CVE-2026-47495 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 user could cause an out-of-bounds write. 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 vulnerability manifests as an out-of-bounds write condition, which represents a severe memory corruption issue that can be triggered by local users or potentially remote attackers depending on the configuration of the virtualized environment. The root cause lies in insufficient validation checks performed when handling input data related to GPU resource allocation and context switching operations within the hypervisor interface. When maliciously crafted requests are processed, the driver fails to properly verify buffer boundaries before writing memory contents, allowing an attacker to write data beyond the allocated limits of a specific kernel structure or heap region.
From a technical perspective, this out-of-bounds write falls squarely under CWE-787: Out-of-Bounds Write in the Common Weakness Enumeration taxonomy. The vulnerability exploits the trust relationship between user-space applications and the privileged kernel-mode driver. In virtualized environments utilizing NVIDIA vGPU technology, multiple guest operating systems share physical GPU resources through a hypervisor-mediated interface. If an attacker can execute code within one of these guest VMs or manipulate the communication channel with the host-side management agent, they may trigger this memory corruption flaw. The lack of rigorous bounds checking during pointer arithmetic operations allows for arbitrary write primitives, which are among the most dangerous capabilities in exploit development because they provide direct control over system memory layout and execution flow.
The operational impact of successfully exploiting this vulnerability is extensive and severe. A successful attack could lead to remote code execution if the attacker can leverage the out-of-bounds write to overwrite function pointers or return addresses on the stack, thereby hijacking kernel execution context. This would effectively grant full control over the host system where the vGPU manager resides. Additionally, denial of service is a likely outcome as memory corruption often leads to immediate system crashes or instability in both the guest VM and potentially the underlying hypervisor infrastructure. Furthermore, escalation of privileges is highly probable since gaining code execution within kernel mode inherently provides root-level access on Linux systems or SYSTEM-level access on Windows hosts. Information disclosure may also occur if the attacker uses the write primitive to read adjacent memory regions containing sensitive keys, credentials, or other VM-specific data structures before overwriting them.
This vulnerability aligns with several techniques in the MITRE ATT&CK framework, particularly those related to privilege escalation and defense evasion within virtualized environments. It relates to T1068: Exploitation for Privilege Escalation, as it allows a lower-privileged entity to gain higher-level access through kernel exploitation. It also touches upon T1499: Endpoint Denial of Service if the exploit is used destructively rather than covertly. The presence of such flaws in virtualization infrastructure highlights the critical importance of secure coding practices in hypervisor and driver development, where memory safety guarantees are often compromised for performance reasons.
Mitigation strategies must focus on both immediate patching and long-term architectural improvements. Organizations running NVIDIA vGPU solutions should immediately apply vendor-provided security patches that address this specific out-of-bounds write condition by implementing strict boundary checks before any memory allocation or copy operations in the kernel driver code. Beyond patching, it is advisable to restrict access to the vGPU management interfaces and ensure that only authorized users have permissions to interact with GPU resources at a low level. Implementing defense-in-depth measures such as enabling hardware-enforced stack protection features like Kernel Address Space Layout Randomization (KASLR) on Linux or Data Execution Prevention (DEP) and Control Flow Guard (CFG) on Windows can mitigate the exploitability of memory corruption vulnerabilities by making it significantly harder for attackers to predict target addresses. Regular auditing of driver code against CWE standards and continuous integration testing with fuzzing tools targeting kernel-mode drivers are essential practices to prevent similar issues in future software updates.