CVE-2025-6892
Overview
CVE-2025-6892 is a known-severity vulnerability. It was published on October 17, 2025.
Technical Description
An Incorrect Authorization vulnerability has been identified in Moxa’s network security appliances and routers. A flaw in the API authentication mechanism allows unauthorized access to protected API endpoints, including those intended for administrative functions. This vulnerability can be exploited after a legitimate user has logged in, as the system fails to properly validate session context or privilege boundaries. An attacker may leverage this flaw to perform unauthorized privileged operations. While successful exploitation can severely impact the confidentiality, integrity, and availability of the affected device itself, there is no loss of confidentiality or integrity within any subsequent systems.
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-2025-6892?
CVE-2025-6892 is a known-severity vulnerability. It was published on October 17, 2025.
How severe is CVE-2025-6892?
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-2025-6892?
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-2025-6892?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-6892 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.
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