CVE-2025-25914
📋 TL;DR
A SQL injection vulnerability in Online Exam Mastering System v1.0 allows remote attackers to execute arbitrary SQL commands via the fid parameter. This can lead to unauthorized data access, modification, or deletion. All systems running this specific version are affected.
💻 Affected Systems
- Online Exam Mastering System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data destruction, and potential remote code execution on the underlying server.
Likely Case
Unauthorized access to exam data, student records, and administrative credentials leading to data breach and system manipulation.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing successful exploitation.
🎯 Exploit Status
The GitHub reference contains exploit details. SQL injection via fid parameter is straightforward to exploit.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Unknown
Restart Required: No
Instructions:
No official patch available. Implement parameterized queries and input validation in the application code.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection rules to block malicious requests.
Input Validation Filter
allAdd server-side validation to reject suspicious fid parameter values.
🧯 If You Can't Patch
- Isolate the system from the internet and restrict access to authorized users only.
- Implement strict network segmentation and monitor all database queries for anomalies.
🔍 How to Verify
Check if Vulnerable:
Test the fid parameter with SQL injection payloads (e.g., fid=1' OR '1'='1) and observe database errors or unexpected behavior.Check Version:
Check application documentation or configuration files for version information.Verify Fix Applied:
Retest with SQL injection payloads after implementing fixes; ensure no database errors or unauthorized data access occurs.📡 Detection & Monitoring
Log Indicators:
- SQL syntax errors in application logs
- Unusual database query patterns from web server IPs
Network Indicators:
- HTTP requests with SQL keywords in fid parameter
- Abnormal database response sizes
SIEM Query:
source="web_logs" AND (fid="*'*" OR fid="*OR*" OR fid="*UNION*" OR fid="*SELECT*" OR fid="*--*")