CVE-2026-47519 in Virtual GPU Manager
Summary
by MITRE • 09/30/2026
NVIDIA vGPU Virtual GPU Manager for Linux contains a vulnerability in the kernel mode layer where an attacker 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 Linux presents a critical security risk due to a flaw located within its kernel mode layer. This specific component is responsible for managing virtualized graphics processing units in server environments, facilitating the sharing of GPU resources among multiple virtual machines or containers. The vulnerability manifests as an out-of-bounds read condition, which occurs when the software attempts to access memory locations that are outside the intended buffer boundaries. In a kernel mode context, such errors are particularly severe because they bypass user-space protections and operate with high-level system privileges. An attacker who can trigger this flaw may be able to read arbitrary data from the kernel's virtual address space, potentially exposing sensitive information stored in memory or causing instability within the host operating system.
The operational impact of exploiting an out-of-bounds read in a kernel-mode driver is multifaceted and severe. While the immediate technical effect is unauthorized memory access, the downstream consequences can include arbitrary code execution if the attacker leverages the leaked data to craft precise exploits against other kernel structures. This could lead to full system compromise, allowing for privilege escalation from an unprivileged user or guest virtual machine to root-level control over the host server. Additionally, denial of service is a significant risk, as accessing invalid memory addresses can cause kernel panics or crashes, disrupting services running on the affected NVIDIA vGPU infrastructure. Information disclosure remains the primary direct outcome, where confidential data such as cryptographic keys, session tokens, or proprietary application logic could be exfiltrated from the host system's memory space to an attacker-controlled environment.
From a classification perspective, this vulnerability aligns with CWE-125, which defines out-of-bounds read vulnerabilities in software systems. The exploitation path typically involves manipulating input parameters passed to the vGPU manager driver to trigger the boundary check failure during data processing operations. In terms of tactical mapping within the MITRE ATT&CK framework, this flaw facilitates initial access and privilege escalation techniques, specifically those involving kernel exploitation or memory corruption attacks. Attackers may utilize this vulnerability as part of a broader attack chain that begins with gaining foothold in a guest environment and culminates in breaking out to the host system through driver-level exploits. The presence of such vulnerabilities highlights the inherent risks associated with complex hypervisor components and third-party drivers operating at ring 0, where errors have systemic implications rather than isolated application failures.
Mitigation strategies must prioritize immediate patching by applying the latest updates provided by NVIDIA for the vGPU Virtual GPU Manager software. Organizations should verify their current driver versions against vendor advisories to ensure they are not running vulnerable builds. Beyond patch management, defense-in-depth measures such as enabling kernel hardening features like KASLR and SMEP can reduce the likelihood of successful exploitation even if the vulnerability is triggered. Network segmentation policies should also be reviewed to limit lateral movement opportunities for attackers who might attempt to reach these privileged components from less trusted network zones. Regular auditing of driver loading configurations and restricting root access to systems running vGPU services further minimizes the attack surface available to potential adversaries seeking to exploit kernel-mode flaws in virtualized graphics infrastructure.