CVE-2024-2658
Overview
CVE-2024-2658 is a known-severity vulnerability. It was published on January 30, 2025.
Technical Description
A misconfiguration in lmadmin.exe of FlexNet Publisher versions prior to 2024 R1 (11.19.6.0) allows the OpenSSL configuration file to load from a non-existent directory. An unauthorized, locally authenticated user with low privileges can potentially create the directory and load a specially crafted openssl.conf file leading to the execution of a malicious DLL (Dynamic-Link Library) with elevated privileges.
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-2024-2658?
CVE-2024-2658 is a known-severity vulnerability. It was published on January 30, 2025.
How severe is CVE-2024-2658?
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-2024-2658?
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-2024-2658?
CyberStrike's AI-powered security agents can automatically detect CVE-2024-2658 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.