CVE-2026-47543 in GeForce
Summary
by MITRE • 09/30/2026
VIDIA GPU Display Driver for Windows and Linux contains a vulnerability in the kernel mode layer where an attacker could cause improper input validation. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.
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Analysis
by VulDB Data Team • 09/30/2026
The identified vulnerability resides within the kernel-mode components of NVIDIA GPU Display Drivers for both Windows and Linux operating systems. This specific flaw is characterized by improper input validation mechanisms that fail to adequately sanitize or verify user-supplied data before it is processed by privileged system routines. In modern computing architectures, particularly those involving hardware acceleration like GPUs, the boundary between user-space applications and kernel-space drivers represents a critical security perimeter. When this perimeter is breached due to insufficient checks on incoming parameters, an attacker can manipulate internal driver states in unintended ways. The root cause lies in the complexity of handling diverse input streams from various display interfaces and application programming interfaces without rigorous type checking or bounds verification, creating a pathway for malicious actors to exploit these logical gaps.
The operational impact of this vulnerability is severe due to its location within kernel-mode code. A successful exploitation allows an attacker to execute arbitrary code with high privileges, effectively gaining control over the underlying operating system. This capability extends beyond simple remote execution; it facilitates privilege escalation from a standard user account to that of a system administrator or root level access. Furthermore, the vulnerability can be leveraged to cause denial of service conditions by crashing the graphics subsystem or the entire kernel, leading to significant downtime and loss of productivity for affected systems. The ability to tamper with data introduces risks related to integrity violations, where critical information stored on the device may be altered without authorization. Additionally, improper input handling often leads to memory corruption issues that can result in sensitive information disclosure, potentially exposing cryptographic keys or other confidential system data residing in kernel memory spaces.
From a classification perspective, this vulnerability aligns with CWE-20 Improper Input Validation and frequently intersects with CWE-119 Buffer Overflow vulnerabilities if the validation failure results in writing beyond allocated memory boundaries. In terms of offensive security frameworks such as MITRE ATT&CK, this flaw supports techniques associated with Privilege Escalation via Kernel Exploitation and potentially Remote Code Execution depending on whether the input vector is local or remote. The presence of such a vulnerability in widely deployed GPU drivers highlights the risk inherent in third-party kernel modules that interact directly with hardware resources. Organizations must recognize that graphics drivers are not merely display utilities but complex software stacks that require rigorous security auditing similar to any other critical system component.
Mitigation strategies should prioritize immediate patching through official driver updates provided by NVIDIA, which typically include fixes for these validation logic errors alongside performance improvements. System administrators should enforce strict update policies to ensure all endpoints running affected drivers are brought up to date with the latest secure versions. In environments where immediate patching is not feasible, network segmentation and application whitelisting can help reduce the attack surface by limiting which processes have access to GPU resources or display interfaces. Additionally, enabling kernel-level exploit mitigation technologies such as Kernel Address Space Layout Randomization (KASLR) and Data Execution Prevention (DEP) can provide layered defense mechanisms that make exploitation of this specific input validation flaw more difficult for attackers attempting to achieve code execution or privilege escalation goals.