CVE-2025-59379: Dwyeromega Isensix ARMS SQLI Vulnerability

CVE-2025-59379 Overview

CVE-2025-59379 is a Blind SQL Injection vulnerability in DwyerOmega Isensix Advanced Remote Monitoring System (ARMS) version 1.5.7. The vulnerability exists in the login page, where the user parameter is susceptible to SQL injection attacks. An unauthenticated attacker can exploit this flaw to retrieve sensitive information from the underlying SQL database, including user credentials that may be stored in cleartext. Successful exploitation allows attackers to steal credentials from existing users and administrators, enabling unauthorized authentication to the application.

Critical Impact

Unauthenticated attackers can extract sensitive credentials from the database, potentially including cleartext passwords for administrative accounts, leading to complete system compromise.

Affected Products

• DwyerOmega Isensix Advanced Remote Monitoring System Firmware version 1.5.7
• DwyerOmega Isensix Advanced Remote Monitoring System hardware appliance
• iSensix Guardian environmental monitoring systems

Discovery Timeline

• January 6, 2026 - CVE-2025-59379 published to NVD
• January 29, 2026 - 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), commonly known as SQL Injection. The ARMS system fails to properly sanitize user-supplied input in the user parameter on the login page before incorporating it into SQL queries. This lack of input validation allows attackers to inject malicious SQL statements that are executed by the database server.

The blind nature of this SQL injection means that the application does not directly display database query results to the attacker. Instead, attackers must infer information based on the application's behavior—such as response time differences (time-based blind SQLi) or conditional responses (boolean-based blind SQLi). Despite this limitation, skilled attackers can systematically extract entire database contents, including sensitive authentication credentials.

The network-accessible attack vector with no authentication requirements significantly increases the risk exposure for internet-facing ARMS deployments.

Root Cause

The root cause of CVE-2025-59379 is improper input validation and lack of parameterized queries in the authentication mechanism. The login functionality directly concatenates user-supplied input into SQL statements without sanitization or the use of prepared statements. This allows specially crafted input in the user parameter to modify the intended SQL query logic, enabling unauthorized data extraction from the backend database.

Attack Vector

The attack is conducted over the network against the login page of the ARMS web interface. An unauthenticated attacker can submit malicious payloads through the user parameter to perform blind SQL injection. The attacker does not require any credentials or prior access to the system.

The exploitation process typically involves:

1. Identifying the vulnerable parameter through injection testing
2. Determining the database type and structure through blind inference techniques
3. Extracting table and column names from database metadata
4. Systematically retrieving user credentials, including potentially cleartext passwords
5. Using stolen credentials to authenticate as legitimate users or administrators

For detailed technical information about this vulnerability, refer to the CVE-2025-59379 security disclosure documentation.

Detection Methods for CVE-2025-59379

Indicators of Compromise

• Unusual or malformed values in authentication logs containing SQL syntax characters such as single quotes ('), semicolons (;), or SQL keywords like UNION, SELECT, WAITFOR
• High volume of failed login attempts from a single IP address with varying user parameter values
• Database query logs showing unexpected queries or time-based functions like SLEEP() or WAITFOR DELAY
• Authentication events for legitimate user accounts from unexpected IP addresses or geographic locations
• Database performance anomalies indicating time-based blind SQL injection attempts

Detection Strategies

• Deploy Web Application Firewalls (WAF) with SQL injection detection rulesets to monitor and block malicious requests to the login endpoint
• Implement database activity monitoring to detect anomalous query patterns or unauthorized data access attempts
• Configure intrusion detection systems (IDS) with signatures for common SQL injection payloads
• Enable detailed logging on the ARMS application and correlate authentication failures with suspicious input patterns

Monitoring Recommendations

• Monitor authentication logs for patterns consistent with SQL injection attempts, including unusual characters in username fields
• Set up alerts for multiple failed authentication attempts followed by successful logins, which may indicate credential theft and subsequent unauthorized access
• Review database audit logs for queries that deviate from normal application behavior
• Implement network traffic analysis to detect automated SQL injection tools such as SQLMap

How to Mitigate CVE-2025-59379

Immediate Actions Required

• Restrict network access to ARMS login pages to trusted IP ranges or VPN-only access until a patch is available
• Implement a Web Application Firewall (WAF) with SQL injection protection rules in front of the ARMS system
• Review all user accounts and reset passwords, ensuring strong password policies are enforced
• Enable detailed logging and actively monitor for exploitation attempts
• Consider taking internet-facing ARMS deployments offline until remediation is complete

Patch Information

At the time of publication, no vendor patch has been publicly announced for this vulnerability. Organizations should monitor the DwyerOmega brands information page and iSensix Guardian product page for security updates. Contact DwyerOmega support directly to inquire about firmware updates addressing CVE-2025-59379.

Workarounds

• Place the ARMS system behind a reverse proxy or WAF configured to filter SQL injection attempts targeting the login page
• Implement network segmentation to isolate ARMS systems from direct internet access and limit exposure to trusted internal networks
• Deploy additional authentication mechanisms such as VPN requirements or IP allowlisting for accessing the ARMS web interface
• Consider disabling web-based access entirely and using alternative management methods if available until a patch is released

# Example WAF rule configuration for SQL injection protection
# Block requests containing common SQL injection patterns in POST parameters
# Adjust paths and parameters based on your WAF platform

# ModSecurity example rule
SecRule ARGS:user "@detectSQLi" \
    "id:1001,phase:2,deny,status:403,msg:'SQL Injection attempt blocked in user parameter'"