CVE-2023-31519
📋 TL;DR
This SQL injection vulnerability in Pharmacy Management System v1.0 allows attackers to execute arbitrary SQL commands via the email parameter during login. This can lead to authentication bypass, data theft, or complete system compromise. Any organization using this specific software version is affected.
💻 Affected Systems
- Pharmacy Management System
📦 What is this software?
Pharmacy Management System by Pharmacy Management System Project
⚠️ Risk & Real-World Impact
Worst Case
Complete system takeover, extraction of all sensitive pharmacy data (patient records, prescriptions, financial information), and potential ransomware deployment.
Likely Case
Authentication bypass leading to unauthorized access, data exfiltration of patient records and prescription data, and potential manipulation of pharmacy operations.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only error messages or failed login attempts.
🎯 Exploit Status
SQL injection via login endpoint requires no authentication. Public proof-of-concept demonstrates exploitation.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None known
Restart Required: No
Instructions:
No official patch available. Implement parameterized queries or input validation in login_core.php.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF with SQL injection rules to block malicious requests
Input Validation
allAdd server-side validation to reject malformed email inputs
🧯 If You Can't Patch
- Isolate system on internal network with strict firewall rules
- Implement network segmentation and monitor for SQL injection attempts
🔍 How to Verify
Check if Vulnerable:
Test login endpoint with SQL injection payloads like ' OR '1'='1 in email parameterCheck Version:
Check software version in admin panel or configuration filesVerify Fix Applied:
Verify parameterized queries are implemented and test with SQL injection payloads📡 Detection & Monitoring
Log Indicators:
- SQL syntax errors in web logs
- Unusual login attempts with special characters
- Multiple failed login attempts from single IP
Network Indicators:
- HTTP POST requests to login_core.php with SQL keywords
- Unusual database query patterns
SIEM Query:
source="web_logs" AND (url="*login_core.php*" AND (email="*OR*" OR email="*UNION*" OR email="*SELECT*"))