CVE-2024-10987
📋 TL;DR
This critical SQL injection vulnerability in E-Health Care System 1.0 allows remote attackers to execute arbitrary SQL commands via manipulated parameters in the /Doctor/user_appointment.php file. Healthcare organizations using this software are affected, potentially exposing sensitive patient data and system integrity.
💻 Affected Systems
- code-projects E-Health Care System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to patient data theft, system takeover, or data destruction
Likely Case
Unauthorized access to patient records, appointment manipulation, and potential privilege escalation
If Mitigated
Limited impact with proper input validation and database permissions
🎯 Exploit Status
Exploit details publicly available on GitHub, making attacks easy to replicate
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
No official patch available. Consider migrating to supported software or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd parameter validation and sanitization to user_appointment.php
Edit /Doctor/user_appointment.php to implement prepared statements and input validation
Web Application Firewall
allDeploy WAF with SQL injection rules
Configure WAF to block SQL injection patterns
🧯 If You Can't Patch
- Isolate the system behind a firewall with strict access controls
- Implement database-level restrictions and minimal privilege accounts
🔍 How to Verify
Check if Vulnerable:
Test /Doctor/user_appointment.php endpoint with SQL injection payloads in schedule_id, schedule_date, schedule_day, start_time, end_time, or booking parametersCheck Version:
Check software version in system configuration or about pageVerify Fix Applied:
Verify that SQL injection attempts no longer succeed and prepared statements are implemented📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts
- Unexpected parameter values in web server logs
Network Indicators:
- SQL keywords in HTTP POST parameters
- Unusual database connection patterns
SIEM Query:
source="web_server" AND ("schedule_id" OR "schedule_date" OR "schedule_day" OR "start_time" OR "end_time" OR "booking") AND ("UNION" OR "SELECT" OR "INSERT" OR "DELETE" OR "UPDATE" OR "--" OR "' OR '1'='1")