Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2026-22164

CVE-2026-22164: GPU Kernel Privilege Escalation Vulnerability

CVE-2026-22164 is a privilege escalation flaw in GPU kernel interfaces allowing non-privileged users to corrupt kernel heap memory through improper system calls. This article covers technical details, impact, and mitigation.

Published:

CVE-2026-22164 Overview

CVE-2026-22164 is a heap-based memory corruption vulnerability [CWE-122] affecting GPU driver components. Software running as a non-privileged user can issue improper GPU system calls that corrupt kernel heap memory. The flaw is referenced in the Imagination Tech GPU Vulnerabilities advisory.

An attacker creates resources of certain types and supplies a crafted set of parameters to the affected interface. Processing those parameters corrupts kernel heap structures, leading to availability impact on the host system.

Critical Impact

A non-privileged local process can corrupt kernel heap memory through the GPU driver interface, producing a high-impact availability failure of the affected kernel.

Affected Products

  • Imagination Technologies GPU drivers (per vendor advisory)
  • Systems integrating affected GPU kernel driver components
  • Specific version ranges not enumerated in the NVD record

Discovery Timeline

  • 2026-06-08 - CVE-2026-22164 published to NVD
  • 2026-06-09 - Last updated in NVD database

Technical Details for CVE-2026-22164

Vulnerability Analysis

The vulnerability is a heap-based memory corruption in a GPU kernel driver interface. A user-mode process with no special privileges can invoke GPU system calls and reach kernel-resident handling code. When specific resource types are allocated and combined with crafted parameters, the driver mishandles bounds or sizing, writing outside the intended kernel heap allocation.

The NVD record characterizes the impact as availability-only, with no confidentiality or integrity loss expected from the direct corruption. In practice, heap corruption in kernel context typically produces kernel panics, watchdog resets, or device hangs. The Common Weakness Enumeration classification of [CWE-122] places this in the heap-overflow family.

The EPSS estimate at publication is low, and no public exploit code is currently referenced. The vulnerability is locally reachable by any code running on the system, including sandboxed user processes that retain access to GPU device nodes.

Root Cause

The root cause is improper validation of parameters passed through the GPU system call interface during resource creation. The driver trusts attacker-controlled fields that influence heap allocation or copy operations. Without sufficient bounds checks, the kernel allocator's metadata or adjacent objects are overwritten.

Attack Vector

Exploitation requires local code execution as an unprivileged user. The attacker opens the GPU device interface, creates resources of specific types, and submits a parameter set that triggers the corrupting code path. No user interaction is needed once the malicious process is running. Refer to the Imagination Tech advisory for interface-specific technical details.

Detection Methods for CVE-2026-22164

Indicators of Compromise

  • Unexpected kernel panics, oops messages, or GPU driver watchdog resets referencing the GPU kernel module
  • Repeated crashes of processes that hold open handles to GPU device nodes
  • Kernel log entries showing heap corruption, slab poisoning, or allocator inconsistency near GPU driver symbols

Detection Strategies

  • Monitor kernel ring buffer (dmesg) for GPU driver fault traces, BUG_ON triggers, and SLUB/SLAB corruption warnings
  • Hunt for non-privileged processes opening GPU device files and issuing high volumes of resource-creation ioctls in short windows
  • Correlate GPU driver crash signatures across fleets to identify exploit attempts versus benign faults

Monitoring Recommendations

  • Enable kernel crash dump collection so heap corruption events can be triaged post-incident
  • Forward kernel logs and EDR telemetry to a centralized analytics platform for cross-host correlation
  • Track process lineage for any code calling GPU ioctls from sandboxed, browser, or container contexts

How to Mitigate CVE-2026-22164

Immediate Actions Required

  • Inventory all systems running affected Imagination Technologies GPU drivers and prioritize patching
  • Apply vendor-supplied driver updates referenced in the Imagination Tech GPU Vulnerabilities advisory
  • Restrict access to GPU device nodes for workloads that do not require GPU acceleration

Patch Information

Imagination Technologies tracks driver fixes on its GPU driver vulnerabilities page. Downstream system-on-chip vendors and OS integrators ship the corrected driver as part of their own security updates. Confirm the integrated driver version against the vendor advisory before declaring a host remediated.

Workarounds

  • Constrain GPU device access using filesystem permissions or mandatory access control policies so only trusted users can issue GPU system calls
  • Disable GPU acceleration in untrusted workloads, including browser sandboxes and container runtimes, until the patched driver is deployed
  • Apply seccomp or equivalent syscall filtering to block GPU ioctls from processes that do not require them
bash
# Configuration example: restrict GPU device node access to a trusted group
sudo chgrp gpu-users /dev/dri/renderD128
sudo chmod 0660 /dev/dri/renderD128
# Remove general users from gpu-users until patched drivers are deployed

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.