A Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection. Six years running.Six years. Gartner® Magic Quadrant™ Leader.Find Out Why
Experiencing a Breach?Blog
Get StartedContact Us
SentinelOne
  • Platform
    Platform Overview
    • Singularity Platform
      Welcome to Integrated Enterprise Security
    • AI for Security
      Leading the Way in AI-Powered Security Solutions
    • Securing AI
      Accelerate AI Adoption with Secure AI Tools, Apps, and Agents.
    • How It Works
      The Singularity XDR Difference
    • Singularity Marketplace
      One-Click Integrations to Unlock the Power of XDR
    • Pricing & Packaging
      Comparisons and Guidance at a Glance
    Data & AI
    • Purple AI
      Accelerate SecOps with Generative AI
    • Singularity Hyperautomation
      Easily Automate Security Processes
    • AI-SIEM
      The AI SIEM for the Autonomous SOC
    • AI Data Pipelines
      Security Data Pipeline for AI SIEM and Data Optimization
    • Singularity Data Lake
      AI-Powered, Unified Data Lake
    • Singularity Data Lake for Log Analytics
      Seamlessly Ingest Data from On-Prem, Cloud or Hybrid Environments
    Endpoint Security
    • Singularity Endpoint
      Autonomous Prevention, Detection, and Response
    • Singularity XDR
      Native & Open Protection, Detection, and Response
    • Singularity RemoteOps Forensics
      Orchestrate Forensics at Scale
    • Singularity Threat Intelligence
      Comprehensive Adversary Intelligence
    • Singularity Vulnerability Management
      Application & OS Vulnerability Management
    • Singularity Identity
      Identity Threat Detection and Response
    Cloud Security
    • Singularity Cloud Security
      Block Attacks with an AI-Powered CNAPP
    • Singularity Cloud Native Security
      Secure Cloud and Development Resources
    • Singularity Cloud Workload Security
      Real-Time Cloud Workload Protection Platform
    • Singularity Cloud Data Security
      AI-Powered Threat Detection for Cloud Storage
    • Singularity Cloud Security Posture Management
      Detect and Remediate Cloud Misconfigurations
    Securing AI
    • Prompt Security
      Secure AI Tools Across Your Enterprise
  • Why SentinelOne?
    Why SentinelOne?
    • Why SentinelOne?
      Cybersecurity Built for What’s Next
    • Our Customers
      Trusted by the World’s Leading Enterprises
    • Industry Recognition
      Tested and Proven by the Experts
    • About Us
      The Industry Leader in Autonomous Cybersecurity
    Compare SentinelOne
    • Arctic Wolf
    • Broadcom
    • CrowdStrike
    • Cybereason
    • Microsoft
    • Palo Alto Networks
    • Sophos
    • Splunk
    • Trellix
    • Trend Micro
    • Wiz
    Verticals
    • Energy
    • Federal Government
    • Finance
    • Healthcare
    • Higher Education
    • K-12 Education
    • Manufacturing
    • Retail
    • State and Local Government
  • Services
    Managed Services
    • Managed Services Overview
      Wayfinder Threat Detection & Response
    • Threat Hunting
      World-Class Expertise and Threat Intelligence
    • Managed Detection & Response
      24/7/365 Expert MDR Across Your Entire Environment
    • Incident Readiness & Response
      DFIR, Breach Readiness, & Compromise Assessments
    Support, Deployment, & Health
    • Technical Account Management
      Customer Success with Personalized Service
    • SentinelOne GO
      Guided Onboarding & Deployment Advisory
    • SentinelOne University
      Live and On-Demand Training
    • Services Overview
      Comprehensive Solutions for Seamless Security Operations
    • SentinelOne Community
      Community Login
  • Partners
    Our Network
    • MSSP Partners
      Succeed Faster with SentinelOne
    • Singularity Marketplace
      Extend the Power of S1 Technology
    • Cyber Risk Partners
      Enlist Pro Response and Advisory Teams
    • Technology Alliances
      Integrated, Enterprise-Scale Solutions
    • SentinelOne for AWS
      Hosted in AWS Regions Around the World
    • Channel Partners
      Deliver the Right Solutions, Together
    • SentinelOne for Google Cloud
      Unified, Autonomous Security Giving Defenders the Advantage at Global Scale
    • Partner Locator
      Your Go-to Source for Our Top Partners in Your Region
    Partner Portal→
  • Resources
    Resource Center
    • Case Studies
    • Data Sheets
    • eBooks
    • Reports
    • Videos
    • Webinars
    • Whitepapers
    • Events
    View All Resources→
    Blog
    • Feature Spotlight
    • For CISO/CIO
    • From the Front Lines
    • Identity
    • Cloud
    • macOS
    • SentinelOne Blog
    Blog→
    Tech Resources
    • SentinelLABS
    • Ransomware Anthology
    • Cybersecurity 101
  • About
    About SentinelOne
    • About SentinelOne
      The Industry Leader in Cybersecurity
    • Investor Relations
      Financial Information & Events
    • SentinelLABS
      Threat Research for the Modern Threat Hunter
    • Careers
      The Latest Job Opportunities
    • Press & News
      Company Announcements
    • Cybersecurity Blog
      The Latest Cybersecurity Threats, News, & More
    • FAQ
      Get Answers to Our Most Frequently Asked Questions
    • DataSet
      The Live Data Platform
    • S Foundation
      Securing a Safer Future for All
    • S Ventures
      Investing in the Next Generation of Security, Data and AI
  • Pricing
Get StartedContact Us
CVE Vulnerability Database
Vulnerability Database/CVE-2026-46230

