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
    • 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-2026-23275

CVE-2026-23275: Linux Kernel Race Condition Vulnerability

CVE-2026-23275 is a race condition flaw in the Linux kernel's io_uring subsystem that can occur during ring resizing. This article covers the technical details, affected versions, security impact, and mitigation.

Published: March 27, 2026

CVE-2026-23275 Overview

A race condition vulnerability has been discovered in the Linux kernel's io_uring subsystem. The flaw exists in the handling of task work flags manipulation when DEFER_TASKRUN | SETUP_TASKRUN is used during ring resizing operations. If task work is added while the ring is being resized, it's possible for the OR'ing of IORING_SQ_TASKRUN to occur in a small window between swapping into the new rings and the old rings being freed, potentially leading to use-after-free conditions.

Critical Impact

This vulnerability allows a local attacker to potentially exploit a race condition in io_uring ring resizing, which could lead to memory corruption or denial of service on affected Linux kernel systems.

Affected Products

  • Linux Kernel (versions using io_uring with DEFER_TASKRUN support)
  • Systems utilizing io_uring with ring resize functionality
  • Linux distributions running vulnerable kernel versions

Discovery Timeline

  • 2026-03-20 - CVE CVE-2026-23275 published to NVD
  • 2026-03-20 - Last updated in NVD database

Technical Details for CVE-2026-23275

Vulnerability Analysis

The vulnerability resides in the Linux kernel's io_uring implementation, specifically in how the ctx->rings pointer is managed during concurrent operations. When DEFER_TASKRUN | SETUP_TASKRUN configuration is active, the kernel manipulates task work flags by OR'ing IORING_SQ_TASKRUN into the rings structure.

The core issue is a Time-of-Check Time-of-Use (TOCTOU) race condition that occurs during ring resize operations. During the resize process, there exists a brief window where the old rings structure is being swapped out for a new one. If task work is added during this exact moment, the flag manipulation may target the old rings structure that is about to be freed, resulting in a potential use-after-free scenario.

This vulnerability specifically affects configurations using DEFER_TASKRUN mode, as this is the only setup mode that supports ring resizing. The attack requires local access and the ability to trigger io_uring operations with specific timing characteristics.

Root Cause

The root cause is the lack of proper synchronization between the rings pointer access during task work flag manipulation and the ring resize operation. The original implementation used a single ->rings pointer that could be accessed concurrently without adequate protection during the resize window. The fix introduces a secondary pointer, ->rings_rcu, which is protected by RCU (Read-Copy-Update) synchronization primitives, ensuring that the old rings structure is not freed until all concurrent accessors have completed their operations.

Attack Vector

The attack vector requires local access to a system running a vulnerable Linux kernel with io_uring support enabled. An attacker would need to:

  1. Create an io_uring instance with DEFER_TASKRUN | SETUP_TASKRUN flags
  2. Initiate a ring resize operation
  3. Simultaneously trigger task work additions to exploit the race window
  4. The precise timing required makes exploitation challenging but not impossible

The vulnerability mechanism involves concurrent access to the rings structure during resize. When the resize operation begins, the kernel allocates a new rings structure and prepares to swap pointers. During the brief window between updating the pointer and freeing the old structure, any task work additions that reference the old structure via cached pointer values could result in writing to freed memory after the synchronization completes. The fix addresses this by using RCU protection to ensure the old rings structure remains valid until all in-flight operations complete.

Detection Methods for CVE-2026-23275

Indicators of Compromise

  • Unexpected kernel panics or crashes related to io_uring operations
  • Kernel log messages indicating memory corruption in io_uring subsystem
  • System instability during high io_uring workload with ring resize operations
  • KASAN (Kernel Address Sanitizer) reports showing use-after-free in io_uring code paths

Detection Strategies

  • Monitor kernel logs for io_uring-related error messages or warnings
  • Enable KASAN on development/test systems to detect memory safety violations
  • Audit applications using io_uring with DEFER_TASKRUN flag for potential exposure
  • Review system configurations to identify use of io_uring ring resize functionality

Monitoring Recommendations

  • Implement kernel log monitoring for io_uring subsystem anomalies
  • Deploy runtime security tools capable of detecting kernel memory corruption
  • Monitor for unusual patterns in io_uring system calls that may indicate exploitation attempts
  • Enable kernel tracing for io_uring operations in security-sensitive environments

How to Mitigate CVE-2026-23275

Immediate Actions Required

  • Update to a patched Linux kernel version containing the fix
  • Review and update containerized workloads using io_uring functionality
  • Consider temporarily disabling io_uring ring resize if not required for operations
  • Apply vendor-specific patches from your Linux distribution

Patch Information

The vulnerability has been resolved in the Linux kernel through the introduction of a secondary RCU-protected rings pointer (->rings_rcu). The fix ensures that task work flag manipulation occurs safely within RCU read-side critical sections, and ring resize operations perform proper RCU synchronization before freeing old structures. The patches are available through the official kernel git repository:

  • Kernel Git Commit 46dc07d
  • Kernel Git Commit 7cc4530b
  • Kernel Git Commit 9618908

Workarounds

  • Disable io_uring functionality system-wide if not required (via io_uring_disabled sysctl)
  • Restrict access to io_uring system calls using seccomp filters
  • Limit io_uring usage to trusted applications only via security policies
  • Monitor applications using DEFER_TASKRUN mode and evaluate if ring resize functionality is necessary
bash
# Disable io_uring system-wide (requires kernel support)
echo 2 > /proc/sys/kernel/io_uring_disabled

# Or via sysctl configuration
echo "kernel.io_uring_disabled = 2" >> /etc/sysctl.d/99-io_uring.conf
sysctl -p /etc/sysctl.d/99-io_uring.conf

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

  • Vulnerability Details
  • TypeRace Condition

  • Vendor/TechLinux Kernel

  • SeverityNONE

  • CVSS ScoreN/A

  • EPSS Probability0.02%

  • Known ExploitedNo
  • Impact Assessment
  • ConfidentialityNone
  • IntegrityNone
  • AvailabilityNone
  • Technical References
  • Kernel Git Commit 46dc07d

  • Kernel Git Commit 7cc4530b

  • Kernel Git Commit 9618908
  • Related CVEs
  • CVE-2026-23440: Linux Kernel Race Condition Vulnerability

  • CVE-2026-23434: Linux Kernel Race Condition Vulnerability

  • CVE-2026-23436: Linux Kernel Race Condition Vulnerability

  • CVE-2026-23463: Linux Kernel QBMAN Race Condition Flaw
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