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-2026-32929

CVE-2026-32929: V-SFT Information Disclosure Vulnerability

CVE-2026-32929 is an information disclosure flaw in V-SFT caused by an out-of-bounds read when processing crafted V7 files. This article covers the technical details, affected versions, impact, and mitigation steps.

Published: April 2, 2026

CVE-2026-32929 Overview

CVE-2026-32929 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!get_macro_mem_COM function, where improper bounds checking allows an attacker to craft a malicious V7 file that, when opened by a user, can lead to information disclosure from the affected application's memory space.

Critical Impact

Successful exploitation of this vulnerability could allow an attacker to read sensitive information from memory, potentially exposing confidential data, application secrets, or memory contents that could be leveraged for further attacks.

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-2026-32929 published to NVD
  • 2026-04-01 - Last updated in NVD database

Technical Details for CVE-2026-32929

Vulnerability Analysis

This vulnerability is classified under CWE-125 (Out-of-Bounds Read), a memory corruption flaw that occurs when an application reads data past the boundary of an allocated memory buffer. In the context of V-SFT, the VS6ComFile!get_macro_mem_COM function fails to properly validate boundaries when processing V7 project files.

The attack requires local access and user interaction—specifically, a victim must open a specially crafted V7 file. Once opened, the vulnerable function reads beyond the intended memory boundaries, potentially exposing sensitive information stored in adjacent memory regions. This could include configuration data, memory addresses useful for defeating ASLR, or other sensitive application state information.

The impact extends beyond simple information disclosure; leaked memory contents could provide an attacker with valuable reconnaissance data to chain with other vulnerabilities for a more severe attack, such as remote code execution.

Root Cause

The root cause of CVE-2026-32929 lies in insufficient bounds checking within the VS6ComFile!get_macro_mem_COM function when parsing macro memory data from V7 files. The function does not adequately verify that read operations remain within the bounds of allocated buffers, allowing crafted input to trigger reads from unintended memory locations.

V7 files contain project configuration data for V-SFT HMI projects, and the parsing logic trusts size or offset values embedded in the file format without proper validation. An attacker can manipulate these values to cause the application to read beyond buffer boundaries.

Attack Vector

The attack vector for this vulnerability is local, requiring user interaction. An attacker would need to:

  1. Craft a malicious V7 file with manipulated offset or size values targeting the vulnerable parsing function
  2. Deliver the malicious file to a victim through social engineering, email attachments, or file-sharing mechanisms
  3. Convince the victim to open the crafted V7 file using the vulnerable V-SFT application
  4. Upon file parsing, the out-of-bounds read triggers, potentially disclosing memory contents

The vulnerability manifests during the file parsing process when V-SFT processes macro memory structures. The crafted file exploits improper boundary validation in the get_macro_mem_COM function, causing the application to read beyond allocated memory regions. For detailed technical information, refer to the JVN Security Vulnerability Report and the Fuji Electric Security Advisory.

Detection Methods for CVE-2026-32929

Indicators of Compromise

  • Unexpected V7 files appearing in project directories or arriving via email attachments
  • V-SFT application crashes or abnormal termination during file opening operations
  • Memory access violations or exception events logged during V-SFT file processing
  • Unusually sized or malformed V7 files with anomalous macro memory section headers

Detection Strategies

  • Deploy endpoint detection and response (EDR) solutions to monitor V-SFT process behavior for memory access anomalies
  • Implement file integrity monitoring for V7 project files to detect unauthorized modifications
  • Configure application whitelisting to prevent execution of untrusted or modified V-SFT binaries
  • Use static analysis tools to scan incoming V7 files for malformed structures before opening

Monitoring Recommendations

  • Enable detailed logging for V-SFT application events and file operations
  • Monitor for Windows crash reports (WER) involving V-SFT processes with memory access violations
  • Implement network monitoring to detect suspicious file downloads targeting HMI engineering workstations
  • Configure SIEM rules to alert on patterns of failed file operations in V-SFT environments

How to Mitigate CVE-2026-32929

Immediate Actions Required

  • Restrict access to V-SFT engineering workstations to authorized personnel only
  • Implement strict file handling policies for V7 files—only open files from trusted sources
  • Apply network segmentation to isolate HMI engineering environments from untrusted networks
  • Train users to recognize and avoid opening suspicious or unexpected V7 project files

Patch Information

Fuji Electric has released information regarding this vulnerability. Organizations should consult the official Fuji Electric Security Advisory for patch availability and update V-SFT to the latest version that addresses CVE-2026-32929. Additional details are available in the JVN Security Vulnerability Report.

Workarounds

  • Only open V7 files that originate from known, trusted sources with verified integrity
  • Implement sandboxing or virtual machine isolation when working with untrusted V7 project files
  • Disable automatic file association for V7 files to prevent accidental execution
  • Deploy application sandboxing solutions that can contain potential memory disclosure impacts
bash
# Configuration example - Restrict V7 file associations (Windows)
# Run as Administrator to remove automatic file association
assoc .v7=
ftype V7File=

# Block V7 files at email gateway if not required
# Example mail server rule (syntax varies by platform)
# Reject or quarantine attachments matching *.v7 pattern

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 Document Detail

  • JVN Security Vulnerability Report
  • Related CVEs
  • CVE-2026-32927: V-SFT Information Disclosure Vulnerability

  • CVE-2026-32926: 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