CVE-2026-6005: Patient Record Management System SQLi Flaw

CVE-2026-6005 Overview

A SQL injection vulnerability has been identified in code-projects Patient Record Management System 1.0. The vulnerability exists in the /hematology_print.php file where the hem_id parameter is not properly sanitized before being used in database queries. This flaw allows remote authenticated attackers to execute arbitrary SQL commands against the backend database by manipulating the hem_id argument.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to read, modify, or delete sensitive patient medical records and potentially gain unauthorized access to the underlying database system.

Affected Products

• code-projects Patient Record Management System 1.0

Discovery Timeline

• 2026-04-10 - CVE CVE-2026-6005 published to NVD
• 2026-04-13 - Last updated in NVD database

Technical Details for CVE-2026-6005

Vulnerability Analysis

This vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly referred to as an injection vulnerability. The flaw resides in the hematology print functionality of the Patient Record Management System, specifically within the hem_id parameter handling logic.

The application fails to properly validate and sanitize user-supplied input before incorporating it into SQL queries. When a user submits a request to /hematology_print.php, the hem_id parameter value is directly concatenated or interpolated into SQL statements without adequate input validation or parameterized query implementation.

Healthcare management systems handle highly sensitive Protected Health Information (PHI), making this vulnerability particularly concerning. Successful exploitation could allow attackers to access patient diagnoses, treatment histories, lab results, and other confidential medical data.

Root Cause

The root cause of this vulnerability is improper input validation and the absence of parameterized queries (prepared statements) in the application code. The hem_id parameter is directly incorporated into SQL queries without sanitization, allowing specially crafted input containing SQL syntax to alter the intended query logic. This is a common coding flaw in PHP applications where user input is concatenated directly into SQL strings rather than using secure database abstraction methods.

Attack Vector

The attack can be launched remotely over the network by an authenticated user. An attacker would craft a malicious HTTP request to /hematology_print.php with a specially crafted hem_id parameter containing SQL injection payload. The payload could include SQL syntax designed to:

• Extract sensitive patient data from the database using UNION-based or error-based injection techniques
• Modify or delete existing database records
• Bypass authentication or authorization checks
• Potentially execute operating system commands if the database configuration permits

The vulnerability requires low privileges and no user interaction, making it relatively straightforward to exploit. Technical details and proof-of-concept information have been documented and are available through the GitHub SQL CVE Documentation.

Detection Methods for CVE-2026-6005

Indicators of Compromise

• Unusual or malformed requests to /hematology_print.php containing SQL keywords such as UNION, SELECT, DROP, INSERT, or -- in the hem_id parameter
• Database error messages appearing in application logs or HTTP responses
• Unexpected database query patterns or performance anomalies
• Evidence of data exfiltration or unauthorized access to patient records

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP parameters, particularly targeting the hem_id parameter
• Enable verbose logging on the database server to capture all queries and identify anomalous SQL statements
• Deploy intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
• Monitor for authentication anomalies or privilege escalation attempts following SQL injection attacks

Monitoring Recommendations

• Configure real-time alerting for any requests to /hematology_print.php containing special characters or SQL syntax in parameters
• Establish baseline metrics for database query patterns and alert on deviations
• Review web server access logs regularly for suspicious request patterns targeting the vulnerable endpoint
• Implement database activity monitoring to detect unauthorized data access or modifications

How to Mitigate CVE-2026-6005

Immediate Actions Required

• Restrict network access to the Patient Record Management System to trusted IP addresses only until a patch is applied
• Implement input validation on the web server or reverse proxy to block requests with SQL injection patterns in the hem_id parameter
• Deploy a Web Application Firewall (WAF) with SQL injection protection rules enabled
• Review database access logs for signs of prior exploitation

Patch Information

No official vendor patch information is currently available for this vulnerability. Organizations using code-projects Patient Record Management System 1.0 should monitor the Code Projects website for security updates. Additional vulnerability details can be found on VulDB.

Workarounds

• Implement server-side input validation to reject any hem_id values containing non-numeric characters or SQL keywords
• Use a reverse proxy or WAF to filter malicious requests before they reach the application
• If source code access is available, refactor the vulnerable code to use parameterized queries (prepared statements) instead of string concatenation
• Consider temporarily disabling the hematology print functionality if it is not critical to operations until a proper fix is implemented

The recommended mitigation approach is to modify the application code to use parameterized queries. For PHP applications using PDO, the vulnerable code should be refactored to bind user input as parameters rather than directly embedding values in SQL strings. This ensures that user-supplied data is treated as literal values rather than executable SQL syntax.