CVE-2020-22165

7.5 HIGH

📋 TL;DR

CVE-2020-22165 is a SQL injection vulnerability in PHPGurukul Hospital Management System v4.0 that allows remote unauthenticated attackers to execute arbitrary SQL queries. This can lead to unauthorized access to sensitive database information including patient records, user credentials, and system data. Any organization running the vulnerable version of this hospital management software is affected.

💻 Affected Systems

Products:
  • PHPGurukul Hospital Management System
Versions: Version 4.0
Operating Systems: Any OS running PHP
Default Config Vulnerable: ⚠️ Yes
Notes: The vulnerability exists in the default installation of version 4.0. No special configuration is required for exploitation.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete database compromise leading to theft of all patient medical records, financial data, and administrative credentials, potentially resulting in data breach, ransomware deployment, or system takeover.

🟠

Likely Case

Extraction of sensitive patient information and user credentials, enabling further system access and potential data exfiltration.

🟢

If Mitigated

Limited or no data exposure if proper input validation and parameterized queries are implemented.

🌐 Internet-Facing: HIGH
🏢 Internal Only: MEDIUM

🎯 Exploit Status

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

Public exploit code is available on GitHub, making exploitation trivial for attackers with basic SQL injection knowledge.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Unknown

Vendor Advisory: No official vendor advisory found

Restart Required: No

Instructions:

1. Check for official patches from PHPGurukul. 2. If no patch exists, implement manual fixes by modifying user-login.php to use parameterized queries. 3. Validate and sanitize all user inputs in the login functionality.

🔧 Temporary Workarounds

Input Validation and Sanitization

all

Add input validation and sanitization to the login form parameters before processing SQL queries.

Modify \hms\user-login.php to validate and sanitize user inputs using PHP's filter_var() or mysqli_real_escape_string() functions

Web Application Firewall (WAF)

all

Deploy a WAF with SQL injection protection rules to block exploitation attempts.

Configure WAF rules to detect and block SQL injection patterns in login requests

🧯 If You Can't Patch

  • Isolate the system from internet access and restrict to internal network only
  • Implement strict network segmentation and monitor all database access attempts

🔍 How to Verify

Check if Vulnerable:

Test the login endpoint with SQL injection payloads (e.g., ' OR '1'='1) and observe if database errors or unexpected responses occur.

Check Version:

Check the system version in the admin panel or review the software documentation/configuration files

Verify Fix Applied:

Attempt the same SQL injection tests and verify they are properly rejected without database errors or information disclosure.

📡 Detection & Monitoring

Log Indicators:

  • Unusual SQL error messages in application logs
  • Multiple failed login attempts with SQL-like patterns
  • Database queries with unusual syntax from the login endpoint

Network Indicators:

  • HTTP requests to user-login.php containing SQL keywords (UNION, SELECT, etc.)
  • Unusual database connection patterns from the web server

SIEM Query:

source="web_logs" AND uri="/hms/user-login.php" AND (request_body CONTAINS "UNION" OR request_body CONTAINS "SELECT" OR request_body CONTAINS "' OR '")

🔗 References

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