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
    • 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-2025-71285

CVE-2025-71285: Linux Kernel Race Condition Vulnerability

CVE-2025-71285 is a race condition vulnerability in the Linux kernel's QRTR MHI auto_queue feature that can cause NULL pointer dereference during driver initialization. This article covers technical details, impact, and mitigation.

Published: May 7, 2026

CVE-2025-71285 Overview

CVE-2025-71285 is a race condition vulnerability in the Linux kernel's net/qrtr (Qualcomm IPC Router) subsystem. The flaw involves the Modem Host Interface (MHI) stack's auto_queue feature for IPC Router (IPCR) downlink (DL) channels. The MHI stack automatically queues receive buffers for the DL channel, which creates a race between the MHI stack and client drivers during initialization.

When dl_callback executes before the client driver completes probing, the driver's internal structures may remain uninitialized. This results in a NULL pointer dereference in kernel space. The issue was reported on Qualcomm X1E80100 Compute Reference Design (CRD) machines, where it impacted the boot process.

Critical Impact

A NULL pointer dereference in kernel context can crash the system and prevent successful boot on affected Qualcomm-based hardware.

Affected Products

  • Linux kernel net/qrtr subsystem with MHI auto_queue enabled for IPCR DL channels
  • Qualcomm X1E80100 Compute Reference Design (CRD) machines
  • Linux distributions shipping kernels prior to the upstream qrtr fix

Discovery Timeline

  • 2026-05-06 - CVE-2025-71285 published to the National Vulnerability Database
  • 2026-05-06 - Last updated in NVD database

Technical Details for CVE-2025-71285

Vulnerability Analysis

The Linux kernel MHI stack provides an auto_queue feature that simplifies client driver design by automatically allocating and queuing receive buffers for the DL channel. While convenient, this feature creates a timing dependency between the MHI core and consumer drivers such as QRTR.

The dl_callback handler can fire before the QRTR client driver finishes probing. When the callback dereferences driver state that has not been initialized, the kernel encounters a NULL pointer and faults. Drivers historically tried to mitigate this by initializing internal structures before invoking mhi_prepare_for_transfer_autoqueue(). However, internal code paths could still call MHI queue APIs prior to that preparation step, reproducing the same fault.

Root Cause

The root cause is an ordering and initialization race between the MHI auto-queue mechanism and the QRTR driver probe sequence. The MHI stack assumes the client is ready to handle incoming buffers as soon as channels are prepared, but QRTR's structures may not yet exist. This pattern fits the [CWE-476] NULL pointer dereference and TOCTOU-style race condition class.

Attack Vector

This vulnerability manifests during normal device initialization on affected Qualcomm hardware rather than through a network-reachable attack surface. Triggering requires the specific timing conditions present during boot of MHI-enabled platforms using the QRTR transport. The reported impact is system instability and failed boots on Qualcomm X1E80100 CRD machines.

The upstream fix removes the auto_queue feature for IPCR DL channels entirely. The QRTR driver now manages RX buffers manually: queueing buffers based on the ring length during probe and recycling them in dl_callback after consumption. Controller drivers also drop the auto_queue flag.

No verified public exploit code exists for this issue. See the upstream commits for technical details: Linux Kernel Commit 51731792, Linux Kernel Commit 7bdff9b9, and Linux Kernel Commit 8c464e00.

Detection Methods for CVE-2025-71285

Indicators of Compromise

  • Kernel oops or panic logs referencing qrtr, mhi, or dl_callback during early boot
  • NULL pointer dereference traces in dmesg involving mhi_prepare_for_transfer_autoqueue
  • Boot failures or hangs on Qualcomm X1E80100 CRD platforms

Detection Strategies

  • Inventory Linux hosts running on Qualcomm MHI-capable hardware and identify those using QRTR over MHI
  • Compare running kernel versions against the upstream stable trees that include the three referenced fix commits
  • Review crash dumps and kdump collections for stack frames pointing to qrtr_mhi_callback or mhi_dl paths

Monitoring Recommendations

  • Centralize kernel ring buffer logs from Qualcomm-based endpoints and alert on MHI or QRTR fault signatures
  • Track patch level drift between deployed kernels and stable releases that contain the fix
  • Monitor boot success telemetry on affected hardware fleets and investigate repeated early-boot crashes

How to Mitigate CVE-2025-71285

Immediate Actions Required

  • Identify all Linux systems on Qualcomm MHI-capable platforms, prioritizing X1E80100 CRD devices
  • Apply the upstream Linux kernel patches that drop auto_queue for IPCR DL channels
  • Validate kernel rebuilds in a staging environment before fleet-wide rollout to confirm successful boot

Patch Information

The fix is delivered through three upstream Linux kernel commits in the stable tree: 51731792a25c, 7bdff9b9b0c6, and 8c464e00e075. These commits remove the MHI auto_queue feature for IPCR DL channels and refactor the QRTR driver to manage RX buffer allocation and recycling explicitly. Distribution maintainers should backport these commits to supported kernel branches.

Workarounds

  • No supported workaround exists outside of applying the upstream commits, since the race is structural to the auto_queue design
  • On affected Qualcomm hardware, avoid loading the QRTR-over-MHI transport until a patched kernel is available
  • Where feasible, pin affected systems to a previously known-good kernel revision until the backport is deployed
bash
# Verify kernel version and confirm the qrtr fix is present
uname -r
zcat /proc/config.gz | grep -E 'CONFIG_QRTR|CONFIG_MHI'
dmesg | grep -iE 'qrtr|mhi'

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
  • Linux Kernel Commit Change

  • Linux Kernel Commit Change

  • Linux Kernel Commit Change
  • Related CVEs
  • CVE-2026-31740: Linux Kernel Race Condition Vulnerability

  • CVE-2026-31751: Linux Kernel Race Condition Vulnerability

  • CVE-2026-31726: Linux Kernel Race Condition Vulnerability

  • CVE-2026-31700: Linux Kernel Race Condition 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