CVE-2026-47499 in Virtual GPU Manager
Summary
by MITRE • 09/30/2026
NVIDIA vGPU Virtual GPU Manager for Windows and Linux contains a vulnerability in the kernel mode layer where a guest could cause an out-of-bounds read. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.
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Analysis
by VulDB Data Team • 09/30/2026
The NVIDIA vGPU Virtual GPU Manager for Windows and Linux presents a critical security risk due to a flaw located within the kernel mode layer of its software stack. This specific vulnerability manifests as an out-of-bounds read condition, which occurs when the system attempts to access memory locations that are outside the intended buffer boundaries. In virtualized environments utilizing NVIDIA vGPU technology, this component is responsible for managing the allocation and scheduling of GPU resources among multiple guest operating systems. The presence of a kernel-mode flaw in such a foundational layer significantly elevates the severity of the issue because it resides at the highest privilege level within the host system architecture.
From a technical perspective, an out-of-bounds read allows a malicious actor to access memory contents that were not intended for their process or virtual machine context. While reading data outside allocated bounds does not inherently allow direct modification of those specific bytes, it provides the attacker with sensitive information stored in adjacent memory regions. This can include cryptographic keys, session tokens, passwords, or other confidential data belonging to the host system or other co-located virtual machines. The ability to leak this information constitutes a severe breach of confidentiality and integrity within the multi-tenant environment.
The operational impact of exploiting this vulnerability is substantial due to its location in kernel mode. A successful exploitation does not stop at mere information disclosure; it can serve as a stepping stone for more destructive attacks. By leveraging the leaked memory contents, an attacker may be able to craft precise exploits that lead to arbitrary code execution on the host system. This could result in a complete compromise of the underlying hardware infrastructure. Furthermore, even without achieving full code execution, the vulnerability allows for denial of service conditions by causing instability or crashes within the kernel space, thereby disrupting services for all users sharing the vGPU resources.
In terms of privilege escalation, this flaw enables guest virtual machines to potentially break out of their isolated environments and gain elevated privileges on the host. This violates the fundamental security principle of isolation in virtualization technologies. An attacker who gains control over the GPU manager could manipulate hardware states or intercept communications between the hypervisor and physical devices, leading to data tampering where integrity guarantees are compromised. Such actions can have cascading effects across an entire organization if the affected server hosts critical workloads.
This vulnerability aligns with Common Weakness Enumeration identifier CWE-125, which describes out-of-bounds read scenarios that allow attackers to access memory beyond allocated boundaries. Additionally, from a tactical perspective related to the MITRE ATT&CK framework, this flaw facilitates techniques associated with initial access and privilege escalation through exploitation of software vulnerabilities in system services or drivers. The ability to perform information disclosure maps directly to data exfiltration tactics where sensitive internal resources are accessed without proper authorization controls being effective against kernel-level exploits.
Mitigation strategies must prioritize immediate patching by applying the latest updates provided by NVIDIA for the vGPU Virtual GPU Manager on both Windows and Linux platforms. Organizations should verify that all guest operating systems running on affected hosts have compatible drivers installed to ensure consistent security postures across the virtual infrastructure. Network segmentation policies should be reviewed to limit lateral movement in case a single host is compromised, ensuring that critical data stores are not directly accessible from compute nodes hosting vGPU workloads. Regular auditing of kernel module integrity and monitoring for anomalous memory access patterns can also help detect potential exploitation attempts before they result in significant damage.