CVE-2025-14619
📋 TL;DR
This vulnerability allows remote attackers to execute SQL injection attacks via the 'stud_no' parameter in the login_query.php file of Student File Management System 1.0. Attackers can potentially access, modify, or delete database content without authentication. All users running this specific version of the software are affected.
💻 Affected Systems
- Student File Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, authentication bypass, and potential server takeover via SQL injection leading to remote code execution.
Likely Case
Unauthorized access to student records, grade manipulation, personal information theft, and potential privilege escalation within the application.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only error messages or partial data exposure.
🎯 Exploit Status
The exploit is publicly available and requires minimal technical skill to execute. Remote exploitation without authentication makes this particularly dangerous.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
1. Check vendor website for updates
2. If no patch available, implement workarounds
3. Consider replacing with alternative software
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd parameterized queries and input validation to login_query.php
Modify login_query.php to use prepared statements with PDO or mysqli
Web Application Firewall
allDeploy WAF with SQL injection protection rules
Configure WAF to block SQL injection patterns
🧯 If You Can't Patch
- Isolate the system behind a firewall with strict access controls
- Implement network segmentation to limit database access
🔍 How to Verify
Check if Vulnerable:
Test login_query.php with SQL injection payloads in stud_no parameterCheck Version:
Check software version in admin panel or configuration filesVerify Fix Applied:
Test with SQL injection payloads and verify they're blocked or sanitized📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts with SQL patterns
- Error messages containing SQL syntax
Network Indicators:
- HTTP requests with SQL keywords in parameters
- Unusual traffic patterns to login_query.php
SIEM Query:
source="web_logs" AND (uri="*login_query.php*" AND (param="*stud_no*" AND value="*UNION*" OR value="*SELECT*" OR value="*OR 1=1*"))