CVE-2025-34039
Overview
CVE-2025-34039 is a known-severity vulnerability. It was published on June 24, 2025.
Technical Description
A code injection vulnerability exists in Yonyou UFIDA NC v6.5 and prior due to the exposure of the BeanShell testing servlet (bsh.servlet.BshServlet) without proper access controls. The servlet allows unauthenticated remote attackers to execute arbitrary Java code via the bsh.script parameter. This can be exploited to run system commands and ultimately gain full control over the target server. The issue is rooted in a third-party JAR component bundled with the application, and the servlet is accessible without authentication on vulnerable installations. Exploitation evidence was observed by the Shadowserver Foundation on 2025-02-05 UTC.
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-2025-34039?
CVE-2025-34039 is a known-severity vulnerability. It was published on June 24, 2025.
How severe is CVE-2025-34039?
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-2025-34039?
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-2025-34039?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-34039 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.