What is the CVSS score of CVE-2025-13774?

CVE-2025-13774 has a CVSS 3.1 base score of 8.8 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.0%.

Which versions of Flowmon Anomaly Detection System are affected by CVE-2025-13774?

Organizations using Progress Flowmon ADS face significant risk from CVE-2025-13774, a SQL injection vulnerability rated CVSS 8.8.

How to fix or mitigate CVE-2025-13774?

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

Flowmon Anomaly Detection System CVE-2025-13774

HIGH

SQL Injection (CWE-89)

2026-01-13 security@progress.com

SQLi Flowmon Anomaly Detection System

8.8

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

8.8 HIGH

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

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

Analysis Generated

Mar 12, 2026 - 21:54 vuln.today

CVE Published

Jan 13, 2026 - 13:15 nvd

HIGH 8.8

DescriptionCVE.org

A vulnerability exists in Progress Flowmon ADS versions prior to 12.5.4 and 13.0.1 where an SQL injection vulnerability allows authenticated users to execute unintended SQL queries and commands.

AnalysisAI

A vulnerability exists in Progress Flowmon ADS versions prior to 12.5.4 and 13.0.1 where an SQL injection vulnerability allows authenticated users to execute unintended SQL queries and commands. [CVSS 8.8 HIGH]

Technical ContextAI

Classified as CWE-89 (SQL Injection). Affects Flowmon Anomaly Detection System. A vulnerability exists in Progress Flowmon ADS versions prior to 12.5.4 and 13.0.1 where an SQL injection vulnerability allows authenticated users to execute unintended SQL queries and commands.

RemediationAI

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