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NVIDIA vGPU EUVDEUVD-2026-90063

| CVE-2026-47519 HIGH
Out-of-bounds Read (CWE-125)
2026-09-30 nvidia GHSA-vh32-pv4x-x299
7.8
CVSS 3.1 · Vendor: nvidia
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Obtain low-priv local/guest access on vGPU host
  2. Delivery
    Craft malformed request to kernel-mode vGPU layer
  3. Exploit
    Trigger out-of-bounds read (CWE-125)
  4. Execution
    Leak kernel/cross-tenant memory or crash service
  5. Impact
    Escalate privileges or deny service

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 authenticated local access (PR:L) to a Linux host running the NVIDIA vGPU Virtual GPU Manager - i.e., a low-privileged local user or a guest context on the hypervisor - able to reach the kernel-mode vGPU layer to submit the malformed request that triggers the out-of-bounds read. No user interaction is needed (UI:N). Exploitation is LIMITED to systems actually deploying NVIDIA vGPU on Linux (VDI/cloud-GPU virtualization hosts); it is not remotely reachable (AV:L) and cannot be triggered by an unauthenticated network attacker. The most impactful scenario is a multi-tenant vGPU deployment where the OOB read crosses tenant isolation boundaries.

Impact

This is a genuine but not emergency-grade issue. The CVSS 3.1 vector (AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H = 7.8 HIGH) makes clear the attack is LOCAL and requires existing low privileges - not remote. The 'RCE' tag is therefore misleading: code execution here is local privilege-driven, not network-exploitable. No EPSS score, CISA KEV entry, or public POC is present in the input, so there is no public exploit identified at time of analysis and no evidence of active exploitation. The realistic threat is a low-privileged tenant/guest on a vGPU host (VDI or cloud-GPU multi-tenant environment) leveraging a kernel-mode out-of-bounds read to leak memory, crash the host, or escalate - a meaningful cross-tenant isolation concern in shared-GPU deployments, but requiring a foothold first. Priority is MEDIUM: high CVSS reflects the C:H/I:H/A:H kernel impact, but local-only access and absence of exploitation signals keep real-world urgency moderate. Note the description lists 'code execution ... escalation of privileges, information disclosure, and data tampering' as possible outcomes of what is fundamentally an OOB READ (CWE-125) - write/tamper/exec outcomes from a pure read primitive are plausible but uncertain; verify exploitability scope with NVIDIA bulletin 5861.

Exploit ScenarioDerived

A low-privileged user or guest VM on a Linux hypervisor running NVIDIA vGPU Manager issues crafted requests to the kernel-mode vGPU layer, triggering an out-of-bounds read. This leaks adjacent kernel memory (potentially another tenant's data) or crashes the host GPU stack (DoS), and under favorable conditions is chained toward privilege escalation. No public exploit code is identified; exploitation requires an existing local foothold on the vGPU host.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
No patch listed yet 0.2% exploitation probability (EPSS)

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AnalysisAIv1 – Sep 30, 2026

An out-of-bounds read in the kernel-mode layer of the NVIDIA vGPU Virtual GPU Manager for Linux lets a local attacker who can already reach the vGPU kernel interface trigger memory reads past the bounds of an allocated buffer, potentially yielding information disclosure, data tampering, privilege escalation, denial of service, or kernel code execution. The flaw is rated CVSS 7.8 (AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H), meaning it is only reachable by an authenticated local principal - a low-privileged user or a guest context on the hypervisor - and not by an unauthenticated remote network attacker. Exposure is limited to hosts that actually deploy NVIDIA vGPU on Linux (VDI and cloud-GPU virtualization platforms), where the highest-impact scenario is a multi-tenant deployment in which the over-read crosses tenant isolation boundaries; no public exploit code or CISA KEV entry was identified at time of analysis, so this is a genuine but not emergency-grade issue warranting scheduled patching.

RemediationAI

The primary fix is to apply the NVIDIA vGPU software update covering CVE-2026-47519 as published in the NVIDIA product-security advisory (https://github.com/NVIDIA/product-security/tree/main/2026/5861); because the provided data does not specify an exact patched version string, upgrade the Virtual GPU Manager and the matching guest driver to the latest release for your supported vGPU branch rather than assuming a version number, and note that host and guest components must be kept on compatible branch versions to avoid breaking vGPU functionality after the update. Until patching is possible, compensating controls on Linux vGPU hosts include restricting local interactive and guest access so that only trusted, authenticated principals can reach the vGPU kernel interface (this directly addresses the PR:L prerequisite but reduces operational flexibility for legitimate users), avoiding untrusted multi-tenant workloads or isolating tenants on separate physical GPUs (costly in hardware and density), disabling or not enabling vGPU on hosts that do not genuinely require GPU virtualization, and monitoring kernel logs for crashes or GPU driver faults that could indicate an exploitation attempt. Patch availability status per vendor advisory: an advisory is published, but the exact corrected release is not independently confirmed from the provided data, and no public exploit code or active-exploitation signal (CISA KEV) was identified at time of analysis.

