CVE-2025-4906
📋 TL;DR
This critical SQL injection vulnerability in PHPGurukul Notice Board System 1.0 allows attackers to manipulate database queries through the Username parameter in /login.php. Attackers can potentially access, modify, or delete sensitive data in the database. All users running PHPGurukul Notice Board System 1.0 are affected.
💻 Affected Systems
- PHPGurukul Notice Board System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, authentication bypass, and potential remote code execution.
Likely Case
Unauthorized database access allowing extraction of user credentials, sensitive information, and potential privilege escalation.
If Mitigated
Limited impact with proper input validation, parameterized queries, and database permissions restricting damage to non-critical data.
🎯 Exploit Status
Exploit details are publicly available, making this easily exploitable by attackers with basic SQL injection knowledge.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://phpgurukul.com/
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative software or implementing custom fixes with parameterized queries.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and sanitization for the Username parameter in login.php
Edit /login.php to add input validation using PHP filter functions or regex patterns
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules
Configure WAF to block SQL injection patterns in login requests
🧯 If You Can't Patch
- Isolate the system from the internet and restrict access to internal networks only
- Implement network segmentation and strict firewall rules to limit database access
🔍 How to Verify
Check if Vulnerable:
Test the login.php endpoint with SQL injection payloads in the Username parameterCheck Version:
Check the software version in the application interface or configuration filesVerify Fix Applied:
Test with SQL injection payloads to confirm they are properly rejected or sanitized📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts with SQL-like patterns in usernames
Network Indicators:
- HTTP POST requests to /login.php containing SQL keywords in parameters
SIEM Query:
source="web_logs" AND uri="/login.php" AND (username CONTAINS "' OR" OR username CONTAINS "UNION" OR username CONTAINS "SELECT")