Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain low-priv local access to vGPU host
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DeliverySend crafted request to kernel-mode vGPU Manager
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ExploitTrigger out-of-bounds read in kernel layer
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ExecutionLeak kernel memory / corrupt state
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ImpactEscalate privileges or crash host (DoS)
Vulnerability Assessment
| Weakness |
CWE
ASVS 5.0
V15 - Secure Coding and Architecture Bounds checking, read limits
MITRE ATT&CK
1 technique across 1 tactic: Collection The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Requires local access to a Linux host running the NVIDIA vGPU Virtual GPU Manager, plus low-level privileges sufficient to invoke the kernel-mode vGPU interface (PR:L) - no user interaction is needed. The attacker must be able to send crafted input to the kernel-mode layer to trigger the out-of-bounds read. Limiting factors: the vulnerability is not remotely reachable (AV:L), it is confined to the Linux vGPU Manager (not Windows or general GPU display drivers), and it requires an existing foothold on the hypervisor host; only deployments actually running the vGPU Manager (virtualization/VDI/cloud-GPU hosts) are affected. |
| Impact | This is a locally-exploitable kernel-mode out-of-bounds read (CWE-125) in NVIDIA vGPU Virtual GPU Manager for Linux. The vendor CVSS 3.1 vector (AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H, 7.8 HIGH) is internally consistent with the description and I agree with it: exploitation requires local access and low privileges, with no user interaction. There is no EPSS score, no CISA KEV listing, and no public POC provided, so all exploitation signals point to theoretical/unproven risk rather than active threat. The 'RCE' and 'Buffer Overflow' tags overstate the issue - the CVSS vector is AV:L (local, not remote/network) and the root cause is an out-of-bounds READ, not a classic overflow write; the full C:H/I:H/A:H impact set including 'code execution' and 'data tampering' is the vendor's worst-case aggregate for an OOB read and is optimistic for a read primitive. No SSVC decision data was supplied. Net: a real but medium-priority host-side flaw whose significance is elevated in multi-tenant vGPU/VDI/cloud-GPU environments (a guest-adjacent or co-tenant local attacker on the hypervisor host), but not an internet-facing or mass-exploitable issue. |
| Exploit ScenarioDerived | A low-privileged local user on a Linux hypervisor host running the NVIDIA vGPU Virtual GPU Manager issues crafted requests to the kernel-mode vGPU component, triggering an out-of-bounds read. The attacker uses the leaked kernel memory (and potential state corruption) to disclose sensitive data, crash the host (DoS), or chain toward privilege escalation. No public exploit code is identified at time of analysis, and exploitation is constrained by the requirement for prior local access. |
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Alert meAnalysisAIv1 – Sep 30, 2026
Local attackers with low privileges on a Linux host running NVIDIA vGPU Virtual GPU Manager can trigger an out-of-bounds read in the kernel-mode layer, potentially leading to code execution, privilege escalation, denial of service, information disclosure, and data tampering. The flaw is not remotely reachable and affects only virtualization, VDI, or cloud-GPU hosts that run the vGPU Manager. No public exploit code or active exploitation has been identified at time of analysis.
RemediationAI
Apply the latest fixed version of NVIDIA vGPU Virtual GPU Manager for Linux as documented in the vendor security advisory at https://github.com/NVIDIA/product-security/tree/main/2026/5861 (patch available per vendor advisory). As a compensating control, restrict local login and administrative access on hypervisor hosts to trusted users, since exploitation requires local access with low privileges (PR:L) and no user interaction; however, this does not eliminate the risk for legitimate local users. Monitor the advisory for exact patched version numbers and upgrade instructions.
Affected VersionsENISA
Affects your stack
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Technical ContextAI · show details
The vulnerability is an out-of-bounds read (CWE-125) in the kernel-mode layer of the NVIDIA vGPU Virtual GPU Manager for Linux. This component manages virtual GPU resources for guest VMs, and the kernel-mode driver processes low-level requests from the hypervisor host. An attacker with local access and low privileges can send crafted input to the kernel interface, causing the driver to read beyond intended memory boundaries. The CPE strings (cpe:2.3:a:nvidia:virtual_gpu_manager:*:*:*:*:*:*:*:*) indicate that all versions of the product are potentially affected, with version-specific details available in the NVIDIA advisory. The CVSS vector (AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) confirms that the attack is local, requires low privileges, needs no user interaction, and can impact confidentiality, integrity, and availability.
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Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Local kernel interface reachable by a low-priv user with no interaction (AV:L/AC:L/PR:L/UI:N); vendor's full C/I/A:H aggregate retained though I:H/A:H are generous for an OOB read.
Primary rating from Vendor (nvidia).
CVSS VectorVendor: nvidia
DescriptionCVE.org
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.
Articles & Coverage 2
Executive ViewAI
NVIDIA's vGPU Virtual GPU Manager for Linux contains a high-severity memory-safety flaw (CVE-2026-47521) that a low-privileged local account on an affected host could use to escalate privileges, read protected memory, or crash the system. Only virtualization, VDI, and cloud-GPU hosts running the vGPU Manager are exposed; everyday laptops, desktops, and standard application servers are not affected. Because these hosts typically consolidate many tenants and high-value workloads on a single kernel, a successful exploit could break the isolation between virtual machines, expose sensitive data, or take an entire GPU-accelerated platform offline.
No vendor-released patch identified at time of analysis. Interim mitigations: enforce least privilege and strictly limit local shell/console access on vGPU hosts to vetted administrators; remove or disable unused local accounts and unnecessary sudo entitlements; segment VDI and cloud-GPU hosts on isolated management networks with restricted east-west traffic; enable kernel, hypervisor, and GPU-level logging and alerting for crashes, out-of-bounds faults, and unexpected privilege escalation; increase monitoring and retention on affected hosts and apply the vendor patch as soon as NVIDIA publishes a fixed vGPU Virtual GPU Manager release.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
A buffer overflow occurs when a program writes more data to a memory buffer than it was allocated to hold, causing the excess data to spill into adjacent memory regions.
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
Remote Code Execution represents the critical moment when an attacker successfully runs arbitrary code on a target system without physical access.
Denial of Service attacks render applications or systems unavailable by overwhelming resources or triggering failure conditions.
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EUVD-2026-90065
GHSA-6qvj-xgrp-j42v
NVD
CVE.org
EPSS
Vulnrichment
Exploit-DB