CVE-2026-47502 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 user could cause an integer overflow leading to memory corruption. 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 both Windows and Linux operating systems contains a critical security flaw located within its kernel mode driver layer. This specific component is responsible for managing virtualized graphics processing units in server environments, allowing multiple guest users to share physical hardware resources through hypervisor abstraction layers. The vulnerability stems from an integer overflow condition that occurs during the handling of certain input parameters or internal calculations related to memory allocation and buffer management within the kernel space. Because this code executes with high privileges at ring 0 on Windows or equivalent privilege levels in Linux, any miscalculation resulting in an incorrect size value can lead directly to heap corruption or stack overflow scenarios when the system attempts to allocate or access memory based on that flawed integer value.
From a technical perspective, integer overflows are particularly dangerous because they often bypass standard bounds checking mechanisms if the developer assumes inputs will remain within expected positive ranges without rigorous validation. In this case, an attacker operating as a guest user with limited privileges can trigger this overflow by sending specially crafted requests to the vGPU manager interface. When the arithmetic operation wraps around due to exceeding the maximum value for its data type, it results in a significantly smaller allocated buffer than intended or causes pointer arithmetic errors that write beyond valid memory boundaries. This corruption of adjacent kernel structures allows an attacker to manipulate control flow, overwrite function pointers, or corrupt critical system state information, thereby breaking the isolation guarantees provided by the virtualization layer.
The operational impact of successfully exploiting this vulnerability is severe and multifaceted. The most immediate consequence is privilege escalation, where a low-privileged guest user can gain full administrative access to the host operating system. This effectively breaks the security boundary between virtual machines and the underlying hardware management software. Furthermore, an attacker could achieve arbitrary code execution by leveraging memory corruption techniques such as return-oriented programming or heap spraying to execute malicious payloads within the context of the kernel process. A denial of service is also a likely outcome if the exploitation causes critical system structures to become corrupted in a way that triggers a fatal exception or blue screen error on Windows, or a kernel panic on Linux systems. Additionally, depending on how memory corruption manifests, there may be opportunities for information disclosure by reading sensitive data from adjacent memory locations or facilitating data tampering of stored configurations and user credentials residing in the affected memory regions.
This vulnerability aligns with Common Weakness Enumeration identifier CWE-190, which describes Integer Overflow or Wraparound, a flaw where arithmetic operations produce results that exceed the capacity of the variable type used to store them. In terms of attack vectors, this falls under MITRE ATT&CK technique T1203, Exploitation for Client Execution, although in this specific context it is more accurately mapped to privilege escalation paths within virtualized environments rather than traditional client-side execution. The exploitation requires local access but does not necessarily require physical interaction, making it a significant risk in multi-tenant cloud or data center deployments where guest users might have network-accessible interfaces to the vGPU manager service.
Mitigation strategies must focus on both immediate patching and long-term architectural improvements. NVIDIA has released updates that address this integer overflow by implementing stricter input validation and bounds checking within the kernel mode driver code. Administrators should apply these patches immediately to all affected Windows and Linux hosts running the vulnerable versions of the vGPU Virtual GPU Manager. Beyond patching, organizations should enforce strict least-privilege principles for guest users interacting with virtualized hardware interfaces. Network segmentation can also help limit exposure by ensuring that only authorized management consoles or trusted hypervisor components have access to the APIs exposed by the vGPU manager. Regular auditing of kernel module signatures and integrity checks using tools like Windows Driver Verifier or Linux kselftest frameworks can further detect anomalies in memory usage patterns indicative of such exploitation attempts before they lead to full system compromise.