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Attack ChainAIDerived

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

  1. Access
    Gain unprivileged local access
  2. Delivery
    Send crafted ioctl to NVIDIA kernel driver
  3. Exploit
    Trigger use-after-free on freed kernel object
  4. Execution
    Reclaim allocation via heap grooming
  5. Persist
    Corrupt kernel memory
  6. Impact
    Escalate to root or leak kernel memory

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 local access to a host running the affected NVIDIA GPU Display Driver for Linux with an already-authenticated unprivileged account (PR:L), plus the ability to interact with the GPU kernel-mode device interface (e.g., /dev/nvidia* ioctls). No user interaction is needed (UI:N) and no network path exists (AV:L), so remote exploitation is not possible. Exploitation is limited by needing a foothold on the machine, by the reliability challenges typical of kernel UAF exploitation (heap grooming and race timing), and by driver version - only affected GeForce, RTX/Quadro/NVS, and Tesla driver branches are impacted. The 'Guest Driver' designation makes the scenario most relevant to virtualized/vGPU and multi-tenant datacenter deployments where an untrusted low-privileged guest can reach the shared GPU driver.

Impact

This is a genuine, if not urgent, local-privilege-escalation risk. The CVSS 3.1 vector (AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H, base 7.8 HIGH) is internally consistent with the description: a use-after-free (CWE-416) in the NVIDIA Linux GPU driver kernel-mode layer, triggerable by an already-authenticated unprivileged local user (PR:L), with high confidentiality, integrity and availability impact reflecting the full range of stated outcomes (code execution, DoS, privilege escalation, information disclosure, data tampering). Because the attack vector is LOCAL (AV:L), this is not remotely exploitable and requires the attacker to already have code-execution as some user on the host - it is a privilege-escalation/local-attack primitive, not an initial-access vector. No EPSS score, no CISA KEV listing, and no public exploit code are present in the supplied data, so per the precision rules this is 'no public exploit identified at time of analysis'; there is also no SSVC decision data provided. Kernel UAFs in GPU drivers are historically weaponizable but non-trivial to exploit reliably (heap grooming, race timing), which the AC:L rating arguably understates for a UAF, though NVIDIA rates the trigger itself as low-complexity. Real priority is MODERATE and concentrated in multi-tenant contexts (the 'Guest Driver' tag and Tesla CPE point to virtualized/vGPU and datacenter deployments where an untrusted low-privileged guest sharing the GPU stack is exactly the threat model).

Exploit ScenarioDerived

An unprivileged local user (or a low-privileged workload in a shared/virtualized GPU environment) issues crafted ioctl or device interactions to the NVIDIA kernel-mode driver that trigger a use-after-free on a freed kernel object. By grooming the kernel heap to reclaim the freed allocation with attacker-controlled data, they corrupt kernel memory to escalate to root, leak kernel memory, or crash the system. No public proof-of-concept is identified in the supplied data.

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

Local privilege escalation in the NVIDIA GPU Display Driver for Linux allows an authenticated unprivileged user to trigger a use-after-free in the kernel mode layer, potentially achieving code execution, denial of service, privilege escalation, information disclosure, and data tampering. The flaw is reachable only by a locally authenticated low-privileged account (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) that can issue ioctls to the GPU kernel-mode device interface; there is no remote attack path and no user interaction is required once a foothold exists. The 'Guest Driver' classification makes the issue most consequential in virtualized/vGPU and multi-tenant datacenter environments, where a low-privileged guest can reach the shared GPU driver. No public exploit identified at time of analysis, and the vendor advisory is the authoritative source for fixed driver versions.

RemediationAI

Patch available per vendor advisory: because the input does not supply an exact fixed driver version, the authoritative remediation is to determine the affected driver branch from the NVIDIA advisory at https://github.com/NVIDIA/product-security/tree/main/2026/5861 and upgrade each exposed GeForce, RTX/Quadro/NVS, or Tesla Linux driver to the version NVIDIA lists as fixed for that branch; do not rely on a version number not stated in the advisory. Until upgrades can be completed, the practical compensating control is to reduce who can reach the kernel-mode interface that triggers the UAF: restrict access to the /dev/nvidia* device nodes (tighten permissions/ownership and place only trusted accounts in the relevant group), since the vulnerability is unreachable without a local authenticated principal able to issue ioctls to those nodes - the trade-off is that legitimate non-root GPU workloads (compute jobs, containerized processes, X/Wayland sessions) lose access unless explicitly granted. In virtualized or multi-tenant environments, confine untrusted workloads to guests whose GPU driver stack has been updated first and rely on hypervisor-level isolation rather than guest credentials, acknowledging that a shared/vGPU configuration still places the host-side driver within the threat model. Note the assessed exploitation conditions: PR:L means a foothold is required, AV:L means there is no remote path, and kernel UAF reliability depends on heap grooming and race timing, so detection should focus on unusual ioctl activity and local privilege-escalation behavior from low-privileged accounts rather than on network-facing indicators.

