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-2025-21714

CVE-2025-21714: Linux Kernel Use-After-Free Vulnerability

CVE-2025-21714 is a use-after-free vulnerability in Linux Kernel's RDMA/mlx5 driver caused by double queueing of implicit ODP memory region destroy work. This article covers technical details, affected versions, and mitigation.

Updated: January 22, 2026

CVE-2025-21714 Overview

CVE-2025-21714 is a Use After Free vulnerability in the Linux kernel's RDMA/mlx5 driver affecting the implicit On-Demand Paging (ODP) memory region handling. The vulnerability occurs due to improper synchronization when destroying memory regions (MR), allowing double queueing of MR destroy work. This race condition can lead to a use-after-free scenario where a second work item executes after the memory region has already been freed by the first work item.

Critical Impact

Local attackers with low privileges can exploit this vulnerability to potentially achieve code execution, escalate privileges, or cause system instability through memory corruption in the kernel's RDMA subsystem.

Affected Products

  • Linux Kernel (versions with mlx5_ib RDMA driver)
  • Systems using Mellanox ConnectX network adapters with RDMA/InfiniBand functionality
  • Enterprise environments utilizing RDMA for high-performance computing and storage

Discovery Timeline

  • February 27, 2025 - CVE-2025-21714 published to NVD
  • March 24, 2025 - Last updated in NVD database

Technical Details for CVE-2025-21714

Vulnerability Analysis

The vulnerability exists in the free_implicit_child_mr_work function within the mlx5_ib kernel module. The core issue stems from a race condition in the implicit ODP (On-Demand Paging) memory region destruction process. When invalidating an implicit ODP memory region, the code could potentially queue the destruction work multiple times without proper atomic checking, leading to double-free conditions.

The kernel stack trace shows the vulnerability manifesting in the workqueue subsystem (events_unbound workqueue) when processing free_implicit_child_mr_work. The refcount_warn_saturate warning indicates a reference count underflow, which is a clear indicator of use-after-free behavior where operations continue on already-freed memory structures.

This vulnerability affects systems using the mlx5_ib driver, commonly found in enterprise environments with Mellanox/NVIDIA ConnectX network adapters that provide RDMA capabilities for high-performance networking and storage applications.

Root Cause

The root cause is the lack of atomic comparison and exchange operations when marking a memory region for destruction. Without using __xa_cmpxchg() to atomically verify and update the MR state, multiple concurrent paths could simultaneously determine that they need to destroy the same MR, each queuing a separate destruction work item. The fix implements proper atomic operations to ensure only one destruction path can proceed for any given memory region.

Attack Vector

Exploitation requires local access to the system with low-level privileges. An attacker would need to:

  1. Have access to a system with mlx5-based RDMA hardware
  2. Trigger conditions that cause implicit ODP MR invalidation
  3. Race the destruction process to cause double-free conditions
  4. Potentially leverage the memory corruption for privilege escalation or code execution

The vulnerability can be triggered through normal RDMA operations that involve implicit ODP memory region management, particularly in high-concurrency scenarios where multiple invalidation requests may occur in rapid succession.

Detection Methods for CVE-2025-21714

Indicators of Compromise

  • Kernel warning messages containing refcount_t: underflow; use-after-free in system logs
  • Stack traces showing free_implicit_child_mr_work in the call chain
  • Unexpected system crashes or instability on systems with mlx5_ib driver loaded
  • Kernel oops messages referencing the mlx5_ib module and memory corruption

Detection Strategies

  • Monitor kernel logs (dmesg, /var/log/kern.log) for refcount underflow warnings
  • Implement kernel tracing on refcount_warn_saturate function calls
  • Deploy SentinelOne Singularity Platform for real-time kernel anomaly detection
  • Use KASAN (Kernel Address Sanitizer) in development/testing environments to detect use-after-free conditions

Monitoring Recommendations

  • Enable kernel auditing for mlx5_ib module operations
  • Configure alerting on kernel warning messages related to refcount operations
  • Monitor system stability metrics on RDMA-enabled servers
  • Implement centralized log collection for rapid correlation of kernel security events

How to Mitigate CVE-2025-21714

Immediate Actions Required

  • Update affected Linux kernel installations to patched versions immediately
  • If immediate patching is not possible, consider temporarily unloading the mlx5_ib module if RDMA functionality is not critical
  • Review system logs for any evidence of prior exploitation attempts
  • Prioritize patching on systems with multi-tenant or untrusted local user access

Patch Information

The Linux kernel maintainers have released patches to address this vulnerability. The fix implements __xa_cmpxchg() to ensure atomic state transitions during MR destruction, preventing double-queueing of destroy work.

Available patches:

  • Kernel Git Commit 7cc8f68
  • Kernel Git Commit d3d9304
  • Kernel Git Commit edfb65d

Apply the appropriate patch for your kernel version or upgrade to a kernel release that includes the fix.

Workarounds

  • Disable implicit ODP functionality if not required for your workload by configuring mlx5_ib module parameters
  • Restrict local user access to systems with RDMA capabilities to trusted administrators only
  • Monitor for exploitation attempts while awaiting patch deployment
  • Consider network segmentation to limit exposure of RDMA-enabled systems
bash
# Check if mlx5_ib module is loaded
lsmod | grep mlx5_ib

# View current kernel version
uname -r

# Check for available kernel updates (Debian/Ubuntu)
apt update && apt list --upgradable | grep linux

# Check for available kernel updates (RHEL/CentOS)
yum check-update kernel

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

  • Vulnerability Details
  • TypeUse After Free

  • Vendor/TechLinux Kernel

  • SeverityHIGH

  • CVSS Score7.8

  • EPSS Probability0.04%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-416
  • Vendor Resources
  • Kernel Git Commit 7cc8f68

  • Kernel Git Commit d3d9304

  • Kernel Git Commit edfb65d
  • Related CVEs
  • CVE-2026-31475: Linux Kernel Use-After-Free Vulnerability

  • CVE-2026-31469: Linux Kernel Use-After-Free Vulnerability

  • CVE-2026-31457: Linux Kernel Use-After-Free Vulnerability

  • CVE-2026-31444: Linux Kernel Use-After-Free 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