What is the CVSS score of CVE-2025-59379?

CVE-2025-59379 has a CVSS 3.1 base score of 7.5 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N. EPSS exploitation probability: 0.0%.

Which versions of Isensix Advanced Remote Monitoring System Firmware are affected by CVE-2025-59379?

Organizations using DwyerOmega face notable risk from CVE-2025-59379, a SQL injection vulnerability rated CVSS 7.5.

How to fix or mitigate CVE-2025-59379?

Within 7 days: Identify all affected systems and apply vendor patches promptly. Validate that input sanitization is in place for all user-controlled parameters.

Isensix Advanced Remote Monitoring System Firmware CVE-2025-59379

HIGH

SQL Injection (CWE-89)

2026-01-06 cve@mitre.org

SQLi Isensix Advanced Remote Monitoring System Firmware

7.5

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

7.5 HIGH

AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

None

Availability

None

Lifecycle Timeline

Analysis Generated

Mar 12, 2026 - 21:54 vuln.today

CVE Published

Jan 06, 2026 - 16:15 nvd

HIGH 7.5

DescriptionCVE.org

DwyerOmega Isensix Advanced Remote Monitoring System (ARMS) 1.5.7 allows an attacker to retrieve sensitive information from the underlying SQL database via Blind SQL Injection through the user parameter in the login page. This allows an attacker to steal credentials, which may be cleartext, from existing users (and admins) and use them to authenticate to the application.

AnalysisAI

Technical ContextAI

Classified as CWE-89 (SQL Injection). Affects the user component of Isensix Advanced Remote Monitoring System Firmware. DwyerOmega Isensix Advanced Remote Monitoring System (ARMS) 1.5.7 allows an attacker to retrieve sensitive information from the underlying SQL database via Blind SQL Injection through the user parameter in the login page. This allows an attacker to steal credentials, which may be cleartext, from existing users (and admins) and use them to authenticate to the application.

RemediationAI

Monitor vendor advisories for a patch. Use parameterized queries. Implement input validation. Restrict network access to the affected service where possible.