All 15 CVE vulnerabilities found in NVIDIA vGPU Software, with AI-generated Chinese analysis, references, and POCs.
This page documents known software weaknesses associated with NVIDIA vGPU Software. It aggregates vulnerability data specific to this virtual GPU management solution, focusing on its integration within data center and cloud environments. The collection includes various weakness types such as improper input validation, privilege escalation, and denial of service flaws that impact the stability and security of virtualized graphics workloads. The vulnerabilities listed here cover a historical time range from 2018 to the present, reflecting the lifecycle of different software versions and updates released by NVIDIA. This span allows users to observe how the software has evolved in response to emerging security threats and industry standards over several years. The data is curated to provide a comprehensive view of the security posture of NVIDIA's virtualization products. Visitors to this page can track NVIDIA’s advisory announcements to understand the context and severity of reported issues. You can also analyze specific weakness classes to see how they manifest within vGPU architectures, aiding in risk assessment for deployment. Furthermore, this resource serves as a lookup tool for the complete vulnerability history of the product, enabling security teams to audit their installations against known defects and prioritize remediation efforts effectively. By consolidating this information, the page supports informed decision-making for administrators managing GPU-accelerated infrastructure.
Vendor: NVIDIA
All 15 known CVE vulnerabilities affecting NVIDIA vGPU Software with full Chinese analysis, references, and POCs where available.