CVE-2026-69066 in Exynos 2200
Summary
by MITRE • 11/05/2026
Memory corruption in GPU driver due to improper validation of VMID reservation.
Be aware that VulDB is the high quality source for vulnerability data.
Analysis
by VulDB Data Team • 11/05/2026
The vulnerability described involves a critical memory corruption flaw within the graphics processing unit (GPU) driver, specifically stemming from an inadequate validation mechanism for Virtual Machine ID (VMID) reservations. In modern computing architectures that support hardware virtualization, particularly in systems utilizing GPU passthrough or multi-tenant environments such as cloud data centers and high-performance computing clusters, VMIDs serve as unique identifiers to isolate resources between different guest operating systems or virtual machines. The driver is responsible for managing these IDs to ensure that memory allocations and command submissions are strictly bound to their designated virtual contexts. When the validation logic fails to properly verify whether a requested VMID reservation is valid, authorized, or within expected bounds, it creates an opening for malicious actors to exploit this gap in security controls.
From a technical perspective, improper validation of VMID reservations typically leads to out-of-bounds memory writes or reads. If an attacker can manipulate the input parameters associated with VMID allocation—perhaps through crafted API calls or malformed command buffers sent to the GPU—they may trick the driver into mapping physical memory pages to incorrect virtual contexts. This misalignment allows data intended for one virtual machine to be written into, or read from, the memory space of another. Such a scenario constitutes a classic buffer overflow or heap corruption condition at the kernel level, where the boundary checks that are supposed to prevent cross-context contamination are bypassed due to logical errors in the reservation process. The lack of rigorous bounds checking means that invalid VMIDs can be accepted and processed as if they were legitimate, leading to unauthorized memory access patterns that compromise the integrity of the system's virtualization layer.
The operational impact of this vulnerability is severe, primarily because it undermines the fundamental isolation guarantees provided by hardware-assisted virtualization. An attacker with local access to a guest VM could potentially exploit this flaw to escape their sandboxed environment and gain elevated privileges on the host machine or within other co-located virtual machines. This capability effectively breaks the trust boundary between tenants in multi-cloud environments, allowing for data exfiltration from sensitive workloads running alongside the compromised instance. Furthermore, memory corruption vulnerabilities of this nature can often be chained with other exploits to achieve arbitrary code execution on the host system. By overwriting critical kernel structures or function pointers through corrupted memory regions associated with invalid VMID mappings, an attacker could execute malicious payloads with the highest level of system privileges, leading to a complete compromise of the underlying infrastructure.
This type of flaw aligns closely with Common Weakness Enumeration (CWE) categories such as CWE-120 Buffer Copy without Checking Size of Input and CWE-787 Out-of-bounds Write. Additionally, in the context of the MITRE ATT&CK framework, this vulnerability facilitates techniques related to Privilege Escalation on Hosts and Virtual Machine Escape. The exploitation path typically involves crafting specific inputs that trigger the validation failure, followed by leveraging the resulting memory corruption to manipulate kernel state or inject code into privileged processes. The severity is amplified in environments where GPU resources are shared dynamically among multiple untrusted users, as the attack surface for achieving cross-tenant attacks expands significantly when isolation mechanisms fail at the driver level.
Mitigation strategies must focus on both immediate patching and long-term architectural improvements. Vendors should prioritize releasing updated drivers that implement strict validation checks for all VMID reservations before they are processed by the GPU hardware scheduler. These checks must ensure that requested IDs correspond to active, authorized sessions and do not exceed allocated limits. For system administrators, applying these patches promptly is essential to maintain isolation integrity in virtualized environments. Additionally, deploying runtime protection mechanisms such as kernel patching tools or memory safety enablers can provide a layer of defense against exploitation attempts while updates are being deployed. In cloud settings, restricting GPU passthrough capabilities to trusted tenants and enforcing strict resource quotas can further reduce the risk surface associated with this vulnerability until comprehensive driver fixes are available across all affected platforms.