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-2026-32926

CVE-2026-32926: V-SFT Information Disclosure Vulnerability

CVE-2026-32926 is an information disclosure flaw in V-SFT caused by an out-of-bounds read when processing crafted V7 files. This post covers the technical details, affected versions, impact, and mitigation steps.

Published: April 2, 2026

CVE-2026-32926 Overview

CVE-2026-32926 is an out-of-bounds read vulnerability affecting Fuji Electric V-SFT versions 6.2.10.0 and prior. The vulnerability exists in the VS6ComFile!load_link_inf function, where improper boundary checking allows an attacker to read memory beyond the intended buffer boundaries. Successful exploitation requires user interaction—specifically, opening a crafted V7 file—which may lead to information disclosure from the affected product.

Critical Impact

Opening a maliciously crafted V7 file in vulnerable V-SFT installations can expose sensitive information from memory, potentially revealing internal data structures, credentials, or other confidential information processed by the application.

Affected Products

  • V-SFT version 6.2.10.0
  • V-SFT versions prior to 6.2.10.0
  • Fuji Electric V-SFT HMI configuration software

Discovery Timeline

  • 2026-04-01 - CVE CVE-2026-32926 published to NVD
  • 2026-04-01 - Last updated in NVD database

Technical Details for CVE-2026-32926

Vulnerability Analysis

This vulnerability is classified as CWE-125 (Out-of-Bounds Read), a memory corruption flaw that occurs when software reads data past the end or before the beginning of an intended buffer. In the context of V-SFT, the VS6ComFile!load_link_inf function fails to properly validate input boundaries when parsing V7 project files.

The local attack vector requires user interaction to open a specially crafted V7 file. While this limits opportunistic exploitation, social engineering tactics such as phishing campaigns targeting industrial control system engineers could effectively deliver malicious files. The vulnerability can lead to unauthorized access to sensitive memory contents, potentially exposing confidential configuration data, internal application state, or memory artifacts that could facilitate further attacks.

Root Cause

The root cause of CVE-2026-32926 lies in insufficient bounds checking within the VS6ComFile!load_link_inf function. When processing link information structures in V7 files, the function does not adequately validate that read operations remain within allocated buffer boundaries. This allows a crafted file with malformed size fields or structure definitions to trigger reads beyond the intended memory region.

Attack Vector

The attack requires local access and user interaction. An attacker must craft a malicious V7 file containing manipulated data structures that exploit the bounds-checking deficiency. When a user opens this file with a vulnerable version of V-SFT, the load_link_inf function processes the malformed structures without proper validation, causing the application to read memory beyond the allocated buffer.

The attack scenario typically involves:

  1. Creating a specially crafted V7 file with malformed link information structures
  2. Delivering the file to a target user via email attachment, file share, or compromised download
  3. Convincing the user to open the file in V-SFT
  4. The out-of-bounds read occurs during file parsing, potentially disclosing memory contents

For detailed technical information about this vulnerability, refer to the Fujielectric Security Document and the JVN Security Vulnerability Notice.

Detection Methods for CVE-2026-32926

Indicators of Compromise

  • Unexpected crashes or error messages in V-SFT when opening V7 files from untrusted sources
  • V7 files with unusual file sizes or malformed internal structures arriving via email or file transfers
  • Memory access violations or application faults logged in system event logs related to V-SFT processes
  • Suspicious V7 files with recent modification timestamps from unknown origins

Detection Strategies

  • Implement file integrity monitoring for V7 project files in shared directories and engineering workstations
  • Deploy endpoint detection and response (EDR) solutions capable of detecting memory access anomalies in V-SFT processes
  • Configure email security gateways to quarantine or scan V7 file attachments from external sources
  • Enable application-level logging to capture file open operations and identify suspicious V7 file access patterns

Monitoring Recommendations

  • Monitor V-SFT application processes for abnormal memory access patterns or unexpected terminations
  • Implement centralized logging for engineering workstations running V-SFT to correlate potential exploitation attempts
  • Track file access events for V7 files, particularly those received from external sources or newly created files

How to Mitigate CVE-2026-32926

Immediate Actions Required

  • Update V-SFT to the latest version that addresses CVE-2026-32926 as provided by Fuji Electric
  • Restrict V7 file handling to only trusted, verified sources until patches are applied
  • Educate users about the risks of opening V7 files from unknown or untrusted sources
  • Implement network segmentation to isolate engineering workstations from general network traffic

Patch Information

Fuji Electric has released security documentation addressing this vulnerability. Organizations should consult the Fujielectric Security Document for official patch information and update instructions. The JVN Security Vulnerability Notice provides additional guidance on affected versions and remediation steps.

Workarounds

  • Implement strict file validation policies that prevent users from opening V7 files received via email or external sources without prior verification
  • Deploy application whitelisting to control which processes can open V7 files on engineering workstations
  • Use sandboxed environments or isolated virtual machines for opening V7 files from untrusted sources
  • Enable Windows Data Execution Prevention (DEP) and Address Space Layout Randomization (ASLR) to limit the impact of memory corruption vulnerabilities
bash
# Windows registry configuration to enable DEP for all processes
# Run as Administrator in Command Prompt
bcdedit /set nx AlwaysOn

# Verify DEP status
wmic OS Get DataExecutionPrevention_SupportPolicy

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

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechV Sft

  • SeverityHIGH

  • CVSS Score8.4

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/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-125
  • Technical References
  • Fujielectric Security Document

  • JVN Security Vulnerability Notice
  • Related CVEs
  • CVE-2026-32929: V-SFT Information Disclosure Vulnerability

  • CVE-2026-32927: V-SFT Information Disclosure Vulnerability

  • CVE-2026-32928: V-SFT Buffer Overflow Vulnerability

  • CVE-2026-32925: V-SFT Buffer Overflow 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