CVE-2025-3220
📋 TL;DR
This critical SQL injection vulnerability in PHPGurukul e-Diary Management System 1.0 allows remote attackers to execute arbitrary SQL commands via the Category parameter in /dashboard.php. Organizations using this software are affected, potentially exposing sensitive database information.
💻 Affected Systems
- PHPGurukul e-Diary Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data manipulation, or full system takeover via SQL injection to RCE chaining
Likely Case
Unauthorized access to sensitive student/teacher data, grade manipulation, or system disruption
If Mitigated
Limited impact with proper input validation and database permissions restricting damage to non-critical data
🎯 Exploit Status
SQL injection via Category parameter is straightforward; exploit details are publicly available on GitHub
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://phpgurukul.com/
Restart Required: No
Instructions:
No official patch available. Consider implementing input validation and parameterized queries manually or migrating to alternative software.
🔧 Temporary Workarounds
Input Validation Filter
allAdd server-side validation to sanitize Category parameter input
Modify /dashboard.php to validate Category parameter using PHP filter functions like filter_var() or prepared statements
WAF Rule Implementation
allDeploy web application firewall rules to block SQL injection patterns
Add WAF rule to block SQL keywords in Category parameter: Category.*(SELECT|UNION|INSERT|UPDATE|DELETE|DROP|CREATE|ALTER)
🧯 If You Can't Patch
- Isolate the e-Diary system behind a reverse proxy with strict input filtering
- Implement network segmentation to limit database access from the application server
🔍 How to Verify
Check if Vulnerable:
Test /dashboard.php with SQL injection payloads in Category parameter (e.g., Category=1' OR '1'='1)Check Version:
Check system version in admin panel or review source code for version markersVerify Fix Applied:
Verify that SQL injection attempts no longer succeed and return proper error handling📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple failed login attempts following SQL injection patterns
- Unexpected database queries from dashboard.php
Network Indicators:
- HTTP requests to /dashboard.php with SQL keywords in parameters
- Unusual database traffic patterns from application server
SIEM Query:
source="web_logs" AND uri="/dashboard.php" AND (param="*SELECT*" OR param="*UNION*" OR param="*OR '1'='1*")