Join the Cyber Forum: Threat Intel on May 12, 2026 to learn how AI is reshaping threat defense.Join the Virtual Cyber Forum: Threat IntelRegister Now
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-2026-23037

CVE-2026-23037: Linux Kernel CAN Driver URB Leak Flaw

CVE-2026-23037 is a resource leak flaw in the Linux kernel's etas_es58x CAN driver that causes URB memory leaks during partial allocation failures. This article covers technical details, affected versions, and fixes.

Published: February 6, 2026

CVE-2026-23037 Overview

CVE-2026-23037 is a memory leak vulnerability in the Linux kernel's CAN (Controller Area Network) etas_es58x driver. The vulnerability occurs when the es58x_alloc_rx_urbs() function fails to allocate the requested number of USB Request Blocks (URBs) but succeeds in allocating some. In this partial allocation scenario, the function returns an error code which causes es58x_open() to return early, skipping the cleanup label free_urbs. This results in the anchored URBs being leaked, potentially leading to resource exhaustion over time.

Critical Impact

This memory leak vulnerability in the Linux kernel CAN driver can lead to resource exhaustion on systems using ETAS ES58X USB CAN interfaces, potentially causing system instability or denial of service conditions.

Affected Products

  • Linux kernel with etas_es58x CAN driver enabled
  • Systems using ETAS ES58X USB CAN interface adapters
  • Embedded Linux systems with CAN bus functionality

Discovery Timeline

  • 2026-01-31 - CVE-2026-23037 published to NVD
  • 2026-02-03 - Last updated in NVD database

Technical Details for CVE-2026-23037

Vulnerability Analysis

The vulnerability resides in the es58x_alloc_rx_urbs() function within the Linux kernel's CAN subsystem driver for ETAS ES58X USB devices. When the driver attempts to allocate multiple USB Request Blocks (URBs) for receiving CAN messages, it may encounter memory pressure or other allocation failures that prevent it from allocating the full requested number of URBs.

The core issue is in the error handling logic: if the function successfully allocates some URBs but fails to allocate all of them, it incorrectly returns an error code. This error propagates to es58x_open(), which then returns early without reaching the free_urbs cleanup label. The partially allocated URBs that were anchored remain allocated but unreferenced, creating a memory leak.

As noted by maintainer Vincent Mailhol, the driver was originally designed to handle partial URB allocation gracefully since some URBs are sufficient for operation. The fix modifies es58x_alloc_rx_urbs() to return success (0) if at least one URB has been allocated, restoring the intended behavior and preventing the leak.

Root Cause

The root cause is improper error handling in the URB allocation function. The function treated partial allocation as a fatal error when the driver's design intended for partial allocation to be acceptable. This design versus implementation mismatch caused the error path to bypass necessary cleanup routines, leading to memory leaks of anchored URB structures.

Attack Vector

The vulnerability has limited direct exploitability as it requires:

  1. A system with the etas_es58x driver loaded
  2. Memory pressure conditions or repeated device open/close operations
  3. Physical access to connect ETAS ES58X USB CAN hardware

An attacker with local access could potentially trigger repeated partial allocation failures by inducing memory pressure while opening the CAN device interface. Over time, the accumulated memory leaks could degrade system performance or lead to denial of service through resource exhaustion. However, the attack surface is limited to systems with specific CAN hardware configurations.

Detection Methods for CVE-2026-23037

Indicators of Compromise

  • Gradual memory consumption increase on systems with ETAS ES58X CAN devices
  • Kernel memory allocation warnings or errors in system logs related to USB or CAN subsystems
  • Unexpected ENOMEM errors when opening CAN interfaces repeatedly

Detection Strategies

  • Monitor kernel memory usage patterns, particularly slab allocations related to URB structures
  • Review dmesg output for USB and CAN driver error messages indicating allocation failures
  • Track /proc/meminfo for unexplained memory consumption growth over time
  • Monitor for repeated failed CAN interface open operations

Monitoring Recommendations

  • Implement kernel memory auditing using tools like kmemleak to detect leaked URB allocations
  • Set up alerts for unusual memory growth patterns on systems running CAN applications
  • Log and analyze CAN device open/close operations for error patterns
  • Use SentinelOne's kernel-level monitoring to detect anomalous memory behavior in driver subsystems

How to Mitigate CVE-2026-23037

Immediate Actions Required

  • Update to a patched Linux kernel version that includes the fix
  • If immediate patching is not possible, consider unloading the etas_es58x module when not in use
  • Monitor affected systems for memory exhaustion symptoms
  • Review system logs for signs of exploitation attempts

Patch Information

Multiple patches have been released for various kernel branches to address this vulnerability. The fix modifies es58x_alloc_rx_urbs() to return 0 (success) if at least one URB has been allocated, preventing the memory leak while maintaining driver functionality.

Available kernel patches:

  • Kernel Patch 611e839
  • Kernel Patch 6c5124a
  • Kernel Patch b197977
  • Kernel Patch ba45e3d

Workarounds

  • Unload the etas_es58x driver module when CAN functionality is not required using modprobe -r etas_es58x
  • Blacklist the driver module by adding blacklist etas_es58x to /etc/modprobe.d/blacklist.conf if the hardware is not in use
  • Implement system reboots during maintenance windows to clear accumulated leaked memory
  • Monitor and restart affected services if memory consumption exceeds acceptable thresholds
bash
# Configuration example
# Unload the vulnerable driver module
sudo modprobe -r etas_es58x

# Blacklist the driver to prevent automatic loading
echo "blacklist etas_es58x" | sudo tee /etc/modprobe.d/blacklist-etas_es58x.conf

# Verify the driver is not loaded
lsmod | grep es58x

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 Probability0.02%

  • Known ExploitedNo
  • Impact Assessment
  • ConfidentialityNone
  • IntegrityNone
  • AvailabilityNone
  • Technical References
  • Kernel Patch 611e839

  • Kernel Patch 6c5124a

  • Kernel Patch b197977

  • Kernel Patch ba45e3d
  • Related CVEs
  • CVE-2026-31439: Linux Kernel XDMA Error Handling Flaw

  • CVE-2026-31441: Linux Kernel Memory Leak Vulnerability

  • CVE-2026-31434: Linux Kernel Memory Leak Vulnerability

  • CVE-2026-31435: Linux Kernel Read Abandonment 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