🛡️ STRIDE Threat Model - Automotive Security Framework

A comprehensive threat modeling tool for connected vehicle telemetry systems

📖 Overview

STRIDE Threat Model framework is an interactive educational tool that demonstrates the application of the Microsoft STRIDE framework to automotive telemetry systems. This tool helps security professionals, developers, and automotive engineers understand and mitigate security threats in connected vehicle architectures.

🎯 Key Features

• 🔍 Interactive Threat Analysis - Visual STRIDE categorization with detailed threat scenarios
• 🏗️ Architecture Visualization - Animated Data Flow Diagrams (DFD) with trust boundaries
• 🛡️ Risk Mitigation Planning - Defense-in-depth security control implementation
• 📊 Professional Reporting - Comprehensive security assessment documentation
• 🎨 Beautiful Interface - Modern, responsive design with smooth animations

🚀 Quick Start

Prerequisites

• Modern web browser (Chrome, Firefox, Safari, Edge)
• GitHub account (for deployment)

Local Development

1. Clone the repository

   git clone https://github.com/your-username/stride-threat-modeler.git
   cd stride-threat-modeler

2. Serve the application

   # Using Python 3
   python -m http.server 8000
   
   # Using Node.js
   npx serve .
   
   # Using PHP
   php -S localhost:8000

3. Open in browser

   http://localhost:8000
   

GitHub Pages Deployment

1. Fork this repository or create a new one

2. Upload all files to your repository

3. Enable GitHub Pages in repository settings:

   • Go to Settings → Pages
   • Select Source: Deploy from a branch
   • Select Branch: main (or your default branch)
   • Click Save

4. Access your application at:

   https://your-username.github.io/stride-threat-modeler
   

🏗️ Architecture

System Components

Component	Trust Level	Description	Security Controls
Car TCU	🔒 High	Telematics Control Unit in vehicle	Secure Boot, HSM, Firmware Signing
Cellular Network	🚫 None	Public 4G/5G infrastructure	TLS 1.3, Network Segmentation
IoT Gateway	🟡 Medium	Cloud message broker	mTLS, API Gateway, WAF
Telemetry DB	🔒 High	Time-series database	Encryption at Rest, RBAC, Backup

Trust Boundaries

• 🚗 Vehicle Trust Zone - High trust, physical access required
• 🌐 Public Network - Zero trust, untrusted infrastructure
• ☁️ Cloud Trust Zone - Managed trust, validated inputs only

🛡️ STRIDE Framework Implementation

Threat Categories

Category	Icon	Description	Example Threat
Spoofing	🕵️	Identity impersonation	TCU Identity Spoofing
Tampering	✏️	Data modification	Telemetry MITM Attack
Repudiation	❌	Action denial	Remote Command Repudiation
Information Disclosure	👁️	Data exposure	GPS History Leak
Denial of Service	🚫	Service degradation	Gateway DDoS Attack
Elevation of Privilege	⬆️	Unauthorized access	Remote Code Execution

Defense in Depth Strategy

1. 🔐 Physical Security

   • Hardware Security Modules
   • Secure Element
   • Tamper Detection

2. 🌐 Network Security

   • TLS 1.3 Encryption
   • Network Segmentation
   • Cloud WAF & DDoS Protection

3. ⚙️ Application Security

   • Input Validation
   • Secure Coding Practices
   • mTLS Authentication

4. 💾 Data Security

   • Encryption at Rest (AES-256)
   • Field-level Encryption
   • Secure Key Management

5. 👤 Identity & Access

   • Role-Based Access Control
   • Multi-Factor Authentication
   • Certificate-based Authentication

6. 📊 Monitoring & Response

   • Security Information & Event Management
   • Audit Logging
   • Incident Response Planning

📋 Usage Guide

Phase 1: Architecture Definition

• Review system architecture and trust boundaries
• Understand data flow and component interactions
• Identify critical assets and trust zones

Phase 2: Threat Analysis

• Select STRIDE categories to analyze specific threats
• Review detailed attack scenarios and risk assessments
• Understand impact and likelihood ratings

Phase 3: Risk Mitigation

• Implement security controls for identified threats
• Track mitigation progress with real-time scoring
• View defense-in-depth strategy implementation

Phase 4: Security Reporting

• Generate comprehensive security assessment reports
• Document compliance with automotive standards
• Print professional reports for stakeholders

🎨 Features Deep Dive

Interactive Diagram

• Animated data flow with real-time threat highlighting
• Trust boundary visualization with color-coded zones
• Component interaction with security status indicators
• Attack vector mapping with animated indicators

Security Scoring

• Real-time risk assessment based on implemented controls
• CVSS integration for standardized vulnerability scoring
• Compliance tracking against automotive security standards
• Progress visualization with animated progress rings

Professional Reporting

• Executive summaries for business stakeholders
• Technical deep dives for security teams
• Compliance documentation for regulatory requirements
• Actionable recommendations for improvement

🏆 Compliance Standards

This tool helps demonstrate compliance with:

• ✅ ISO 21434 - Road vehicles cybersecurity engineering
• ✅ UN R155 - Cybersecurity and cybersecurity management system
• ✅ SAE J3061 - Cybersecurity guidebook for cyber-physical vehicle systems
• ✅ NIST CSF - Cybersecurity Framework
• ✅ GDPR - General Data Protection Regulation

🛠️ Technical Implementation

File Structure

stride-threat-modeler/
│
├── index.html              # Main application entry point
├── styles.css              # Enhanced styling and animations
├── data.js                 # Threat data, components, and constants
├── app.js                  # Main application logic
│
├── assets/                 # Additional resources (optional)
│   ├── images/
│   └── icons/
│
└── README.md              # This file

Technologies Used

• Frontend: HTML5, CSS3, JavaScript (ES6+)
• Styling: Tailwind CSS, Custom CSS animations
• Icons: Font Awesome 6
• Charts: SVG-based progress indicators
• Storage: LocalStorage for state persistence

Browser Support

• ✅ Chrome 90+
• ✅ Firefox 88+
• ✅ Safari 14+
• ✅ Edge 90+

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support

• Documentation: This README and in-app guidance
• Issues: GitHub Issues
• Discussions: GitHub Discussions

🙏 Acknowledgments

• Microsoft for the STRIDE threat modeling methodology
• ISO/SAE for automotive cybersecurity standards
• UNECE for UN R155 regulations
• Open source community for tools and inspiration

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Built with ❤️ for the automotive security community

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