CVE-2024-7454
📋 TL;DR
This critical SQL injection vulnerability in SourceCodester Clinics Patient Management System 1.0 allows remote attackers to execute arbitrary SQL commands via the patient_name function in patients.php. It affects all deployments of this specific software version, potentially compromising patient data and system integrity.
💻 Affected Systems
- SourceCodester Clinics Patient Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Full database compromise leading to data theft, manipulation, or deletion; potential remote code execution if database permissions allow.
Likely Case
Unauthorized access to sensitive patient records, including personal and medical data.
If Mitigated
Limited impact if input validation and parameterized queries are enforced, though risk remains if vulnerable code is exposed.
🎯 Exploit Status
Exploit details are publicly disclosed, making attacks straightforward for malicious actors.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Not available
Restart Required: No
Instructions:
No official patch exists; apply workarounds or consider alternative software.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and sanitization for the patient_name parameter in patients.php to block SQL injection attempts.
Modify patients.php to use prepared statements or escape user inputs.
Web Application Firewall (WAF) Rules
allDeploy a WAF with rules to detect and block SQL injection patterns targeting the patient_name parameter.
Configure WAF to filter malicious SQL payloads.
🧯 If You Can't Patch
- Isolate the system from the internet and restrict access to trusted networks only.
- Monitor logs for unusual database queries or access patterns related to patients.php.
🔍 How to Verify
Check if Vulnerable:
Test the patient_name parameter in patients.php with SQL injection payloads; if the system responds with database errors or unexpected data, it is vulnerable.Check Version:
Check the software version in the system's admin panel or configuration files; look for '1.0'.Verify Fix Applied:
After applying workarounds, retest with SQL injection payloads to ensure no database errors or unauthorized data access occurs.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in application logs, especially involving patient_name parameter with suspicious characters like quotes or semicolons.
Network Indicators:
- HTTP requests to patients.php containing SQL injection patterns in parameters.
SIEM Query:
source="web_logs" AND uri="*patients.php*" AND (param="*patient_name*" AND value="*' OR *")