CVE-2025-7426
Overview
CVE-2025-7426 is a known-severity vulnerability. It was published on August 25, 2025.
Technical Description
Information disclosure and exposure of authentication FTP credentials over the debug port 1604 in the MINOVA TTA service. This allows unauthenticated remote access to an active FTP account containing sensitive internal data and import structures. In environments where this FTP server is part of automated business processes (e.g. EDI or data integration), this could lead to data manipulation, extraction, or abuse. Debug ports 1602, 1603 and 1636 also expose service architecture information and system activity logs
Remediation
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Frequently Asked Questions
What is CVE-2025-7426?
CVE-2025-7426 is a known-severity vulnerability. It was published on August 25, 2025.
How severe is CVE-2025-7426?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2025-7426?
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2025-7426?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-7426 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.