CVE-2024-13976
Overview
CVE-2024-13976 is a known-severity vulnerability. It was published on July 25, 2025.
Technical Description
A DLL injection vulnerability exists in Commvault for Windows 11.20.0, 11.28.0, 11.32.0, 11.34.0, and 11.36.0. During the installation of maintenance updates, an attacker with local access may exploit uncontrolled search path or DLL loading behavior to execute arbitrary code with elevated privileges. The vulnerability has been resolved in versions 11.20.202, 11.28.124, 11.32.65, 11.34.37, and 11.36.15.
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-2024-13976?
CVE-2024-13976 is a known-severity vulnerability. It was published on July 25, 2025.
How severe is CVE-2024-13976?
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-2024-13976?
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-2024-13976?
CyberStrike's AI-powered security agents can automatically detect CVE-2024-13976 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.