The SentinelOne Annual Threat Report - A Defenders Guide from the FrontlinesThe SentinelOne Annual Threat ReportGet the Report
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
    • 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-2026-23386

CVE-2026-23386: Linux Kernel Buffer Overflow Vulnerability

CVE-2026-23386 is a buffer overflow flaw in the Linux kernel's GVE driver that causes out-of-bounds memory access in DQ-QPL mode. This article covers the technical details, affected versions, impact, and mitigation.

Published: March 27, 2026

CVE-2026-23386 Overview

CVE-2026-23386 is a memory safety vulnerability in the Linux kernel's Google Virtual Ethernet (GVE) driver that affects the buffer cleanup routine in gve_tx_clean_pending_packets() when operating in DQ-QPL mode. The vulnerability occurs due to incorrect buffer cleanup path selection, where the driver incorrectly uses the RDA (Raw Data Access) buffer cleanup path instead of the appropriate QPL (Queue Page List) cleanup method.

Critical Impact

This vulnerability can cause out-of-bounds array access and memory corruption in the Linux kernel's GVE network driver, potentially leading to system instability, kernel crashes, or denial of service conditions on affected systems.

Affected Products

  • Linux kernel with GVE (Google Virtual Ethernet) driver
  • Systems running Google Cloud Platform virtual machines with GVE network interfaces
  • Linux distributions using affected kernel versions with GVE driver enabled

Discovery Timeline

  • 2026-03-25 - CVE CVE-2026-23386 published to NVD
  • 2026-03-25 - Last updated in NVD database

Technical Details for CVE-2026-23386

Vulnerability Analysis

The vulnerability resides in the gve_tx_clean_pending_packets() function within the GVE driver (drivers/net/ethernet/google/gve/gve_tx_dqo.c). When operating in DQ-QPL (Descriptor Queue - Queue Page List) mode, the function incorrectly follows the RDA buffer cleanup path, leading to two distinct memory safety issues.

The first issue arises from a union storage conflict. The dma array shares storage with tx_qpl_buf_ids through a C union structure. When the cleanup routine incorrectly interprets buffer IDs as DMA addresses, it attempts to unmap incorrect memory locations, as the data stored in that memory region has different semantics depending on the operational mode.

The second issue involves an out-of-bounds array access. In QPL mode, num_bufs represents a count of 2K chunks, which can significantly exceed the allocated size of the dma array. The UBSAN (Undefined Behavior Sanitizer) detected this condition where index 18 was accessed in an array of type dma_addr_t[18], clearly indicating an off-by-one or greater boundary violation.

Root Cause

The root cause is a missing mode check in the buffer cleanup logic. The gve_tx_clean_pending_packets() function fails to properly distinguish between RDA and QPL operational modes before selecting the appropriate cleanup path. This leads to the RDA cleanup code being executed when QPL-specific cleanup via gve_free_tx_qpl_bufs() should be invoked instead.

The underlying issue stems from the union data structure design where dma and tx_qpl_buf_ids share the same memory location, combined with the differing semantics of num_bufs between modes. The fix requires properly checking for QPL mode and delegating buffer reclamation to the appropriate function.

Attack Vector

This vulnerability is triggered through normal driver operation rather than external network attack. The vulnerable code path is exercised when:

  1. The GVE driver is operating in DQ-QPL mode
  2. The driver undergoes a reset operation via gve_reset()
  3. The gve_service_task workqueue processes the reset
  4. gve_close() calls gve_tx_stop_ring_dqo() which invokes the vulnerable cleanup routine

The kernel stack trace shows the call path: gve_service_task → gve_reset → gve_close → gve_tx_stop_ring_dqo → vulnerable cleanup code.

While exploitation for privilege escalation would be complex due to the specific conditions required, the vulnerability can cause kernel crashes and system denial of service when triggered during driver reset operations.

Detection Methods for CVE-2026-23386

Indicators of Compromise

  • UBSAN kernel warnings with "array-index-out-of-bounds" in gve_tx_dqo.c
  • Kernel oops or panic messages originating from the GVE driver during network operations
  • Unexpected system reboots on Google Cloud Platform instances using GVE networking
  • Workqueue errors related to gve_service_task in kernel logs

Detection Strategies

  • Monitor kernel logs (dmesg, /var/log/kern.log) for UBSAN warnings mentioning gve_tx_stop_ring_dqo or gve_tx_dqo.c
  • Enable kernel address sanitizers (KASAN, UBSAN) in development/testing environments to detect out-of-bounds access
  • Implement automated log monitoring for GVE driver crash signatures and recovery events
  • Track unexpected GVE driver reset cycles which may indicate the vulnerability being triggered

Monitoring Recommendations

  • Configure syslog forwarding to centralized SIEM for kernel warning detection
  • Set up alerting for patterns matching __ubsan_handle_out_of_bounds combined with GVE module references
  • Monitor system uptime anomalies on GCE instances that may indicate kernel crashes
  • Implement kernel crash dump collection and analysis for post-incident investigation

How to Mitigate CVE-2026-23386

Immediate Actions Required

  • Update the Linux kernel to a patched version containing the fix commits
  • If immediate patching is not possible, consider temporarily using alternative networking modes if available
  • Review and apply vendor-provided kernel updates from your Linux distribution
  • Monitor affected systems for signs of driver instability until patches are applied

Patch Information

The vulnerability has been resolved in multiple Linux kernel stable branches. The fix properly checks for QPL mode and delegates buffer reclamation to gve_free_tx_qpl_bufs() instead of incorrectly using the RDA cleanup path.

Patches are available through the following kernel commits:

  • Linux Kernel Commit 07e0c80
  • Linux Kernel Commit 3744ebd8
  • Linux Kernel Commit 71511dae
  • Linux Kernel Commit c171f90
  • Linux Kernel Commit fb868db5

Workarounds

  • If the GVE driver supports multiple operational modes, switching from DQ-QPL mode to RDA mode may avoid the vulnerable code path
  • Disable automatic driver reset operations if operationally feasible (though this may impact network reliability)
  • Consider using alternative network drivers or virtio-net on affected virtual machines until patching is complete
  • Implement system monitoring to detect and quickly respond to driver-related crashes
bash
# Check current GVE driver version and verify patch status
modinfo gve

# Monitor for UBSAN warnings related to GVE
dmesg | grep -E "(gve|ubsan.*out_of_bounds)"

# Check kernel version against patched releases
uname -r

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechLinux

  • SeverityNONE

  • CVSS ScoreN/A

  • EPSS Probability0.02%

  • Known ExploitedNo
  • Impact Assessment
  • ConfidentialityNone
  • IntegrityNone
  • AvailabilityNone
  • Technical References
  • Linux Kernel Commit 07e0c80

  • Linux Kernel Commit 3744ebd8

  • Linux Kernel Commit 71511dae

  • Linux Kernel Commit c171f90

  • Linux Kernel Commit fb868db5
  • Related CVEs
  • CVE-2026-23455: Linux Kernel Buffer Overflow Vulnerability

  • CVE-2026-3038: Kernel Buffer Overflow Vulnerability

  • CVE-2026-23062: Linux Kernel Buffer Overflow Vulnerability

  • CVE-2025-71120: Linux Kernel Buffer Overflow Vulnerability
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the World’s Most Advanced Cybersecurity Platform

See how our intelligent, autonomous cybersecurity platform can protect your organization now 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