Nvidia GPU Driver Flaws Enable Privilege Escalation Across Platforms

Nvidia has issued a security update to address several high-severity vulnerabilities in its GPU display driver stack that could allow attackers to execute arbitrary code and escalate privileges on affected systems. 

The issues impact both Windows and Linux environments and also reach into Nvidia’s virtualization and cloud gaming platforms.

Successful exploitation of any of the vulnerabilities could lead to “… code execution, escalation of privileges, data tampering, denial of service, and information disclosure,” said Nvidia in its security advisory.

Inside the Nvidia GPU Driver Flaws

The vulnerabilities affect a broad range of widely deployed Nvidia GPUs across consumer, enterprise, and cloud environments, including GeForce, RTX, Quadro, NVS, and Tesla product lines. 

Because GPU drivers operate at the kernel level, successful exploitation can grant attackers deep system access.

Organizations that depend on GPU-enabled workloads — including AI and machine learning, virtualization, engineering, and cloud gaming — face heightened risk due to the critical role GPUs play in their infrastructure.

At the core of the disclosure are multiple memory-safety issues, specifically use-after-free and integer overflow vulnerabilities. 

CVE-2025-33217

On Windows systems, CVE-2025-33217 affects the Nvidia Display Driver and allows a local attacker to trigger a use-after-free condition. 

If exploited successfully, this flaw could enable arbitrary code execution, privilege escalation, data manipulation, denial-of-service conditions, or the disclosure of sensitive information. 

The vulnerability has a CVSS score of 7.8 and requires only low-level privileges to exploit.

CVE-2025-33218

A second high-severity Windows flaw, CVE-2025-33218, resides in the kernel-mode driver component nvlddmkm.sys. 

This vulnerability stems from an integer overflow condition that could be triggered by a local attacker. 

As with CVE-2025-33217, successful exploitation could enable code execution and privilege escalation, as well as data tampering, system instability, or information disclosure. 

The vulnerability also carries a CVSS score of 7.8 and shares the same low attack complexity.

CVE-2025-33219

Another vulnerability, CVE-2025-33219, affects the Nvidia kernel module on Linux platforms and involves an integer overflow or wraparound flaw. 

Exploitation could allow attackers to execute code at elevated privilege levels, disrupt system availability, or access protected data. 

The vulnerability spans multiple Linux driver branches, including R590, R580, R570, and R535, placing a wide range of enterprise and cloud deployments at risk. This flaw carries the same CVSS score of 7.8.

CVE-2025-33220

CVE-2025-33220 impacts Nvidia’s Virtual GPU Manager and introduces a scenario in which a malicious guest virtual machine could potentially escape its isolation and compromise the underlying hypervisor. 

This use-after-free vulnerability affects enterprise virtualization platforms such as VMware vSphere, XenServer, Red Hat Enterprise Linux KVM, and Ubuntu-based deployments. 

Nvidia’s Cloud Gaming platform is also affected due to shared virtualization components.

At the time of disclosure, Nvidia said it was not aware of any active exploitation and did not identify any publicly available proof-of-concept code. 

Reducing Risk From Nvidia GPU Vulnerabilities

While applying patches remains essential, additional controls can help reduce exposure, improve visibility into potential exploitation, and limit impact.

• Apply the latest patch across all affected Windows, Linux, vGPU, and cloud gaming environments using official Nvidia distribution portals.
• Monitor systems for abnormal GPU driver behavior, kernel-level crashes, unexpected privilege escalation, and VM-to-host activity that may indicate exploitation attempts.
• Enforce least-privilege access and restrict local user permissions on GPU-enabled systems, particularly shared workstations, servers, and remote access environments.
• Strengthen kernel and endpoint protections by enabling exploit mitigation features, attack surface reduction rules, and mandatory access controls.
• Improve isolation in virtualized and vGPU environments by reducing shared GPU density, separating untrusted workloads, and tightening hypervisor security controls.
• Temporarily limit or disable GPU access on systems that do not require acceleration to reduce the exposed attack surface during patch rollout.
• Validate and regularly test incident response plans to ensure teams can quickly detect, contain, and recover from kernel-level or virtualization-based compromise scenarios.

Collectively, these measures can help organizations limit the blast radius of potential GPU driver exploitation while strengthening overall resilience against future kernel-level and virtualization-based threats.

GPU Drivers Are Now a Core Security Risk

The Nvidia GPU driver vulnerabilities underscore how integral graphics drivers have become to core enterprise infrastructure and why they warrant the same level of attention as other kernel-level components. 

Even without evidence of active exploitation, the low attack complexity combined with the potential for significant impact makes timely patching and layered security controls an important priority. 

These risks reinforce the value of security models like zero-trust, which assume compromise and focus on limiting access and impact across all layers of the environment.