A Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection. Six years running.Six years. Gartner® Magic Quadrant™ Leader.Find Out Why
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-2026-43276

CVE-2026-43276: Linux Kernel Use-After-Free Vulnerability

CVE-2026-43276 is a use-after-free flaw in the Linux kernel's MANA driver that causes double workqueue destruction during PCI service rescans. This article covers technical details, affected versions, and mitigation.

Published: May 7, 2026

CVE-2026-43276 Overview

CVE-2026-43276 is a use-after-free vulnerability in the Microsoft Azure Network Adapter (MANA) driver within the Linux kernel networking subsystem. The flaw resides in the PCI service rescan code path and triggers a double destroy_workqueue() call against gc->service_wq. When mana_serv_reset() invokes mana_gd_suspend(), the cleanup routine destroys the service workqueue. If the subsequent mana_gd_resume() returns -ETIMEDOUT or -EPROTO, control falls through to mana_serv_rescan(), which calls pci_stop_and_remove_bus_device() and re-enters mana_gd_cleanup() through the PCI .remove callback. The second cleanup operates on a freed workqueue pointer, producing a kernel use-after-free crash.

Critical Impact

A use-after-free in the MANA Ethernet driver during PCI service rescan can crash the Linux kernel and destabilize Azure-hosted Linux workloads relying on MANA networking.

Affected Products

  • Linux kernel mana driver (drivers/net/ethernet/microsoft/mana)
  • Linux distributions running on Microsoft Azure with MANA-attached network adapters
  • Stable kernel branches addressed by commits a9a7c3203fdc, f975a0955276, and fa3c2f8d9152

Discovery Timeline

  • 2026-05-06 - CVE-2026-43276 published to NVD
  • 2026-05-06 - Last updated in NVD database

Technical Details for CVE-2026-43276

Vulnerability Analysis

The vulnerability is a use-after-free [CWE-416] caused by destroying the same workqueue twice along the MANA service rescan PCI path. The MANA driver uses gc->service_wq to dispatch service-related work items such as resets and rescans triggered by the host. During a service reset, the driver suspends the device, performs cleanup, and then attempts to resume it. The cleanup logic unconditionally calls destroy_workqueue(gc->service_wq) without invalidating the pointer, leaving a dangling reference inside the global context structure.

If the resume step fails with -ETIMEDOUT or -EPROTO, the driver escalates recovery by stopping and removing the PCI device. The PCI subsystem then calls the driver's .remove handler, mana_gd_remove(), which itself invokes mana_gd_cleanup() a second time. The second invocation operates on the already-freed workqueue, corrupting memory and triggering a kernel crash on the worker thread executing mana_serv_func().

Root Cause

The root cause is missing state tracking in mana_gd_cleanup(). The function does not check whether gc->service_wq has already been destroyed and does not set the pointer to NULL after destruction. Any code path that legitimately re-enters cleanup, such as the PCI remove callback after a failed resume, dereferences a stale pointer.

Attack Vector

The defective code path is exercised by host-initiated MANA service events combined with a failed resume operation. An attacker with the ability to influence host service signaling, induce timeouts on the management channel, or trigger PCI rescan conditions could provoke the double-destroy and crash the guest kernel. Local privileged users capable of stressing the driver during service operations can reach the same path. The patch fixes the issue by NULL-checking gc->service_wq in mana_gd_cleanup() and assigning NULL after destroy_workqueue() completes.

No public proof-of-concept exploit is available. Refer to the upstream patches for full technical context: Kernel patch a9a7c3203fdc, Kernel patch f975a0955276, and Kernel patch fa3c2f8d9152.

Detection Methods for CVE-2026-43276

Indicators of Compromise

  • Kernel oops or panic with mana_gd_cleanup+0x33/0x70 [mana] followed by mana_gd_remove+0x3a/0xc0 [mana] in the call trace.
  • Worker thread crashes referencing mana_do_service or mana_serv_func immediately after a failed mana_gd_resume().
  • dmesg entries showing -ETIMEDOUT or -EPROTO returned by MANA resume operations preceding a PCI device removal event.

Detection Strategies

  • Monitor kernel ring buffers and journalctl -k for the call stack signature involving pci_stop_and_remove_bus_device invoked from mana_serv_func.
  • Correlate Azure host service events with guest kernel instability by ingesting kernel logs into a centralized log platform.
  • Track running kernel version against the patched stable kernels (commits a9a7c3203fdc, f975a0955276, fa3c2f8d9152) across the fleet to identify exposed hosts.

Monitoring Recommendations

  • Forward /var/log/kern.log and dmesg output from MANA-equipped Azure VMs into a SIEM with kernel-crash alerting.
  • Alert on unexpected PCI removal events for mana devices, which indicate the failure path that triggers this bug.
  • Review host-side MANA service operation timing to surface repeated -ETIMEDOUT outcomes that precede the crash.

How to Mitigate CVE-2026-43276

Immediate Actions Required

  • Apply the upstream Linux kernel patch that NULL-checks gc->service_wq in mana_gd_cleanup() and clears the pointer after destruction.
  • Update Azure Linux guest images to a kernel build that includes commits a9a7c3203fdc, f975a0955276, or fa3c2f8d9152.
  • Reboot affected systems after patching to load the corrected mana module.

Patch Information

The fix is delivered through three Linux stable kernel commits: a9a7c3203fdc, f975a0955276, and fa3c2f8d9152. Each patch modifies mana_gd_cleanup() to skip workqueue destruction when gc->service_wq is NULL and assigns NULL after a successful destroy_workqueue() call. Distribution vendors should backport these commits to any LTS kernel that ships the MANA driver.

Workarounds

  • Avoid triggering host-side MANA service rescans on unpatched guests until kernels are updated.
  • Where feasible, restrict workloads requiring MANA networking to kernel versions that already include the fix.
  • Capture full kernel crash dumps via kdump so that any recurrence can be diagnosed and attributed to this code path.
bash
# Verify the running kernel includes the MANA cleanup fix
uname -r
modinfo mana | grep -E 'version|srcversion'
# Inspect recent kernel messages for the vulnerable call path
dmesg -T | grep -E 'mana_gd_cleanup|mana_gd_remove|mana_serv'

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

  • SeverityNONE

  • CVSS ScoreN/A

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

  • Kernel Patch Submission

  • Kernel Patch Submission
  • Related CVEs
  • CVE-2026-46270: Linux Kernel Use-After-Free Vulnerability

  • CVE-2026-46267: Linux Kernel NFC Use-After-Free Flaw

  • CVE-2026-46264: Linux Kernel Use-After-Free Vulnerability

  • CVE-2026-46259: Linux Kernel Use-After-Free Vulnerability
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today 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