CVE-2025-7735: UNIMAX Hospital Information System SQLi

CVE-2025-7735 Overview

The Hospital Information System developed by UNIMAX contains a SQL Injection vulnerability (CWE-89) that allows unauthenticated remote attackers to inject arbitrary SQL commands and read sensitive database contents. This vulnerability poses a significant risk to healthcare organizations as it could enable unauthorized access to protected health information (PHI), patient records, and other sensitive medical data stored within the hospital's database systems.

Critical Impact

Unauthenticated remote attackers can extract sensitive healthcare data including patient records, medical histories, and personally identifiable information through arbitrary SQL command injection.

Affected Products

• UNIMAX Hospital Information System

Discovery Timeline

• 2025-07-17 - CVE-2025-7735 published to NVD
• 2026-04-15 - Last updated in NVD database

Technical Details for CVE-2025-7735

Vulnerability Analysis

This SQL Injection vulnerability exists in the UNIMAX Hospital Information System due to insufficient input validation and sanitization of user-supplied data before it is incorporated into SQL queries. The vulnerability allows attackers to manipulate database queries by injecting malicious SQL statements through application input fields or parameters.

The attack can be executed remotely over the network without requiring any authentication or user interaction, making it particularly dangerous for internet-facing deployments. Successful exploitation enables attackers to read arbitrary data from the backend database, potentially compromising the confidentiality of sensitive healthcare information.

Root Cause

The root cause of this vulnerability is improper neutralization of special elements used in SQL commands (CWE-89). The application fails to properly sanitize or parameterize user input before constructing SQL queries, allowing attackers to break out of the intended query context and inject their own SQL statements. This typically occurs when applications use string concatenation to build SQL queries with user-controlled input rather than using prepared statements or parameterized queries.

Attack Vector

The attack vector is network-based, meaning attackers can exploit this vulnerability remotely without physical access to the target system. The exploitation requires no prior authentication and no user interaction, allowing attackers to directly target vulnerable instances of the UNIMAX Hospital Information System exposed to the network.

A typical attack scenario involves an attacker identifying input fields or parameters that are vulnerable to SQL injection, then crafting malicious input containing SQL syntax that modifies the intended query behavior. By injecting commands such as UNION SELECT statements or subqueries, attackers can extract data from tables they should not have access to, including patient records, administrative credentials, and system configuration data.

For technical details on the exploitation mechanism and recommended mitigations, refer to the TWCERT Security Advisory.

Detection Methods for CVE-2025-7735

Indicators of Compromise

• Unusual or malformed SQL syntax appearing in application logs or web server access logs
• Unexpected database queries containing UNION, SELECT, single quotes, or SQL comment sequences (--, /**/)
• Database error messages exposed in HTTP responses indicating failed injection attempts
• Abnormal spikes in database read operations or data exfiltration patterns

Detection Strategies

• Deploy Web Application Firewalls (WAF) with SQL injection detection rules to identify and block malicious requests
• Implement database activity monitoring to detect anomalous query patterns and unauthorized data access
• Configure application logging to capture detailed request parameters and correlate with database query logs
• Use intrusion detection systems (IDS) with signatures for common SQL injection attack patterns

Monitoring Recommendations

• Enable verbose logging on web application servers and database systems to capture suspicious activity
• Monitor for authentication bypass attempts and unauthorized access to sensitive database tables
• Set up alerts for database queries returning unusually large result sets that may indicate data exfiltration
• Review access logs regularly for patterns consistent with automated SQL injection scanning tools

How to Mitigate CVE-2025-7735

Immediate Actions Required

• Contact UNIMAX for vendor-supplied patches or security updates addressing this vulnerability
• Implement network segmentation to limit exposure of the Hospital Information System to untrusted networks
• Deploy a Web Application Firewall (WAF) with SQL injection protection rules as an interim mitigation
• Conduct a thorough review of application logs to identify any potential exploitation attempts

Patch Information

Organizations should contact UNIMAX directly to obtain security patches for the Hospital Information System. Additional information and guidance are available through the TWCERT Security Advisory and the TWCERT Security Notification (Chinese).

Workarounds

• Restrict network access to the Hospital Information System using firewall rules to allow only trusted IP addresses
• Implement input validation at the application layer to reject requests containing SQL metacharacters
• Deploy database connection accounts with least-privilege permissions to minimize the impact of successful exploitation
• Enable database query logging and monitoring to detect and respond to exploitation attempts in real-time

# Example: Network restriction using iptables (Linux)
# Restrict access to the HIS application port to trusted networks only
iptables -A INPUT -p tcp --dport 443 -s 10.0.0.0/8 -j ACCEPT
iptables -A INPUT -p tcp --dport 443 -j DROP