Affected VersionsENISA

Guest driver 582.53(All versions prior to and including vGPU 19.5)
Virtual GPU Manager 596.38(All versions prior to and including vGPU 20.1)
Guest driver 595.71.05(All versions prior to and including vGPU 20.1)
Virtual GPU Manager 580.159.01(All versions prior to and including vGPU 19.5)
Virtual GPU Manager 582.51(All versions prior to and including vGPU 19.5)
Virtual GPU Manager 595.71.03(All versions prior to and including vGPU 20.1)
Guest driver 596.36(All versions prior to and including vGPU 20.1)
Guest driver 580.159.03(All versions prior to and including vGPU 19.5)

Affects your stack

Find out whether the stacks and servers you run are on an affected version.

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

The vulnerability is an out-of-bounds read (CWE-125) in the NVIDIA vGPU Virtual GPU Manager kernel-mode layer, the privileged Linux driver component that mediates GPU resource allocation and command submission on behalf of guest virtual machines. Because CWE-125 describes reading memory beyond the end of an intended buffer, the practical primitive is disclosure of adjacent kernel memory contents, which an attacker can then leverage for further stages such as bypassing kernel address-space layout randomization, corrupting adjacent state interpreted as data (hence the integrity and data-tampering scoring), or inducing a fatal fault for denial of service. The supplied CPE data identifies two affected components: nvidia:virtual_gpu_manager (the host-side Virtual GPU Manager) and nvidia:guest_driver (the in-guest driver), indicating the vulnerability surface spans both the host vGPU manager and the guest driver pairing. The CVSS vector confirms local-only reachability (AV:L) with low complexity (AC:L) and a low-privileged actor (PR:L) requiring no user interaction (UI:N); the scope remains unchanged (S:U) while confidentiality, integrity, and availability impacts are all high. Given the shared-device, multi-tenant architecture of vGPU, an OOB read in this layer is most significant where separate VMs or users share the same physical GPU.

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Severity by source

Vendor (nvidia) PRIMARY 7.8 HIGH
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
vuln.today AI 7.8 HIGH

Local low-privileged access to the kernel-mode vGPU layer (AV:L/PR:L), no user interaction, high kernel-memory confidentiality/integrity/availability impact consistent with an exploitable OOB read.

3.1 AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
4.0 AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
SUSE HIGH
Red Hat HIGH

Primary rating from Vendor (nvidia).

CVSS VectorVendor: nvidia

Attack Vector
Local
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

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.

Executive ViewAI

Why It Matters

A memory-safety flaw in NVIDIA's vGPU Virtual GPU Manager for Linux (CVE-2026-47519) lets a low-privileged local user or guest VM read beyond allocated kernel buffers, potentially exposing data, enabling tampering, escalating privileges, or crashing the host kernel. The exposure is concentrated in multi-tenant VDI and cloud-GPU virtualization estates, where a successful over-read could cross tenant isolation boundaries - a material contractual, regulatory, and customer-trust risk for organizations hosting third-party workloads on shared GPU infrastructure. No public exploit code and no active exploitation have been identified, and no vendor patch is available, making this a scheduled-remediation priority rather than an emergency.

Business Impact: High
Compensating Controls

No vendor-released patch identified at time of analysis; interim mitigations include restricting local and guest access to the vGPU kernel interface to trusted, necessary principals, reducing or disabling vGPU exposure on hosts that do not require GPU virtualization, segregating tenants across dedicated hosts or GPU pools to limit cross-tenant reachability, increasing monitoring for kernel crashes and anomalous memory access patterns, and applying the vendor's updated Virtual GPU Manager release as soon as NVIDIA publishes it.

Threat Intelligence Overview

EPSS Score
0.2%
Top 93% exploitable
Prevalence
Medium
NVIDIA vGPU Manager runs on virtualization/VDI and cloud-GPU hosts, common but not ubiquitous
Data Quality
5 sources
Confidence: Medium
EUVD NVD CVE.org EPSS Vulnrichment Vendor GitHub

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.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.2%
Patch available No
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision
Defer
Exploitation
None
System Exposure· derived
Small
Automatable
No
Human Impact
High
Technical Impact
Total

Priority Score

39
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +39
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

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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Local privilege escalation in NVIDIA Display Driver for Windows (GeForce, RTX/Quadro/NVS, Tesla, and vGPU guest/manager

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Local attackers with low privileges on a Linux host running NVIDIA vGPU Virtual GPU Manager can trigger an out-of-bounds

Vendor StatusVendor

SUSE

Severity: Important
Product Status
SUSE Linux Enterprise Desktop 15 SP7 Affected
SUSE Linux Enterprise Desktop 15 SP7 Affected
SUSE Linux Enterprise Micro 5.3 Affected
SUSE Linux Enterprise Micro 5.4 Affected
SUSE Linux Enterprise Micro 5.5 Affected

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