CVE-2026-65586 in Graphics DDK
Summary
by MITRE • 10/30/2026
Software installed and run as a non-privileged user may conduct improper GPU system calls to free memory in still in use, replace with another allocation and cause arbitrary memory reads or writes to physical memory pages.
A memory buffer managed by a CPU thread of control (driver) and accessed by a GPU thread of control (firmware) can be freed while in use. Software installed and run as a non-privileged user may replace that buffer with another and replace a shared resource (memory page address list) managed by the CPU thread of control (driver) leading to the GPU accessing memory not managed by the CPU thread of control (driver).
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Analysis
by VulDB Data Team • 10/30/2026
The vulnerability described represents a critical race condition within the interaction between operating system drivers and graphics processing unit firmware, specifically involving improper handling of shared memory buffers. This flaw arises from a lack of synchronization mechanisms when managing resources that are concurrently accessed by two distinct threads of control: the CPU thread executing privileged driver code and the GPU thread executing firmware instructions. In this scenario, the CPU-side driver manages a memory buffer intended for use by the GPU, but fails to ensure exclusive access or proper reference counting during deallocation processes. Consequently, it is possible for the system to free physical memory pages that are still actively being read from or written to by the GPU hardware. This fundamental violation of resource lifecycle management creates an opportunity for arbitrary memory reads and writes, as the GPU continues to operate on addresses that have been returned to the general pool of available memory without proper invalidation or isolation.
From a technical perspective, this issue is classified under CWE-416, Use After Free, which occurs when software uses memory after it has been freed, leading to undefined behavior and potential security breaches. The specific mechanism involves replacing a shared resource, such as a list of physical memory page addresses managed by the driver, with an allocation controlled by non-privileged user-space software. When the GPU firmware subsequently accesses these replaced or stale pointers, it bypasses the CPU-side validation checks that are normally enforced by the operating system kernel. This allows untrusted code running at lower privilege levels to manipulate hardware-level memory access patterns, effectively bridging the gap between user space and physical hardware resources. The ability to read from arbitrary physical memory pages can lead to information disclosure of sensitive data residing in other processes or the kernel itself, while write capabilities enable potential escalation of privileges by modifying critical system structures or injecting malicious code into protected regions.
The operational impact of this vulnerability is severe, particularly on systems where GPU acceleration is heavily utilized for compute tasks, rendering, or machine learning workloads that involve complex memory management schemes. An attacker with local access to the system can exploit this race condition to achieve arbitrary read/write primitives in physical memory space. This capability undermines the core security model of modern operating systems by allowing non-privileged processes to interfere with hardware operations and kernel data structures. Such exploitation could lead to complete system compromise, including the extraction of cryptographic keys, session tokens, or other sensitive information stored in RAM that is not properly isolated from GPU-accessible memory regions. Furthermore, because this involves low-level driver interactions, it may affect a wide range of devices depending on the specific graphics hardware and driver implementations involved, potentially impacting stability by causing system crashes if corrupted data structures are accessed during normal operation.
Mitigation strategies for this vulnerability require both immediate software patches and long-term architectural improvements in how GPU drivers manage shared resources. The primary defense is to implement strict synchronization primitives, such as mutexes or atomic operations, around the allocation and deallocation of memory buffers that are accessible by both CPU and GPU threads. Drivers must ensure that any buffer slated for freeing is first invalidated from the GPU's view, often through cache flushing commands or explicit unmap operations, before returning the physical pages to the system allocator. Additionally, implementing hardware-enforced isolation features, such as IOMMU (Input-Output Memory Management Unit) configurations with strict access controls, can prevent unauthorized memory accesses even if software logic fails. Security researchers and developers should also adopt defensive programming practices that validate pointer validity at every stage of GPU command submission to detect stale references early.
In terms of industry standards mapping, this vulnerability aligns closely with MITRE ATT&CK technique T1055, Process Injection, specifically when leveraging memory manipulation techniques like T1055.012 or T1499, Endpoint Denial of Service via resource exhaustion if the race condition causes system instability. It also relates to privilege escalation vectors where local attackers exploit kernel vulnerabilities to gain higher privileges on the target system. Organizations should prioritize applying vendor-provided driver updates that address these synchronization issues and monitor for unusual GPU memory access patterns using endpoint detection and response tools configured to flag anomalies in hardware-accelerated process behavior. Regular auditing of graphics subsystem code against CWE-416 guidelines is essential to prevent similar race conditions from being introduced during future development cycles, ensuring robust protection against low-level exploitation attempts targeting the boundary between user-space applications and kernel-mode drivers.