CVE-2023-5004

9.8 CRITICAL

📋 TL;DR

This CVE describes an SQL injection vulnerability in a hospital management system that allows attackers to bypass authentication. Attackers can exploit this to gain unauthorized access to sensitive patient data and system functionality. Any organization using the vulnerable version of this PHP-based hospital management system is affected.

💻 Affected Systems

Products:
  • Hospital Management System in PHP
Versions: Version 378c157
Operating Systems: Any OS running PHP
Default Config Vulnerable: ⚠️ Yes
Notes: The vulnerability exists in the authentication mechanism and affects all installations of this specific version.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete system compromise allowing unauthorized access to all patient records, modification of medical data, and potential ransomware deployment on hospital systems.

🟠

Likely Case

Unauthorized access to patient health information (PHI), potential data theft, and manipulation of hospital operations data.

🟢

If Mitigated

Limited impact with proper input validation and database permissions restricting unauthorized access to sensitive tables.

🌐 Internet-Facing: HIGH - The vulnerability allows unauthenticated SQL injection which can be exploited remotely if the system is internet-facing.
🏢 Internal Only: HIGH - Even internal systems are vulnerable to insider threats or compromised internal accounts exploiting this vulnerability.

🎯 Exploit Status

Public PoC: ⚠️ Yes
Weaponized: LIKELY
Unauthenticated Exploit: ⚠️ Yes
Complexity: LOW

SQL injection vulnerabilities are commonly exploited and tools like sqlmap can automate exploitation. Public advisories provide technical details.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Unknown

Vendor Advisory: No official vendor advisory found

Restart Required: No

Instructions:

1. Review the GitHub repository for updated versions. 2. Implement parameterized queries or prepared statements in authentication code. 3. Add input validation for all user inputs. 4. Test authentication bypass fixes thoroughly.

🔧 Temporary Workarounds

Web Application Firewall (WAF)

all

Deploy a WAF with SQL injection rules to block exploitation attempts

Database Permission Restrictions

linux

Limit database user permissions to only necessary operations

REVOKE ALL PRIVILEGES ON database.* FROM 'app_user'@'localhost';
GRANT SELECT, INSERT, UPDATE ON specific_tables TO 'app_user'@'localhost';

🧯 If You Can't Patch

  • Isolate the system from internet access and restrict internal network access
  • Implement additional authentication layers and monitor for suspicious login attempts

🔍 How to Verify

Check if Vulnerable:

Check if using version 378c157 of the hospital management system. Test authentication endpoints with SQL injection payloads like ' OR '1'='1 in username/password fields.

Check Version:

Check the version in the system's configuration files or about page, or examine the GitHub commit hash if using the repository version.

Verify Fix Applied:

Verify that SQL injection payloads no longer bypass authentication and that parameterized queries are implemented in authentication code.

📡 Detection & Monitoring

Log Indicators:

  • Multiple failed login attempts with SQL-like patterns
  • Successful logins from unusual IP addresses
  • Database error logs showing SQL syntax errors

Network Indicators:

  • HTTP requests containing SQL keywords in authentication parameters
  • Unusual database query patterns from application server

SIEM Query:

source="web_logs" AND (uri_path="/login" OR uri_path="/auth") AND (request_body LIKE "%OR%" OR request_body LIKE "%UNION%" OR request_body LIKE "%SELECT%")

🔗 References

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