CVE-2025-55280
Overview
CVE-2025-55280 is a known-severity vulnerability. It was published on August 13, 2025.
Technical Description
This vulnerability exists in ZKTeco WL20 due to storage of Wi-Fi credentials, configuration data and system data in plaintext within the device firmware. An attacker with physical access could exploit this vulnerability by extracting the firmware and reverse engineer the binary data to access the plaintext sensitive data stored in the targeted device.
Successful exploitation of this vulnerability could allow the attacker to gain unauthorized network access, retrieve and manipulate data on the targeted device.
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-2025-55280?
CVE-2025-55280 is a known-severity vulnerability. It was published on August 13, 2025.
How severe is CVE-2025-55280?
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-2025-55280?
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-2025-55280?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-55280 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.