CVE-2025-34130
Overview
CVE-2025-34130 is a known-severity vulnerability. It was published on July 16, 2025.
Technical Description
An unauthenticated arbitrary file read exists in LILIN Digital Video Recorder (DVR) devices prior to firmware version 2.0b60_20200207 via the /z/zbin/net_html.cgi endpoint. This vulnerability allows attackers to read sensitive configuration files, such as /zconf/service.xml, which can then be used to facilitate further attacks including command injection. The vulnerability has been exploited in the wild in conjunction with other issues by botnets like FBot and Moobot.
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-2025-34130?
CVE-2025-34130 is a known-severity vulnerability. It was published on July 16, 2025.
How severe is CVE-2025-34130?
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-2025-34130?
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-2025-34130?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-34130 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.