CVE-2026-46230: Linux Kernel AMDGPU VCN3 OOB Vulnerability

CVE-2026-46230 is an out-of-bounds read vulnerability in the Linux kernel's AMDGPU VCN3 driver that occurs during decode message parsing. This article covers technical details, affected versions, and mitigation steps.

Published: May 28, 2026

CVE-2026-46230 Overview

CVE-2026-46230 is an out-of-bounds read vulnerability in the Linux kernel's AMD GPU (amdgpu) driver, specifically in the Video Core Next 3 (VCN3) decoder message parsing path. The flaw resides in the logic that processes decoder messages stored in a buffer object (BO). Without proper bounds checking against the end of the BO, the kernel can read memory beyond the allocated message region. The upstream fix adds bounds validation whenever the message is accessed during decode message parsing.

Critical Impact

A local user with access to the AMD GPU device interface can trigger out-of-bounds reads in kernel memory, potentially leading to information disclosure or kernel instability on affected Linux systems.

Affected Products

  • Linux kernel drm/amdgpu driver — VCN3 decoder message parsing path
  • Linux distributions shipping kernels prior to the stable commits referenced below
  • Systems with AMD GPUs using VCN3 video decode hardware

Discovery Timeline

  • 2026-05-28 - CVE-2026-46230 published to NVD
  • 2026-05-28 - Last updated in NVD database

Technical Details for CVE-2026-46230

Vulnerability Analysis

The vulnerability exists in the AMD GPU VCN3 (Video Core Next, third generation) decoder code path within the Direct Rendering Manager (DRM) subsystem. When userspace submits a decode command, the kernel parses a decoder message structure stored inside a GPU buffer object (BO). The parsing routine accesses fields within this message without consistently verifying that each access remains within the bounds of the BO.

Because the message size is not validated against the end of the BO before each field access, a crafted or truncated message can cause the parser to read past the end of the allocated buffer. This out-of-bounds read [CWE-125] occurs in kernel context and may expose adjacent kernel memory contents to the parser's control flow or cause invalid memory dereferences.

The upstream fix introduces bounds checks against the end of the BO at every point where the message is accessed, ensuring the parser never reads outside the allocated region.

Root Cause

The root cause is missing length validation in the VCN3 decode message handler. The parser assumed message fields were present at expected offsets without confirming that those offsets fell within the BO's mapped size. Any decode submission with a message smaller than expected, or with offsets pointing past the BO end, triggers the out-of-bounds read.

Attack Vector

Exploitation requires local access to the AMD GPU device, typically through /dev/dri/renderD* or /dev/dri/card* nodes accessible to users in the video or render group. An attacker submits a crafted video decode command containing a malformed decoder message inside a buffer object. The kernel parser then reads past the BO boundary while interpreting the message fields.

The vulnerability manifests during decoder message parsing. See the referenced stable kernel commits for the exact code paths and bounds-checking patches.