Affected VersionsENISA

Guest driver 580.159.03(All versions prior to and including vGPU 19.5)
Guest driver 582.53(All versions prior to and including vGPU 19.5)
Guest driver 595.71.05(All versions prior to and including vGPU 20.1)
Tesla All driver versions prior to 610.57.04
RTX, Quadro, NVS All driver versions prior to 615.71.09
GeForce All driver versions prior to 595.91.07
GeForce All driver versions prior to 580.178.04
Tesla All driver versions prior to 615.71.09
RTX, Quadro, NVS All driver versions prior to 610.57.04
Tesla All driver versions prior to 580.178.04
GeForce All driver versions prior to 610.57.04
GeForce All driver versions prior to 615.71.09
RTX, Quadro, NVS All driver versions prior to 580.178.04
RTX, Quadro, NVS All driver versions prior to 595.91.07
Tesla All driver versions prior to 595.91.07
Guest driver 596.36(All versions prior to and including vGPU 20.1)

Affected Packages

euvd geforce_all_driver_versions_prior_to no fix
euvd rtx_quadro_nvs_all_driver_versions_prior_to no fix
euvd tesla_all_driver_versions_prior_to no fix

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 vulnerability is a use-after-free (CWE-416) in the kernel mode layer (kernel-space portion) of the NVIDIA GPU Display Driver for Linux. The kernel mode layer exposes GPU operations to user space through device nodes such as /dev/nvidia* and their ioctl interfaces; an unprivileged caller can induce the driver to free an object and then reference it again, which in kernel space generally means corrupted memory management with a range of downstream outcomes. The unprivileged-to-kernel (and, in the 'Guest Driver' case, unprivileged-guest-to-host-driver) boundary explains the elevated impact ratings across confidentiality, integrity, and availability (C:H/I:H/A:H). Successful exploitation typically requires careful heap grooming and race timing to control the contents of the reallocated memory, which is why kernel UAF exploits of this class are powerful but not always reliable. Affected branches span consumer and professional/datacenter silicon: GeForce, RTX/Quadro/NVS, and Tesla, as reflected in the CPE data (cpe:2.3:a:nvidia:geforce, cpe:2.3:a:nvidia:rtx,_quadro,_nvs, cpe:2.3:a:nvidia:tesla). In virtualized deployments, the 'Guest Driver' tag indicates the vulnerable code is reachable from inside a guest VM sharing a physical GPU, making isolation between tenants a direct security concern.

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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 unprivileged trigger of a kernel-mode UAF (AV:L/PR:L/UI:N) yielding code execution and full C/I/A impact within the OS scope (S:U).

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 7.8 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 GPU Display Driver for Linux contains a vulnerability in the kernel mode layer where an unprivileged user could cause a use-after-free. 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

The NVIDIA GPU Display Driver for Linux contains a high-severity local privilege escalation vulnerability that allows an authenticated low-privileged user to execute code in the kernel, potentially compromising data confidentiality, integrity, and availability. This is particularly concerning for organizations running virtualized or multi-tenant GPU environments, where a guest user could break isolation and affect other tenants or the host. Leadership should prioritize mitigating this risk because a successful exploit could lead to full system compromise and service disruption.

Business Impact: High
Compensating Controls

No vendor-released patch identified at time of analysis; interim mitigations include restricting local access to GPU kernel-mode devices (e.g., via strict file permissions or container isolation), enforcing least privilege for local accounts, monitoring for anomalous ioctl calls or driver crashes, and isolating GPU workloads in multi-tenant environments using hardware partitioning or separate hosts where feasible.

Threat Intelligence Overview

EPSS Score
0.2%
Top 93% exploitable
Prevalence
High
NVIDIA proprietary GPU drivers ubiquitous on Linux GPU/AI/datacenter and workstation hosts
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
Scheduled
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

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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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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