CVE-2025-15198
📋 TL;DR
CVE-2025-15198 is a SQL injection vulnerability in the College Notes Uploading System 1.0 that allows attackers to manipulate database queries through the User parameter in login.php. This can lead to unauthorized data access, modification, or system compromise. All users running the vulnerable version of this software are affected.
💻 Affected Systems
- College Notes Uploading System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise allowing data theft, deletion, or remote code execution leading to full system takeover.
Likely Case
Unauthorized access to sensitive student/college data, credential theft, or database manipulation.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only error messages exposed.
🎯 Exploit Status
Exploit details are publicly available on GitHub. SQL injection via User parameter is typically straightforward to exploit.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
No official patch available. Consider implementing input validation and parameterized queries manually.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd server-side validation to sanitize User parameter input before processing.
Modify login.php to use prepared statements with parameterized queries
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns targeting login.php.
Configure WAF to detect and block SQL injection attempts on /login.php
🧯 If You Can't Patch
- Isolate the system from internet access and restrict to internal network only
- Implement strict network segmentation and monitor all access to the vulnerable endpoint
🔍 How to Verify
Check if Vulnerable:
Test login.php with SQL injection payloads in User parameter (e.g., ' OR '1'='1). Monitor for database errors or unexpected behavior.Check Version:
Check system documentation or source code for version information. No standard command available.Verify Fix Applied:
Retest with SQL injection payloads after implementing fixes. Verify no database errors or unauthorized access occurs.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in login attempts
- Multiple failed login attempts with SQL-like patterns
- Database error messages in application logs
Network Indicators:
- HTTP requests to /login.php containing SQL keywords (UNION, SELECT, etc.)
- Unusual traffic patterns to login endpoint
SIEM Query:
source="web_logs" AND url="/login.php" AND (request CONTAINS "UNION" OR request CONTAINS "SELECT" OR request CONTAINS "OR '1'='1")