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-2025-71154

CVE-2025-71154: Linux Kernel Memory Leak Vulnerability

CVE-2025-71154 is a memory leak vulnerability in the Linux kernel rtl8150 USB driver that occurs when usb_submit_urb() fails. This article covers the technical details, affected versions, impact, and mitigation strategies.

Published: January 30, 2026

CVE-2025-71154 Overview

CVE-2025-71154 is a memory leak vulnerability in the Linux kernel's rtl8150 USB network driver. The flaw exists in the async_set_registers() function, where a failure in usb_submit_urb() results in allocated memory structures not being properly freed. When URB (USB Request Block) submission fails, the async_req structure and the associated URB remain allocated in memory because the completion callback async_set_reg_cb() is never invoked to clean up these resources.

Critical Impact

Systems using the RTL8150 USB Ethernet adapter may experience memory exhaustion over time if URB submission failures occur repeatedly, potentially leading to system instability or denial of service conditions.

Affected Products

  • Linux Kernel (multiple versions with rtl8150 driver)
  • Systems utilizing RTL8150-based USB Ethernet adapters
  • Embedded Linux devices with USB network support

Discovery Timeline

  • 2026-01-23 - CVE CVE-2025-71154 published to NVD
  • 2026-01-26 - Last updated in NVD database

Technical Details for CVE-2025-71154

Vulnerability Analysis

This memory leak vulnerability occurs within the USB subsystem of the Linux kernel, specifically in the rtl8150 network driver's asynchronous register handling mechanism. The async_set_registers() function allocates memory for an async_req structure and a URB to perform asynchronous USB operations. Under normal operation, the completion callback async_set_reg_cb() is responsible for freeing these allocations after the URB completes.

However, if usb_submit_urb() fails during submission, the URB never enters the USB subsystem's processing queue and consequently the completion callback is never triggered. This creates an orphaned memory allocation that persists for the lifetime of the kernel session. In scenarios where URB submission failures occur frequently—such as during USB bus errors, device disconnection events, or resource contention—this leak can accumulate and eventually exhaust available system memory.

Root Cause

The root cause is improper error handling in the async_set_registers() function. The function allocates memory before attempting URB submission but lacks proper cleanup logic in the error path when usb_submit_urb() returns a failure code. The existing code architecture relies entirely on the completion callback for memory deallocation, which creates a design gap when the callback path is never reached due to submission failure.

Attack Vector

This vulnerability has a local attack surface as it requires interaction with the USB subsystem. An attacker with local access could potentially trigger repeated URB submission failures through various means such as:

  • Repeatedly connecting and disconnecting USB devices during driver operations
  • Inducing USB bus errors through malformed USB traffic or physical manipulation
  • Exhausting USB bandwidth or endpoints to force submission failures

The vulnerability manifests in the boundary between successful URB submission and failure handling. When usb_submit_urb() fails, the allocated async_req structure and URB are leaked because the completion callback async_set_reg_cb() is only invoked upon URB completion (successful or otherwise), not upon submission failure. The fix ensures that both the URB and the request structure are freed in the error path when submission fails. For technical implementation details, see the Linux Kernel Commit.

Detection Methods for CVE-2025-71154

Indicators of Compromise

  • Gradual increase in kernel memory usage on systems with RTL8150 USB adapters
  • Kernel memory allocation failures or OOM (Out of Memory) events in syslog
  • Presence of orphaned URB allocations in kernel memory debugging tools like kmemleak
  • Unexplained system slowdowns or instability when using USB Ethernet adapters

Detection Strategies

  • Enable kernel memory leak detection using CONFIG_DEBUG_KMEMLEAK and monitor for leaks in the rtl8150 driver
  • Monitor /proc/meminfo for abnormal Slab memory growth over extended periods
  • Use ftrace or perf to track usb_submit_urb() failure rates in the rtl8150 driver
  • Implement system health monitoring to alert on sustained memory pressure

Monitoring Recommendations

  • Deploy SentinelOne agents on Linux systems to detect anomalous kernel memory behavior
  • Configure kernel logging verbosity to capture USB subsystem errors and driver warnings
  • Establish baseline memory usage patterns and alert on deviations exceeding normal thresholds
  • Monitor dmesg output for rtl8150 driver error messages indicating URB submission failures

How to Mitigate CVE-2025-71154

Immediate Actions Required

  • Update the Linux kernel to a patched version that includes the memory leak fix
  • If updates are not immediately available, consider temporarily disabling the rtl8150 driver if the USB adapter is not essential
  • Monitor affected systems for memory exhaustion symptoms until patches can be applied
  • Review and test kernel updates in a staging environment before production deployment

Patch Information

The Linux kernel maintainers have released patches to address this vulnerability across multiple stable branches. The fix properly frees both the URB and the async_req structure in the error path when usb_submit_urb() fails. Patches are available through the following kernel commits:

  • Kernel Commit 12cab11
  • Kernel Commit 151403e
  • Kernel Commit 2f96618
  • Kernel Commit 4bd4ea3
  • Kernel Commit 6492ad6
  • Kernel Commit a4e2442
  • Kernel Commit db2244c

Workarounds

  • Blacklist the rtl8150 module if the USB Ethernet adapter is not required: add blacklist rtl8150 to /etc/modprobe.d/blacklist.conf
  • Use alternative network connectivity methods while awaiting kernel patches
  • Implement periodic system reboots as a temporary measure to clear accumulated memory leaks
  • Monitor memory usage and configure early warning alerts for memory pressure conditions
bash
# Temporary workaround: Blacklist the vulnerable driver
echo "blacklist rtl8150" | sudo tee /etc/modprobe.d/rtl8150-blacklist.conf
sudo update-initramfs -u

# Verify driver is not loaded
lsmod | grep rtl8150

# Monitor memory usage for leak indicators
watch -n 60 'grep -E "Slab|SUnreclaim" /proc/meminfo'

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

  • EPSS Probability0.03%

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

  • Linux Kernel Commit Update

  • Linux Kernel Commit Update

  • Linux Kernel Commit Update

  • Linux Kernel Commit Update

  • Linux Kernel Commit Update

  • Linux Kernel Commit Update
  • Related CVEs
  • CVE-2026-23457: Linux Kernel Integer Truncation Vulnerability

  • CVE-2026-23442: Linux Kernel IPv6 SRv6 Null Pointer Flaw

  • CVE-2026-23431: Linux Kernel Memory Leak Vulnerability

  • CVE-2026-31391: Linux Kernel Atmel SHA204A OOM 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