CVE-2025-5319: DIGITA Efficiency Management SQL Injection

CVE-2025-5319 Overview

CVE-2025-5319 is a critical SQL Injection vulnerability affecting the DIGITA Efficiency Management System developed by Emit Informatics and Communication Technologies Industry and Trade Ltd. Co. This vulnerability allows attackers to execute arbitrary SQL commands against the underlying database through improper neutralization of special elements in SQL queries.

The vulnerability stems from inadequate input validation and sanitization, enabling malicious actors to manipulate database queries and potentially gain unauthorized access to sensitive data, modify database contents, or compromise the entire system.

Critical Impact

This SQL Injection vulnerability enables unauthenticated attackers to execute arbitrary SQL commands remotely, potentially leading to complete database compromise, data exfiltration, and system takeover.

Affected Products

• DIGITA Efficiency Management System (versions through 03022026)
• Emit Informatics and Communication Technologies Industry and Trade Ltd. Co. products utilizing affected components

Discovery Timeline

• February 3, 2026 - CVE-2025-5319 published to NVD
• February 4, 2026 - Last updated in NVD database

Note: The vendor was contacted early about this disclosure but did not respond in any way.

Technical Details for CVE-2025-5319

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists in the DIGITA Efficiency Management System due to improper neutralization of special elements used in SQL commands. The flaw allows attackers to inject malicious SQL statements through user-controllable input fields that are directly incorporated into database queries without proper sanitization or parameterization.

The vulnerability is network-accessible and requires no authentication or user interaction to exploit. Successful exploitation can result in unauthorized access to all data stored in the database, the ability to modify or delete records, and potentially execute operating system commands depending on the database configuration and privileges.

Root Cause

The root cause of this vulnerability is the failure to properly validate and sanitize user-supplied input before incorporating it into SQL queries. Instead of using parameterized queries or prepared statements, the application appears to concatenate user input directly into SQL command strings. This allows special SQL characters and commands to be interpreted by the database engine rather than being treated as literal data values.

Attack Vector

The attack can be performed remotely over the network without requiring any authentication credentials or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads targeting vulnerable input parameters within the DIGITA Efficiency Management System. These payloads can include:

• UNION-based injection to extract data from other tables
• Boolean-based blind injection to enumerate database contents
• Time-based blind injection for data exfiltration when direct output is not visible
• Stacked queries to execute multiple SQL statements including data modification commands

The vulnerability mechanism involves user-controllable input being passed directly to SQL query construction without proper escaping or parameterization. When malicious SQL syntax is included in the input, it gets interpreted as part of the query structure rather than as data, allowing the attacker to modify the query's logic and execute arbitrary database commands. For detailed technical information, refer to the USOM Security Notification TR-26-0016.

Detection Methods for CVE-2025-5319

Indicators of Compromise

• Unusual SQL error messages appearing in application logs or responses
• Database query logs showing malformed or suspicious SQL statements containing UNION, SELECT, OR 1=1, or other injection patterns
• Unexpected database access patterns or queries to system tables like information_schema
• Web application logs containing URL-encoded SQL special characters such as %27, %22, or %3D

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 intrusion detection systems (IDS) with signatures for common SQL injection payloads
• Enable detailed logging on web servers and database systems to capture suspicious activity

Monitoring Recommendations

• Monitor HTTP request parameters for SQL metacharacters including single quotes, semicolons, and comment sequences
• Set up alerts for database errors related to SQL syntax violations
• Track database account activity for privilege escalation attempts or access to sensitive system tables
• Review web server access logs for requests with unusually long parameter values or encoded special characters

How to Mitigate CVE-2025-5319

Immediate Actions Required

• Restrict network access to the DIGITA Efficiency Management System to trusted IP addresses only using firewall rules
• Implement a Web Application Firewall (WAF) with strict SQL injection protection rules in front of the application
• Disable or limit database user privileges to the minimum required for application functionality
• Consider taking the system offline if it processes sensitive data until proper mitigations can be implemented

Patch Information

No official patch is currently available from the vendor. According to the disclosure notice, the vendor was contacted early about this vulnerability but did not respond. Organizations should monitor for security updates and consider alternative mitigation strategies until a patch is released. For the latest information, refer to the USOM Security Notification TR-26-0016.

Workarounds

• Deploy a reverse proxy or WAF with SQL injection filtering capabilities to inspect and sanitize incoming requests
• Implement network segmentation to isolate the DIGITA Efficiency Management System from critical infrastructure
• Apply input validation at the network perimeter using application-layer firewalls
• Restrict database permissions to read-only where possible and remove unnecessary administrative privileges
• Consider migrating to alternative efficiency management solutions if the vendor remains unresponsive

# Example WAF rule for ModSecurity to block common SQL injection patterns
SecRule ARGS "@rx (?i)(\b(union|select|insert|update|delete|drop|truncate)\b.*\b(from|into|set|table)\b)" \
    "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Detected'"