Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain unprivileged local account
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DeliveryIssue crafted driver/ioctl commands
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ExploitTrigger self-referencing map cleanup
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ExecutionExploit kernel use-after-free
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ImpactEscalate to kernel code execution
Vulnerability Assessment
| Weakness |
CWE
ASVS 5.0
V15 - Secure Coding and Architecture Memory lifecycle management
MITRE ATT&CK
2 techniques across 2 tactics: Execution, Privilege Escalation The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Requires an unprivileged local user account (or existing local code execution) on a host running the affected NVIDIA GPU Display Driver with the OPEN-SOURCE kernel module loaded; the attacker must reach the Resource Server 'map cleanup' code path where a missing self-reference guard allows a use-after-free. No user interaction and no elevated privileges beyond a normal local account are needed (UI:N, PR:L). Limiting factors: exploitation is LOCAL only (no network vector), depends on the open-source kernel module variant of the driver being in use, and delivers highest impact in shared/multi-tenant GPU environments (vGPU, VDI, cloud GPU) rather than single-user desktops. |
| Impact | All signals point to a genuine but locally-scoped privilege-escalation risk rather than a remotely-wormable emergency. The vendor CVSS 3.1 vector CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H (7.8, HIGH) confirms LOCAL attack vector, LOW complexity, and already-present low privilege (PR:L) - meaning an attacker must first have authenticated code-execution ability on the host. No EPSS score, no CISA KEV listing, and no public POC were provided, so there is no evidence of active exploitation or automated weaponization. The 'RCE' tag is misleading given AV:L: this is local code execution/EoP, not network RCE. The CWE-416 use-after-free in the open-source kernel Resource Server is a classic EoP primitive (low-priv local user → kernel-level code execution), which is why C/I/A are all High under scope-unchanged. Real priority is moderate: highest value in multi-tenant/shared-GPU contexts (vGPU, VDI, cloud GPU, shared workstations) where crossing from an unprivileged account to kernel is a meaningful trust-boundary break; on single-user desktops the blast radius is smaller. No data conflicts the vector; the main metadata issue is a spurious 'Microsoft' vendor tag (the product is NVIDIA's driver) and an absent 'windows' platform tag despite the description covering Windows and Linux. |
| Exploit ScenarioDerived | An attacker who already has an unprivileged local account or code-execution foothold on a machine running the affected NVIDIA GPU driver issues crafted ioctl/driver commands that exercise the Resource Server map cleanup path, triggering a use-after-free due to a missing self-reference guard. By grooming kernel memory around the freed object, the attacker escalates from low privilege to kernel-level code execution. No public exploit code was identified at time of analysis, and exploitation requires local access rather than a network request. |
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Alert meAnalysisAIv1 – Sep 30, 2026
Local privilege escalation in the NVIDIA GPU Display Driver's open-source kernel module lets an unprivileged local user trigger a use-after-free in the Resource Server map cleanup path via a missing self-reference guard, yielding code execution, privilege escalation, denial of service, information disclosure and data tampering (CVSS 3.1 7.8, AV:L/AC:L/PR:L/UI:N, CWE-416). Affected are Windows and Linux hosts running the open-source kernel module variant of the driver, spanning GeForce, RTX/Quadro/NVS and Tesla product lines per the published CPEs; exploitation requires only a normal local account and no user interaction, but is strictly local with no network vector. No public exploit code or confirmed active exploitation (CISA KEV) was identified at time of analysis, and the practical risk is highest in shared or multi-tenant GPU environments (vGPU, VDI, cloud GPU) where gaining kernel-level control of the GPU driver crosses a meaningful tenant boundary.
RemediationAI
Apply the fixed NVIDIA GPU Display Driver release for your branch as documented in the vendor advisory at https://github.com/NVIDIA/product-security/tree/main/2026/5861 (cross-referenced via NVD at https://nvd.nist.gov/vuln/detail/CVE-2026-47597); the advisory is the authoritative source for exact fixed driver versions per product line and platform, and no exact fix version is independently confirmed in the data available here. Where immediate upgrade is not possible, the most direct compensating control is to avoid loading the open-source kernel module - install or configure the proprietary module variant instead - with the trade-off that this forfeits open-source module features and can break DKMS/custom-kernel build workflows or specific vGPU feature sets. On Linux hosts, restrict local interactive access and sudo-capable tooling to trusted users, since the vulnerability requires a local unprivileged account and no interaction; on shared multi-tenant GPU platforms (vGPU, VDI, cloud GPU), enforce strict tenant isolation, patch hypervisor and guest drivers first, and monitor for anomalous local privilege-escalation behaviour such as unexpected kernel crashes or driver-related memory corruption traces, accepting that these are detective rather than preventive measures. Reboot after driver replacement to ensure the faulty module is no longer resident in memory.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 3 packages in euvd
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
The flaw is a memory-safety defect (CWE-416, use-after-free) in the Resource Server component of NVIDIA's open-source kernel module, the GPU driver layer that brokers client requests into kernel-mode GPU operations. The map cleanup path fails to hold a self-reference guard, so an object can be freed and then dereferenced during teardown - a classic lifetime-management bug where reference counting is dropped before the object is fully retired. Because this code executes in kernel context, a successful use-after-free gives an attacker control over freed GPU driver memory, which typically converts to ring-0 code execution on the host (or, on Windows, into the kernel-mode driver), hence the high confidentiality, integrity and availability impact in the CVSS vector. The vulnerability is scoped to the open-source kernel module builds of the driver on both Windows and Linux; CPE data enumerates GeForce, RTX/Quadro/NVS and Tesla (data-center) families, and the accompanying tags (RCE, memory corruption, information disclosure, denial of service, Guest Driver) reflect the breadth of downstream outcomes. Attack prerequisites are modest: a local unprivileged account (PR:L) and the ability to reach the Resource Server map cleanup code path, with no user interaction (UI:N) and low attack complexity (AC:L).
