CVE-2025-59379
📋 TL;DR
CVE-2025-59379 is a blind SQL injection vulnerability in DwyerOmega Isensix ARMS 1.5.7 that allows attackers to extract sensitive database information, including user credentials, via the login page. This affects organizations using the vulnerable version of this remote monitoring system for industrial/environmental monitoring. Attackers can steal credentials and potentially gain unauthorized access to the application.
💻 Affected Systems
- DwyerOmega Isensix Advanced Remote Monitoring System (ARMS)
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete compromise of the monitoring system, credential theft of all users including administrators, potential lateral movement to connected industrial systems, and data exfiltration of sensitive monitoring data.
Likely Case
Credential theft leading to unauthorized access to the monitoring interface, potential manipulation of monitoring data or alerts, and exposure of sensitive system information.
If Mitigated
Limited information disclosure if proper input validation and database permissions are in place, with no authentication bypass if credentials are properly hashed.
🎯 Exploit Status
Exploit requires no authentication and targets the login page. SQL injection techniques are well-documented and tools like sqlmap can automate exploitation.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://info.dwyeromega.com/brands
Restart Required: No
Instructions:
1. Check vendor advisory for patches. 2. If patch available, download from vendor portal. 3. Apply patch following vendor instructions. 4. Verify fix by testing login page for SQL injection.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns targeting the login endpoint
Network Segmentation
allRestrict access to ARMS interface to authorized IP addresses only
🧯 If You Can't Patch
- Implement strong network access controls to limit who can reach the ARMS web interface
- Monitor for SQL injection attempts in web server logs and implement alerting
🔍 How to Verify
Check if Vulnerable:
Test login page with SQL injection payloads like ' OR '1'='1 in username field and observe database errors or time delaysCheck Version:
Check web interface footer or about page for version informationVerify Fix Applied:
Retest with SQL injection payloads after patching - should receive generic error messages without database information📡 Detection & Monitoring
Log Indicators:
- SQL syntax errors in web server logs
- Multiple failed login attempts with SQL keywords
- Unusual database query patterns
Network Indicators:
- HTTP requests to login endpoint containing SQL keywords (UNION, SELECT, etc.)
- Abnormal response times from login requests
SIEM Query:
source="web_logs" AND (url_path="/login" OR url_path="login.php") AND (message="*sql*" OR message="*union*" OR message="*select*")