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-2026-32861

CVE-2026-32861: NI LabVIEW RCE Vulnerability

CVE-2026-32861 is a memory corruption RCE vulnerability in NI LabVIEW caused by out-of-bounds write when loading corrupted LVCLASS files. This article covers technical details, affected versions, and mitigation.

Published: April 10, 2026

CVE-2026-32861 Overview

A memory corruption vulnerability exists in NI LabVIEW due to an out-of-bounds write condition when parsing corrupted LVCLASS files. This vulnerability allows attackers to potentially achieve information disclosure or arbitrary code execution by tricking users into opening specially crafted .lvclass files. The vulnerability requires user interaction, making it a targeted attack vector commonly used in spear-phishing campaigns against engineering and industrial control system environments.

Critical Impact

Successful exploitation can lead to arbitrary code execution or information disclosure on systems running vulnerable versions of NI LabVIEW, potentially compromising industrial control systems and engineering workstations.

Affected Products

  • NI LabVIEW 2026 Q1 (26.1.0)
  • NI LabVIEW versions prior to 2026 Q1
  • All platforms running vulnerable LabVIEW versions that support LVCLASS file parsing

Discovery Timeline

  • 2026-04-07 - CVE-2026-32861 published to NVD
  • 2026-04-08 - Last updated in NVD database

Technical Details for CVE-2026-32861

Vulnerability Analysis

This vulnerability is classified as CWE-787 (Out-of-bounds Write), a memory corruption flaw that occurs during the parsing of LVCLASS files in NI LabVIEW. When the application attempts to load a maliciously crafted .lvclass file, improper bounds checking allows data to be written beyond the allocated memory buffer boundaries.

The out-of-bounds write condition can corrupt adjacent memory regions, potentially overwriting critical data structures, function pointers, or return addresses. This memory corruption can be leveraged by an attacker to redirect program execution flow, enabling arbitrary code execution within the context of the LabVIEW application.

Given that LabVIEW is widely deployed in industrial automation, test and measurement, and research environments, successful exploitation could provide attackers with a foothold in sensitive operational technology (OT) networks.

Root Cause

The root cause stems from insufficient input validation and boundary checking when parsing LVCLASS file structures. The LVCLASS format, used by LabVIEW for defining object-oriented programming classes, contains complex nested data structures. When a corrupted or maliciously modified LVCLASS file is processed, the parser fails to properly validate size fields or array indices, resulting in write operations that exceed allocated buffer boundaries.

Attack Vector

The attack requires local access and user interaction. An attacker must craft a malicious .lvclass file and convince a user to open it within NI LabVIEW. Common delivery methods include:

  • Email attachments disguised as legitimate LabVIEW project files
  • Compromised file-sharing repositories containing malicious project components
  • Supply chain attacks through tampered LabVIEW libraries or components
  • Social engineering targeting engineers and developers who regularly work with LabVIEW projects

The vulnerability is triggered when the user opens or imports the malicious LVCLASS file, at which point the out-of-bounds write occurs during file parsing, before any code within the file would normally execute.

Detection Methods for CVE-2026-32861

Indicators of Compromise

  • Unusual LVCLASS files received via email or downloaded from untrusted sources
  • LabVIEW application crashes or unexpected behavior when opening project files
  • Memory access violations or application faults logged in system event logs
  • Unexpected child processes spawned by the LabVIEW executable
  • Anomalous network connections initiated by LabVIEW processes after file operations

Detection Strategies

  • Monitor file system activity for suspicious .lvclass file creation or modification in user directories
  • Implement endpoint detection rules for LabVIEW process anomalies such as unusual memory allocation patterns
  • Deploy email security filters to scan attachments for potentially malicious LabVIEW project files
  • Enable application crash reporting and analyze dumps for exploitation signatures related to heap or stack corruption

Monitoring Recommendations

  • Configure SIEM alerts for LabVIEW application crashes correlated with recent file open events
  • Implement file integrity monitoring for LabVIEW project directories to detect unauthorized modifications
  • Enable enhanced logging for user file download activities, particularly for .lvclass and related LabVIEW file types
  • Monitor process behavior for code execution anomalies following file parsing operations in LabVIEW

How to Mitigate CVE-2026-32861

Immediate Actions Required

  • Avoid opening LVCLASS files from untrusted or unknown sources until patches are applied
  • Implement strict email filtering to quarantine LabVIEW project file attachments for analysis
  • Apply the principle of least privilege to systems running NI LabVIEW to limit impact of potential exploitation
  • Educate users about the risks of opening unsolicited LabVIEW project files

Patch Information

NI has released a security update addressing this vulnerability. Administrators should consult the NI Security Advisory for the latest patch information and update NI LabVIEW to the most recent patched version.

Organizations should prioritize patching systems that handle LVCLASS files from external sources or operate in network-connected environments. Validate the patch deployment through your configuration management system and verify successful installation.

Workarounds

  • Restrict the ability to open LVCLASS files to only trusted and verified sources using application whitelisting
  • Implement network segmentation to isolate LabVIEW development systems from critical production networks
  • Configure endpoint protection to monitor and alert on suspicious file parsing behavior in LabVIEW processes
  • Consider disabling automatic file association for .lvclass files to require explicit user confirmation before opening

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

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechNi Labview

  • SeverityHIGH

  • CVSS Score8.5

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityHigh
  • AvailabilityHigh
  • CWE References
  • CWE-787
  • Technical References
  • NI Security Advisory
  • Related CVEs
  • CVE-2026-32863: NI LabVIEW RCE Vulnerability

  • CVE-2026-32860: NI LabVIEW RCE Vulnerability

  • CVE-2026-32864: NI LabVIEW Memory Corruption RCE Vulnerability

  • CVE-2026-32862: NI LabVIEW RCE 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