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CVE-2024-0077

7.8 · HIGH
Published Mar 27, 2024 CWE-285 EPSS 0.21% (11th pctl)

Overview

CVE-2024-0077 is a high-severity vulnerability. It was published on March 27, 2024 and has a CVSS 3.1 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

NVIDIA Virtual GPU Manager contains a vulnerability in the vGPU plugin, where it allows a guest OS to allocate resources for which the guest OS is not authorized. A successful exploit of this vulnerability may lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.

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-2024-0077?

CVE-2024-0077 is a high-severity vulnerability. It was published on March 27, 2024 and has a CVSS 3.1 base score of 7.8 (HIGH).

How severe is CVE-2024-0077?

This vulnerability has a CVSS 3.1 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2024-0077?

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-2024-0077?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-0077 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.