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-2026-23257

CVE-2026-23257: Linux Kernel Liquidio Memory Leak Vulnerability

CVE-2026-23257 is a memory leak flaw in the Linux kernel liquidio driver caused by an off-by-one error in cleanup routines. This article covers the technical details, affected versions, impact, and mitigation strategies.

Published: March 20, 2026

CVE-2026-23257 Overview

CVE-2026-23257 is an off-by-one error vulnerability in the Linux kernel's LiquidIO network driver. The flaw exists in the setup_nic_devices() function within the Physical Function (PF) device initialization code. When the initialization loop encounters a failure and jumps to the setup_nic_dev_free cleanup label, the cleanup loop using while(i--) incorrectly skips the failing index i, resulting in a memory leak.

This vulnerability was discovered through code review and affects the resource cleanup path in the LiquidIO driver's device initialization routine. The issue stems from improper loop boundary handling during error recovery.

Critical Impact

Memory leak in the Linux kernel's LiquidIO network driver cleanup path could lead to resource exhaustion on systems using Cavium LiquidIO network adapters.

Affected Products

  • Linux kernel with LiquidIO network driver (net/ethernet/cavium/liquidio)
  • Systems using Cavium LiquidIO network adapters
  • Multiple stable kernel branches (patches available for various versions)

Discovery Timeline

  • 2026-03-18 - CVE CVE-2026-23257 published to NVD
  • 2026-03-19 - Last updated in NVD database

Technical Details for CVE-2026-23257

Vulnerability Analysis

The vulnerability resides in the setup_nic_devices() function within the LiquidIO Physical Function (PF) driver code. During device initialization, the function iterates through network devices to allocate and configure resources. If any allocation or configuration step fails, the code jumps to the setup_nic_dev_free cleanup label to release previously allocated resources.

The flaw is an off-by-one error in the cleanup loop logic. The original cleanup loop uses while(i--) which decrements i before the first iteration, causing it to skip the current failing index. This means the resources allocated at index i are never freed, resulting in a memory leak.

Additionally, in the devlink_alloc failure path, the index i was not properly decremented to point to the last successfully allocated index before entering the cleanup loop, further contributing to incorrect resource management.

Root Cause

The root cause is improper loop boundary handling in the error cleanup path. The while(i--) construct decrements the loop variable before executing the loop body, which is inappropriate when the cleanup needs to include the current index where the failure occurred. The fix changes the loop to iterate from the current index i down to 0, ensuring all allocated resources including the failing index are properly cleaned up.

Attack Vector

This vulnerability does not have a direct remote exploitation path. The memory leak occurs during driver initialization when device setup fails. While not directly exploitable for code execution, repeated initialization failures could lead to kernel memory exhaustion over time, potentially causing system instability or denial of service conditions on systems with LiquidIO network hardware.

The issue was identified through code review and has been compile tested. Since it requires specific hardware (LiquidIO network adapters) and a failure condition during device initialization, practical exploitation is limited but could impact reliability of affected systems.

Detection Methods for CVE-2026-23257

Indicators of Compromise

  • Gradual increase in kernel memory usage on systems with LiquidIO network adapters
  • Memory allocation failures in kernel logs related to the LiquidIO driver
  • System instability or performance degradation on affected hardware configurations

Detection Strategies

  • Monitor kernel logs for LiquidIO driver initialization failures using dmesg | grep liquidio
  • Track kernel memory usage patterns using tools like /proc/meminfo and slabtop
  • Review system logs for repeated driver load/unload cycles that may trigger the leak

Monitoring Recommendations

  • Implement kernel memory monitoring for systems using Cavium LiquidIO network hardware
  • Set up alerts for unusual memory growth patterns in kernel space
  • Monitor for driver initialization errors in system logs

How to Mitigate CVE-2026-23257

Immediate Actions Required

  • Update to a patched kernel version that includes the fix for CVE-2026-23257
  • If unable to update immediately, avoid situations that cause repeated driver initialization failures
  • Monitor affected systems for signs of memory exhaustion

Patch Information

Multiple kernel commits have been released to address this vulnerability. The fix modifies the cleanup loop to properly iterate from the current index down to 0, ensuring all allocated resources are freed. Additionally, the devlink_alloc failure path now correctly decrements the index before cleanup.

Patched commits are available in the Linux kernel stable branches:

  • Commit 293eaad0d6d6
  • Commit 8558aef4e8a1
  • Commit a0d2389c8cdc
  • Commit af38d9a5cb49
  • Commit d86c58eb005e
  • Commit f1216b80c904
  • Commit f86bd16280a0

Workarounds

  • Ensure LiquidIO driver initialization completes successfully without errors
  • Avoid repeated loading and unloading of the LiquidIO driver module
  • Monitor system memory and reboot if memory exhaustion symptoms appear before patching is possible
bash
# Check current kernel version and LiquidIO driver status
uname -r
lsmod | grep liquidio
dmesg | grep -i liquidio

# Monitor kernel memory usage
watch -n 5 'cat /proc/meminfo | grep -E "(MemFree|Slab|SReclaimable)"'

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
  • Linux Kernel Commit Fix

  • Linux Kernel Commit Fix

  • Linux Kernel Commit Fix

  • Linux Kernel Commit Fix

  • Linux Kernel Commit Fix

  • Linux Kernel Commit Fix

  • Linux Kernel Commit Fix
  • 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