CVE-2026-47497 in Virtual GPU Manager
Summary
by MITRE • 09/30/2026
NVIDIA Virtual GPU Manager contains a vulnerability in the GPU System Processor (GSP) tracing component where a guest VM user may cause improper access by sending crafted data through a shared buffer. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, denial of service, and information disclosure.
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Analysis
by VulDB Data Team • 09/30/2026
The NVIDIA Virtual GPU Manager presents a critical security flaw within its GPU System Processor tracing component that exposes virtualized environments to severe compromise vectors. This vulnerability stems from an improper access control mechanism in the shared buffer architecture used for communication between guest virtual machines and the host system's graphics processing unit subsystems. The core technical deficiency lies in the insufficient validation of data structures sent by a guest VM user through this shared memory interface, allowing malicious actors to bypass expected security boundaries inherent in virtualization isolation models.
From an operational perspective, this flaw enables a guest VM user with limited privileges to inject crafted payloads into the GSP tracing subsystem. Because the system fails to properly verify the integrity and origin of these inputs before processing them within higher-privilege contexts, it creates a pathway for privilege escalation attacks. An attacker exploiting this weakness can transition from a low-level unprivileged state inside a virtual machine to gaining control over critical host-side components or other co-resident VMs that share the same physical GPU resources.
The potential impact of successfully exploiting this vulnerability is extensive and multifaceted, encompassing remote code execution on affected systems, unauthorized escalation of privileges beyond intended limits, deliberate tampering with sensitive data stored within the virtualized environment, denial of service conditions that disrupt computational workloads, and unintended disclosure of confidential information residing in memory spaces previously considered secure. These outcomes collectively undermine the fundamental trust model required for multi-tenant cloud computing environments relying on NVIDIA vGPU technology.
This vulnerability aligns closely with CWE-787 improper access control vulnerabilities where insufficient checks allow unauthorized entities to read or write protected resources, and also relates to CWE-120 buffer overflows if memory corruption occurs during the processing of malformed shared buffers. In terms of adversarial tactics, this exploit scenario maps directly to MITRE ATT&CK techniques involving privilege escalation via local exploits such as T1068 exploitation for gainful access or potentially lateral movement through compromised virtualized infrastructure components like T1534 internal spearphishing if used in conjunction with social engineering within the same tenant network.
Mitigation strategies must prioritize immediate application of vendor-provided patches that address input validation logic within the GSP tracing module and enforce stricter boundary checks on shared buffer interactions between guest VMs and host drivers. Administrators should also implement strict segmentation policies to limit which virtual machines can access specific GPU resources, thereby reducing the attack surface available to potential adversaries attempting to leverage this flaw for unauthorized system modifications or data exfiltration activities within their respective environments.