SQL keywords (SELECT, UNION, etc.) in user_email parameter.
🧯 If You Can't Patch
- Isolate the system on a segmented network with strict access controls.
- Implement strong authentication mechanisms and monitor for suspicious login attempts.
🔍 How to Verify
Check if Vulnerable:
Test the login endpoint with SQL injection payloads in the user_email parameter and observe database errors or unexpected behavior.Check Version:
Check the software version in the system's admin panel or configuration files.Verify Fix Applied:
After applying workarounds, retest with SQL injection payloads to ensure they are blocked or sanitized.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in web server logs
- Multiple failed login attempts with SQL-like patterns in user_email
Network Indicators:
- HTTP POST requests to login.php with SQL keywords in parameters
SIEM Query:
source="web_logs" AND (url="*/login.php" AND (param="*user_email*SELECT*" OR param="*user_email*UNION*"))