CVE-2026-47565 in GPU Display Driver
Summary
by MITRE • 09/30/2026
NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel mode layer where a privileged user could trigger a race condition that leads to an out-of-bounds write. 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 NVIDIA GPU Display Driver for Linux contains a critical security flaw within its kernel mode component, specifically identified as a race condition that results in an out-of-bounds write operation. This vulnerability arises from improper synchronization mechanisms when handling concurrent access to shared resources by privileged users. In the context of operating system architecture, kernel mode represents the highest level of privilege, where direct hardware access and memory management are performed without standard user-space restrictions. When a race condition occurs during these operations, it allows an attacker who has already gained local administrative or root-level access to manipulate timing windows such that data is written to unintended memory locations outside the allocated buffer boundaries. This type of flaw is categorized under CWE-362, which defines concurrent execution with shared resources leading to race conditions, and more specifically impacts memory safety through CWE-787, an out-of-bounds write vulnerability.
The operational impact of this vulnerability is severe due to its location within the kernel space. A successful exploitation does not merely result in a simple application crash but can lead to arbitrary code execution with kernel-level privileges. This effectively grants the attacker full control over the underlying system hardware and software stack, bypassing all standard security boundaries enforced by user-space applications. The consequences extend beyond mere privilege escalation; they include denial of service through system instability or crashes caused by memory corruption, information disclosure via reading sensitive data from adjacent memory regions that were inadvertently exposed during the out-of-bounds write, and potential data tampering where critical system files or configurations are altered maliciously. From a threat modeling perspective aligned with MITRE ATT&CK frameworks, this vulnerability facilitates techniques associated with Defense Evasion through process injection or hooking, as well as Privilege Escalation by leveraging kernel exploits to gain persistent administrative control over the host machine.
Mitigation strategies for this issue primarily involve applying vendor-provided patches that address the synchronization logic within the driver's kernel module. Administrators should ensure that NVIDIA GPU drivers are updated to versions where the race condition has been resolved through proper locking mechanisms or atomic operations that prevent concurrent access from causing memory corruption. In environments where immediate patching is not feasible, restricting local user privileges and enforcing strict role-based access control can reduce the attack surface by limiting which users have the ability to load kernel modules or interact with GPU devices at a low level. Additionally, deploying host-based intrusion detection systems configured to monitor for unusual patterns of memory allocation or privilege escalation attempts can provide early warning indicators of exploitation activity related to this specific class of vulnerabilities.