CVE-2025-59379: DwyerOmega ARMS SQL Injection Vulnerability

CVE-2025-59379 Overview

A Blind SQL Injection vulnerability exists in DwyerOmega Isensix Advanced Remote Monitoring System (ARMS) version 1.5.7. The vulnerability allows remote attackers to retrieve sensitive information from the underlying SQL database by exploiting the user parameter in the login page. Successful exploitation enables attackers to steal user credentials, including those of administrators, which may be stored in cleartext format.

Critical Impact

Attackers can exfiltrate sensitive credentials from the database without authentication, potentially compromising all user accounts including administrative access to the monitoring system.

Affected Products

• DwyerOmega Isensix Advanced Remote Monitoring System (ARMS) version 1.5.7

Discovery Timeline

• 2026-01-06 - CVE-2025-59379 published to NVD
• 2026-01-08 - Last updated in NVD database

Technical Details for CVE-2025-59379

Vulnerability Analysis

This vulnerability is classified as CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). The flaw resides in the login authentication mechanism of the ARMS web application, where user-supplied input through the user parameter is not properly sanitized before being incorporated into SQL queries.

The Blind SQL Injection variant means that the application does not directly return database error messages to the attacker. Instead, attackers must infer information from the application's behavior—such as response timing differences or conditional page content changes—to extract data from the database one character at a time.

The vulnerability is particularly severe because it exists in the authentication endpoint, which is typically exposed to unauthenticated users. This provides a direct attack surface for external threat actors without requiring any prior access to the system.

Root Cause

The root cause stems from improper input validation and the absence of parameterized queries in the login functionality. The user parameter is directly concatenated into SQL statements without sanitization, allowing attackers to inject malicious SQL code. The application fails to implement prepared statements or stored procedures that would separate SQL logic from user-supplied data.

Attack Vector

The attack is network-accessible and requires no authentication or user interaction. An attacker can craft malicious HTTP requests to the login page with specially formed SQL injection payloads in the user parameter. By observing the application's response behavior (timing-based or boolean-based inference), the attacker can systematically extract database contents including usernames and passwords.

The exploitation typically involves:

1. Identifying the injection point in the user parameter on the login page
2. Using time-based or boolean-based blind SQL injection techniques to enumerate database structure
3. Extracting credential tables containing usernames and passwords
4. Using the stolen credentials to authenticate to the application

For detailed technical information about this vulnerability, refer to the published CVE documentation.

Detection Methods for CVE-2025-59379

Indicators of Compromise

• Unusual HTTP requests to the login endpoint containing SQL syntax characters such as single quotes ('), double dashes (--), or UNION statements in the user parameter
• Multiple sequential login attempts with incrementally modified parameter values suggesting automated enumeration
• Abnormal database query response times indicating time-based SQL injection attempts
• Authentication logs showing successful logins from unexpected IP addresses after suspicious activity

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in login form submissions
• Implement database activity monitoring to alert on unusual query patterns or bulk data extraction from user credential tables
• Configure intrusion detection systems to identify SQL injection attack signatures targeting the ARMS application
• Review web server access logs for patterns consistent with automated SQL injection tools such as sqlmap

Monitoring Recommendations

• Enable verbose logging on the ARMS application to capture all authentication attempts with full parameter details
• Monitor database query logs for SELECT statements targeting user credential tables that originate from the web application
• Set up alerts for multiple failed authentication attempts followed by a successful login from the same source
• Track network traffic to the ARMS server for anomalous request patterns or data exfiltration indicators

How to Mitigate CVE-2025-59379

Immediate Actions Required

• Restrict network access to the ARMS login page to trusted IP ranges using firewall rules or network segmentation
• Deploy a Web Application Firewall with SQL injection protection rules in front of the ARMS application
• Audit all existing user accounts for signs of compromise and force password resets for all users
• Review authentication logs for evidence of exploitation and investigate any suspicious access patterns

Patch Information

No vendor patch information is currently available in the CVE data. Organizations should monitor the DwyerOmega product information page and iSensix Guardian resources for security updates. Contact the vendor directly to inquire about security patches or updated firmware versions that address this vulnerability.

Workarounds

• Implement network-level access controls to limit who can reach the ARMS login page, restricting access to known management IP addresses only
• Place the ARMS system behind a reverse proxy with SQL injection filtering capabilities
• If feasible, disable external network access to the system until a patch is available and restrict to local network only
• Implement additional authentication mechanisms such as VPN access requirements or multi-factor authentication at the network layer

# Example: Restrict access to ARMS using iptables
# Allow only trusted management network (192.168.10.0/24)
iptables -A INPUT -p tcp --dport 80 -s 192.168.10.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 443 -s 192.168.10.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -j DROP
iptables -A INPUT -p tcp --dport 443 -j DROP