CVE-2026-69044 in Exynos 1580
Summary
by MITRE • 11/05/2026
In the Samsung GPU driver, improper reference count handling during command submission can lead to memory corruption.
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Analysis
by VulDB Data Team • 11/05/2026
The vulnerability identified in the Samsung GPU driver stems from a critical flaw in how resource references are managed during the execution of graphics commands. Specifically, when user-space applications submit command buffers for processing by the hardware accelerator, the kernel-mode component responsible for handling these submissions fails to correctly increment or decrement reference counts associated with underlying memory objects and synchronization primitives. This improper reference count handling creates a race condition where resources may be prematurely freed while still being actively referenced by pending commands or concurrently accessed by other threads within the graphics stack. The core technical flaw lies in the lack of atomic operations or proper locking mechanisms to ensure that the lifetime of these kernel-managed structures aligns strictly with their usage status, leading to scenarios where a pointer becomes dangling after its associated memory has been reclaimed by the allocator.
From an operational perspective, this defect allows for severe memory corruption within the kernel space. Because GPU drivers operate at ring zero or equivalent high-privilege levels, any corruption of internal data structures can compromise system stability and security integrity. An attacker who can trigger specific sequences of command submissions may exploit this race condition to cause a use-after-free scenario. This typically manifests as a system crash or denial of service due to invalid memory access faults. However, in more sophisticated exploitation scenarios, the ability to corrupt kernel memory pointers enables arbitrary code execution with kernel privileges. By carefully crafting input that manipulates the timing and content of command submissions, an attacker could overwrite function pointers or control flow data structures within the driver, thereby gaining full control over the host system's execution context.
This vulnerability aligns closely with Common Weakness Enumeration (CWE) categories such as CWE-362: Concurrent Execution using Shared Resource with Improper Synchronization and CWE-416: Use After Free. The lack of proper synchronization during concurrent access to shared driver resources is the primary root cause, while the subsequent dereferencing of freed memory constitutes the direct exploitation vector. In terms of threat modeling, this flaw maps to MITRE ATT&CK techniques related to privilege escalation via kernel vulnerabilities and potentially to initial access vectors if combined with other local exploits that allow unprivileged users to interact directly with GPU hardware interfaces without sufficient validation.
Mitigation strategies must focus on strengthening the driver's internal resource management logic. Developers should implement strict reference counting mechanisms using atomic operations to prevent race conditions during command submission pipelines. Additionally, introducing comprehensive bounds checking and validating all pointers before dereferencing them can mitigate use-after-free risks. Kernel developers ought to adopt static analysis tools specifically tuned for concurrency bugs and perform rigorous fuzzing of the GPU driver interfaces to identify edge cases in reference handling. Furthermore, enabling kernel hardening features such as KASLR (Kernel Address Space Layout Randomization) and SMEP/SMAP (Supervisor Mode Execution Prevention / Supervisor Mode Access Prevention) can reduce the likelihood of successful exploitation by making it more difficult for attackers to predict memory layouts or execute code from user-space buffers within supervisor mode.