CVE-2025-29641
📋 TL;DR
This SQL injection vulnerability in Phpgurukul Vehicle Record Management System v1.0 allows attackers to execute arbitrary SQL commands through the 'searchinputdata' parameter in /index.php. This could lead to unauthorized data access, modification, or deletion. All users running the vulnerable version are affected.
💻 Affected Systems
- Phpgurukul Vehicle Record Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data destruction, and potential server takeover via SQL injection leading to remote code execution.
Likely Case
Unauthorized access to sensitive vehicle records, customer data, and administrative credentials stored in the database.
If Mitigated
Limited impact with proper input validation and database permissions restricting query execution.
🎯 Exploit Status
Exploitation requires understanding of SQL injection techniques and the database schema.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: v1.1 or later
Vendor Advisory: https://phpgurukul.com/
Restart Required: No
Instructions:
1. Download latest version from vendor website. 2. Backup current installation and database. 3. Replace vulnerable files with patched version. 4. Test functionality.
🔧 Temporary Workarounds
Input Validation Filter
allAdd server-side input validation to sanitize searchinputdata parameter
Add parameterized queries or prepared statements in index.php
🧯 If You Can't Patch
- Implement WAF rules to block SQL injection patterns in searchinputdata parameter
- Restrict database user permissions to SELECT only for application database user
🔍 How to Verify
Check if Vulnerable:
Test search functionality with SQL injection payloads like ' OR '1'='1 in searchinputdata parameter
Check Version:
Check version in admin panel or readme.txt file
Verify Fix Applied:
Test with same payloads after patch - should return no results or error message instead of executing SQL
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple failed login attempts after search queries
- Long or malformed search queries in access logs
Network Indicators:
- HTTP requests with SQL keywords in searchinputdata parameter
- Unusual database query patterns from application server
SIEM Query:
source="web_logs" AND (searchinputdata CONTAINS "UNION" OR searchinputdata CONTAINS "SELECT" OR searchinputdata CONTAINS "OR '1'='1")