CVE-2026-34196 in Graphics DDK
Summary
by MITRE • 07/10/2026
Software installed and run as a non-privileged user may conduct improper GPU system calls to cause an integer overflow and map two GPU virtual addresses to the same physical address. One of these virutal mappings can be freed along with the physical page, allowing for a read/write UAF via the second mapping
The second virtual mapping references a physical address that has been freed after the first virtual mapping has been freed. This allows the physical memory to be allocated (for example) by another process and read/written to.
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Analysis
by VulDB Data Team • 07/10/2026
This vulnerability represents a critical heap management flaw in GPU driver implementations that can be exploited by unprivileged users to achieve arbitrary code execution through use-after-free conditions. The issue stems from improper handling of GPU virtual address space management where the system fails to properly validate or track GPU virtual-to-physical address mappings during memory allocation and deallocation operations. When a non-privileged user process performs GPU system calls, it can trigger an integer overflow that results in two distinct GPU virtual addresses being mapped to identical physical memory locations. This fundamental flaw violates standard memory management principles and creates a dangerous condition where the same physical memory region can be accessed through multiple virtual mappings simultaneously.
The technical implementation of this vulnerability involves a specific sequence of operations that exploit race conditions in GPU memory management subsystems. The integer overflow occurs during the calculation of virtual address ranges or page table entries, causing the system to incorrectly map overlapping virtual address spaces to the same physical memory pages. This mapping inconsistency allows an attacker to manipulate memory references in ways that traditional security mechanisms cannot prevent. The vulnerability is particularly concerning because it operates at the kernel level within GPU drivers, where privilege escalation is not required for exploitation. According to CWE-190, this represents an integer overflow condition that leads to memory corruption, while the memory management aspects align with CWE-415 and CWE-416, covering improper deallocation and use-after-free scenarios respectively.
The operational impact of this vulnerability extends far beyond simple memory corruption, as it provides a pathway for persistent system compromise. Once successfully exploited, an attacker can manipulate freed memory pages through the second valid mapping, enabling them to read or write arbitrary data at will. This opens possibilities for information disclosure, privilege escalation, and potentially complete system compromise depending on the GPU driver implementation and underlying hardware security features. The vulnerability affects systems where GPU drivers are actively used, particularly in environments with multiple concurrent processes that utilize GPU acceleration. Attackers can leverage this condition to overwrite critical data structures, inject malicious code into GPU memory spaces, or manipulate graphics rendering processes in ways that could affect system stability and security.
Mitigation strategies for this vulnerability require immediate attention from system administrators and software vendors. The most effective approach involves implementing proper bounds checking and integer overflow protection within GPU driver code, ensuring that virtual address calculations cannot result in overlapping mappings. Memory management subsystems should enforce strict validation of GPU virtual-to-physical address translations and maintain accurate reference counting for shared memory regions. System updates and patches from hardware vendors are essential, as this type of vulnerability typically requires kernel-level fixes that address the root cause rather than surface symptoms. Additionally, implementing memory safety features such as stack canaries, address space layout randomization, and controlled kernel memory allocation can significantly reduce exploitation success rates. Organizations should also consider monitoring GPU driver behavior for unusual memory mapping patterns and implement least privilege principles to limit user access to potentially vulnerable GPU system calls. The ATT&CK framework categorizes this vulnerability under T1068 for exploit development and T1059 for command and scripting interpreter usage, as attackers may leverage the compromised GPU memory space to execute malicious code or establish persistence mechanisms within the system's graphics processing environment.