CVE-2025-1859
📋 TL;DR
A critical SQL injection vulnerability exists in PHPGurukul News Portal 4.1's login.php file, allowing attackers to manipulate database queries via the 'id' parameter. This enables unauthorized data access, modification, or deletion. All users running PHPGurukul News Portal 4.1 with the vulnerable login.php file are affected.
💻 Affected Systems
- PHPGurukul News Portal
📦 What is this software?
News Portal by Phpgurukul
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, privilege escalation, or full system takeover.
Likely Case
Unauthorized access to sensitive user data, session hijacking, or website defacement.
If Mitigated
Limited impact with proper input validation, parameterized queries, and WAF protection in place.
🎯 Exploit Status
Exploit details are publicly available on GitHub, making attacks easy to execute.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://phpgurukul.com/
Restart Required: No
Instructions:
No official patch available. Consider upgrading to a newer version if available, or apply workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and sanitization for the 'id' parameter in login.php.
Modify login.php to use prepared statements with parameterized queries.
Web Application Firewall (WAF) Rules
allDeploy WAF rules to block SQL injection attempts targeting login.php.
Add rule to block requests with SQL keywords in 'id' parameter.
🧯 If You Can't Patch
- Restrict access to login.php using IP whitelisting or authentication.
- Monitor and log all access attempts to login.php for suspicious activity.
🔍 How to Verify
Check if Vulnerable:
Test login.php with SQL injection payloads in the 'id' parameter (e.g., ' OR '1'='1).Check Version:
Check the software version in the admin panel or configuration files.Verify Fix Applied:
Verify that SQL injection attempts no longer succeed and that input is properly sanitized.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in application logs
- Multiple failed login attempts with SQL payloads
Network Indicators:
- HTTP requests to login.php with SQL keywords in parameters
SIEM Query:
source="web_logs" AND url="*login.php*" AND (param="*id=*OR*" OR param="*id=*UNION*" OR param="*id=*SELECT*")