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Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Local low-privileged user triggers a kernel use-after-free with no user interaction, yielding potential kernel code execution, so C/I/A all High, scope unchanged.
Primary rating from Vendor (nvidia).
CVSS VectorVendor: nvidia
DescriptionCVE.org
NVIDIA GPU Display Driver for Windows and Linux contains a vulnerability in the open-source kernel module Resource Server where an unprivileged local user could cause a use-after-free through a missing self-reference guard in the map cleanup path. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, denial of service, information disclosure, and data tampering.
Articles & Coverage 3
Executive ViewAI
A high-severity local privilege escalation vulnerability (CVE-2026-47597) in the NVIDIA GPU Display Driver's open-source kernel module affects Windows and Linux hosts across GeForce, RTX/Quadro/NVS, and Tesla product lines. An authenticated local user with low privileges can exploit this use-after-free flaw to gain kernel-level code execution, compromising system integrity and confidentiality, with the highest risk in shared GPU environments like vGPU, VDI, and cloud GPU where tenant boundaries could be breached. No vendor-released patch identified at time of analysis, so leadership should prioritize risk assessment and interim mitigations for critical GPU infrastructure.
No vendor-released patch identified at time of analysis. Interim mitigations include: restricting local access to GPU-enabled systems to trusted users, enabling kernel hardening (SMEP, SMAP, KASLR), monitoring for anomalous kernel activity, isolating multi-tenant GPU workloads via separate VMs or containers, and enforcing strict least-privilege policies.
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
Use-after-free vulnerabilities occur when a program continues to access memory through a pointer after that memory has been deallocated.
Memory corruption occurs when a program writes data beyond the boundaries of allocated memory regions or accesses memory in unintended ways, violating the integrity of the process's address space.
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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Same weakness CWE-416 – Use After Free
View allVendor 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 |
| SUSE Linux Enterprise Module for Basesystem 15 SP7 | Affected |
| SUSE Linux Enterprise Module for Basesystem 15 SP7 | Affected |
| SUSE Linux Enterprise Module for Public Cloud 15 SP7 | Affected |
| SUSE Linux Enterprise Server 15 SP7 | Affected |
| SUSE Linux Enterprise Server 15 SP7 | Affected |
| SUSE Linux Enterprise Server 16.0 | Affected |
| SUSE Linux Enterprise Server 16.0 | Affected |
| SUSE Linux Enterprise Server 16.1 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP7 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP7 | Affected |
| SUSE Linux Enterprise Server for SAP applications 16.0 | Affected |
| SUSE Linux Enterprise Server for SAP applications 16.0 | Affected |
| SUSE Linux Enterprise Server for SAP applications 16.1 | Affected |
| SUSE Linux Micro 6.0 | Affected |
| SUSE Linux Micro 6.0 | Affected |
| SUSE Linux Micro 6.0 | Affected |
| SUSE Linux Micro 6.1 | Affected |
| SUSE Linux Micro 6.1 | Affected |
| SUSE Linux Micro 6.1 | Affected |
| SUSE Linux Micro 6.2 | Affected |
| SUSE Linux Micro 6.2 | Affected |
| openSUSE Leap 16.0 | Affected |
| openSUSE Leap 16.0 | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP4-LTSS | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP5 | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP5-LTSS | Affected |
| SUSE Linux Enterprise Module for Basesystem 15 SP4 | Affected |
| SUSE Linux Enterprise Module for Basesystem 15 SP5 | Affected |
| SUSE Linux Enterprise Module for Basesystem 15 SP6 | Affected |
| SUSE Linux Enterprise Server 15 SP4 | Affected |
| SUSE Linux Enterprise Server 15 SP4-LTSS | Affected |
| SUSE Linux Enterprise Server 15 SP5 | Affected |
| SUSE Linux Enterprise Server 15 SP5-LTSS | Affected |
| SUSE Linux Enterprise Server 15 SP6 | Affected |
| SUSE Linux Enterprise Server 15 SP6-LTSS | Affected |
| SUSE Linux Enterprise Server 15 SP6-LTSS | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP4 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP5 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP6 | Affected |
| SUSE Linux Enterprise Server for SAP Applications 15 SP6 | Affected |
| SUSE Linux Enterprise Desktop 15 SP4 | Affected |
| SUSE Linux Enterprise Desktop 15 SP5 | Affected |
| SUSE Linux Enterprise Desktop 15 SP6 | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP4 | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP4-ESPOS | Affected |
| SUSE Linux Enterprise High Performance Computing 15 SP5-ESPOS | Affected |
| SUSE Linux Enterprise Module for Public Cloud 15 SP6 | Affected |
| SUSE Linux Enterprise Real Time 15 SP4 | Affected |
| SUSE Manager Proxy 4.3 | Affected |
| SUSE Manager Proxy LTS 4.3 | Affected |
| SUSE Manager Retail Branch Server 4.3 | Affected |
| SUSE Manager Retail Branch Server LTS 4.3 | Affected |
| SUSE Manager Server 4.3 | Affected |
| SUSE Manager Server LTS 4.3 | Affected |
| openSUSE Leap 15.4 | Affected |
| openSUSE Leap 15.5 | Affected |
| openSUSE Leap 15.6 | Affected |
| openSUSE Leap 15.6 | Affected |
| openSUSE Leap Micro 5.5 | Affected |
| SUSE Linux Enterprise Server for NVIDIA 16.1 | Affected |
EUVD-2026-90138
GHSA-3rj5-p3f9-5gv5
NVD
CVE.org
EPSS
Vulnrichment
Exploit-DB