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-2026-35170

CVE-2026-35170: openFPGALoader Buffer Overflow Vulnerability

CVE-2026-35170 is a heap buffer overflow in openFPGALoader that allows out-of-bounds memory access via crafted .bit files. This post covers the technical details, affected versions, impact, and mitigation.

Published: April 10, 2026

CVE-2026-35170 Overview

CVE-2026-35170 is a heap-buffer-overflow read vulnerability affecting openFPGALoader, a utility for programming FPGAs. The vulnerability exists in the BitParser::parseHeader() function in versions 1.1.1 and earlier. When processing a specially crafted .bit file, the parser fails to properly validate buffer boundaries, allowing attackers to trigger out-of-bounds heap memory access. Notably, no physical FPGA hardware is required to exploit this vulnerability—a malicious .bit file is sufficient to trigger the flaw.

Critical Impact

Attackers can exploit this heap-buffer-overflow to read sensitive information from heap memory or cause application crashes through maliciously crafted .bit files, potentially leading to information disclosure or denial of service.

Affected Products

  • openFPGALoader version 1.1.1 and earlier

Discovery Timeline

  • 2026-04-06 - CVE CVE-2026-35170 published to NVD
  • 2026-04-07 - Last updated in NVD database

Technical Details for CVE-2026-35170

Vulnerability Analysis

This vulnerability is classified as CWE-125 (Out-of-bounds Read), a memory safety issue that occurs when software reads data past the boundary of allocated memory. In the context of openFPGALoader, the BitParser::parseHeader() function processes header information from Xilinx .bit bitstream files without adequate bounds checking.

When a user opens or processes a malicious .bit file, the parser attempts to read beyond the allocated heap buffer. This can expose sensitive information stored in adjacent memory regions or cause the application to crash when accessing invalid memory addresses. The vulnerability requires local access and user interaction (the user must open a crafted file), but no privileges are needed to exploit it.

The impact includes potential information disclosure from heap memory contents and denial of service through application crashes. Since openFPGALoader is used in FPGA development environments, compromised systems could expose sensitive design files or development data.

Root Cause

The root cause of CVE-2026-35170 lies in insufficient input validation within the BitParser::parseHeader() function. The parser does not properly verify that the length fields specified in the .bit file header correspond to the actual available data in the file buffer. When parsing malformed files with manipulated length values, the function reads beyond the heap-allocated buffer boundaries.

This is a classic out-of-bounds read condition where untrusted input (the .bit file) directly controls memory access operations without adequate sanitization or boundary enforcement.

Attack Vector

The attack requires local access to the target system. An attacker must convince a user to open or process a maliciously crafted .bit file using openFPGALoader. This could be accomplished through:

  1. Social engineering to deliver a malicious .bit file via email, file sharing, or download
  2. Compromising a repository or project that contains .bit files
  3. Supply chain attacks targeting FPGA development workflows

Once the victim processes the malicious file, the vulnerability triggers automatically during the header parsing phase. The attacker does not need any FPGA hardware present on the target system, making exploitation feasible against any system with openFPGALoader installed.

The vulnerability mechanism occurs during bitstream file parsing. When BitParser::parseHeader() processes the header section of a .bit file, it reads length fields that specify how much data to parse. A crafted file with manipulated length values causes the parser to read beyond the allocated buffer. For detailed technical analysis, see the GitHub Security Advisory.

Detection Methods for CVE-2026-35170

Indicators of Compromise

  • Unexpected crashes of the openFPGALoader application when processing .bit files
  • Core dumps or memory access violation errors related to openFPGALoader processes
  • Unusual .bit files with abnormal header structures or suspicious length field values
  • Presence of .bit files from untrusted or unexpected sources in FPGA development directories

Detection Strategies

  • Monitor for segmentation faults or memory access violations in openFPGALoader processes
  • Implement file integrity monitoring for .bit files in development environments
  • Deploy endpoint detection solutions that can identify heap overflow exploitation attempts
  • Use AddressSanitizer (ASan) or similar memory error detectors during development and testing

Monitoring Recommendations

  • Enable application crash reporting and centralize logs for openFPGALoader usage
  • Monitor file access patterns for .bit files from untrusted network locations or email attachments
  • Implement alerting for unusual patterns of openFPGALoader crashes or restarts
  • Review development environment logs for repeated parsing failures or memory errors

How to Mitigate CVE-2026-35170

Immediate Actions Required

  • Update openFPGALoader to a patched version when available (versions after 1.1.1)
  • Validate the source and integrity of all .bit files before processing
  • Restrict openFPGALoader usage to trusted, verified bitstream files only
  • Implement file quarantine procedures for .bit files received from external sources

Patch Information

A security advisory has been published for this vulnerability. Users should monitor the openFPGALoader GitHub Security Advisory for patch availability and upgrade instructions. The fix addresses the bounds checking issue in the BitParser::parseHeader() function to prevent out-of-bounds reads.

Workarounds

  • Avoid processing .bit files from untrusted or unverified sources until a patch is applied
  • Run openFPGALoader in a sandboxed or containerized environment to limit potential impact
  • Implement strict access controls on systems where openFPGALoader is installed
  • Use network segmentation to isolate FPGA development environments from general-purpose systems
bash
# Example: Run openFPGALoader in a sandboxed environment using firejail
firejail --private --net=none openFPGALoader -b <board> -f trusted_bitstream.bit

# Alternatively, verify file sources before processing
sha256sum bitstream.bit  # Compare against known-good checksums

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechOpenfpga Loader

  • SeverityHIGH

  • CVSS Score7.1

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-125
  • Technical References
  • GitHub Security Advisory
  • Latest CVEs
  • CVE-2026-40322: SiYuan Knowledge Management RCE Vulnerability

  • CVE-2026-40318: SiYuan Path Traversal Vulnerability

  • CVE-2026-40259: SiYuan Auth Bypass Vulnerability

  • CVE-2026-40255: AdonisJS HTTP Server CSRF 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