CVE-2025-69425
Overview
CVE-2025-69425 is a known-severity vulnerability. It was published on January 9, 2026.
Technical Description
The Ruckus vRIoT IoT Controller firmware versions prior to 3.0.0.0 (GA) expose a command execution service on TCP port 2004 running with root privileges. Authentication to this service relies on a hardcoded Time-based One-Time Password (TOTP) secret and an embedded static token. An attacker who extracts these credentials from the appliance or a compromised device can generate valid authentication tokens and execute arbitrary OS commands with root privileges, resulting in complete system compromise.
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-2025-69425?
CVE-2025-69425 is a known-severity vulnerability. It was published on January 9, 2026.
How severe is CVE-2025-69425?
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-2025-69425?
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-2025-69425?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-69425 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.