Detection Methods for CVE-2026-46230

Indicators of Compromise

  • Kernel log entries referencing amdgpu VCN3 decode errors, page faults, or KASAN out-of-bounds read reports near the VCN decode message handling functions
  • Unexpected GPU resets or hangs correlated with userspace processes performing video decode via VA-API or VDPAU
  • Repeated decode submissions from non-multimedia processes accessing /dev/dri/renderD* nodes

Detection Strategies

  • Enable Kernel Address Sanitizer (KASAN) in test environments to surface out-of-bounds reads in the amdgpu VCN3 code paths
  • Audit dmesg for amdgpu warnings, GPU resets, or DRM scheduler timeouts following decode submissions
  • Inventory running kernels against the patched stable commits referenced in this advisory to identify unpatched hosts

Monitoring Recommendations

  • Track access patterns to /dev/dri/renderD* and /dev/dri/card* device nodes, especially from processes outside expected multimedia workflows
  • Monitor for repeated GPU driver crashes or amdgpu ring timeouts in system logs
  • Centralize kernel logs from Linux endpoints and workstations with AMD GPUs to correlate driver anomalies across the fleet

How to Mitigate CVE-2026-46230

Immediate Actions Required

  • Update affected Linux systems to a kernel version that includes the upstream fix from one of the referenced stable branches
  • Restrict membership in the video and render groups to trusted users and service accounts only
  • Where video decode acceleration is not required, consider disabling the amdgpu VCN decoder or blocking access to DRM render nodes for untrusted users

Patch Information

The fix is available in the following Linux kernel stable commits:

  • Kernel Stable Commit 638d3e0
  • Kernel Stable Commit 638e48ee
  • Kernel Stable Commit 870c8738
  • Kernel Stable Commit b1930198
  • Kernel Stable Commit e382e0b8

Apply the kernel update provided by your Linux distribution once the patched version is published, and reboot affected systems to load the fixed kernel.

Workarounds

  • Limit access to DRM render nodes by tightening file permissions and group membership on /dev/dri/renderD*
  • Disable hardware-accelerated video decode for untrusted workloads where feasible, forcing software decoding instead
  • On multi-tenant systems, isolate untrusted users from direct GPU access using sandboxing or container restrictions on device passthrough
bash
# Verify current kernel version and AMD GPU driver status
uname -r
lsmod | grep amdgpu

# Restrict render node access to the render group only
ls -l /dev/dri/renderD*
sudo chmod 0660 /dev/dri/renderD128
sudo chown root:render /dev/dri/renderD128

# After distribution patch is available, update and reboot
sudo apt update && sudo apt upgrade linux-image-generic   # Debian/Ubuntu
sudo dnf update kernel                                    # Fedora/RHEL
sudo reboot

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

  • Vulnerability Details
  • TypeOther

  • Vendor/TechLinux Kernel

  • SeverityNONE

  • CVSS ScoreN/A

  • Known ExploitedNo
  • Impact Assessment
  • ConfidentialityNone
  • IntegrityNone
  • AvailabilityNone
  • Technical References
  • Kernel Stable Commit 638d3e0

  • Kernel Stable Commit 638e48ee

  • Kernel Stable Commit 870c8738

  • Kernel Stable Commit b1930198

  • Kernel Stable Commit e382e0b8
  • Related CVEs
  • CVE-2026-46239: Linux Kernel OV5647 PM Refcount Leak

  • CVE-2026-46235: Linux Kernel saa7164 Memory Vulnerability

  • CVE-2026-46224: Linux Kernel DRM/XE Memory Leak Bug

  • CVE-2026-46207: Linux Kernel vsock/virtio Vulnerability
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.

Try SentinelOne
  • Get Started
  • Get a Demo
  • Product Tour
  • Why SentinelOne
  • Pricing & Packaging
  • FAQ
  • Contact
  • Contact Us
  • Customer Support
  • SentinelOne Status
  • Language
  • Platform
  • Singularity Platform
  • Singularity Endpoint
  • Singularity Cloud
  • Singularity AI-SIEM
  • Singularity Identity
  • Singularity Marketplace
  • Purple AI
  • Services
  • Wayfinder TDR
  • SentinelOne GO
  • Technical Account Management
  • Support Services
  • Verticals
  • Energy
  • Federal Government
  • Finance
  • Healthcare
  • Higher Education
  • K-12 Education
  • Manufacturing
  • Retail
  • State and Local Government
  • Cybersecurity for SMB
  • Resources
  • Blog
  • Labs
  • Case Studies
  • Videos
  • Product Tours
  • Events
  • Cybersecurity 101
  • eBooks
  • Webinars
  • Whitepapers
  • Press
  • News
  • Ransomware Anthology
  • Company
  • About Us
  • Our Customers
  • Careers
  • Partners
  • Legal & Compliance
  • Security & Compliance
  • Investor Relations
  • S Foundation
  • S Ventures

©2026 SentinelOne, All Rights Reserved.

Privacy Notice Terms of Use

English