CVE-2025-2054
📋 TL;DR
This critical SQL injection vulnerability in Blood Bank Management System 1.0 allows remote attackers to execute arbitrary SQL commands via the state_id parameter in /admin/edit_state.php. This could lead to unauthorized data access, modification, or deletion. Organizations using this specific version of the blood bank management software are affected.
💻 Affected Systems
- Blood Bank Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including sensitive medical data exfiltration, system takeover, and potential ransomware deployment
Likely Case
Unauthorized access to patient records, donor information, and administrative data with potential data manipulation
If Mitigated
Limited impact due to proper input validation, parameterized queries, and network segmentation
🎯 Exploit Status
Public exploit available on GitHub; SQL injection via GET/POST parameter manipulation
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative software or implementing custom fixes with parameterized queries.
🔧 Temporary Workarounds
Input Validation Filter
allAdd server-side validation to only accept numeric values for state_id parameter
Add PHP validation: if(!is_numeric($_GET['state_id'])) { die('Invalid input'); }
WAF Rule Implementation
allDeploy web application firewall rules to block SQL injection patterns
ModSecurity rule: SecRule ARGS:state_id "@detectSQLi" "id:1001,phase:2,deny,status:403"
🧯 If You Can't Patch
- Isolate the system in a separate network segment with strict firewall rules
- Implement database monitoring and alerting for unusual SQL queries
🔍 How to Verify
Check if Vulnerable:
Test /admin/edit_state.php?state_id=1' OR '1'='1 and observe SQL error or unexpected behaviorCheck Version:
Check software version in admin panel or readme filesVerify Fix Applied:
Test with malicious inputs and verify proper error handling without SQL errors📡 Detection & Monitoring
Log Indicators:
- SQL syntax errors in web server logs
- Unusual database queries from web application user
- Multiple failed parameter validation attempts
Network Indicators:
- HTTP requests with SQL keywords in state_id parameter
- Unusual database connection patterns from web server
SIEM Query:
source="web_logs" AND ("state_id" AND ("UNION" OR "SELECT" OR "OR '1'='1"))