🎯 Black Trigram (흑괘) — Threat Model

🛡️ Proactive Security Through Structured Threat Analysis
🔍 STRIDE • MITRE ATT&CK • Frontend-Only Architecture • Educational Gaming Security

📋 Document Owner: CEO | 📄 Version: 2.1 | 📅 Last Updated: 2026-04-21 (UTC)
🔄 Review Cycle: Annual | ⏰ Next Review: 2027-04-21
🏷️ Classification: Public (Open Source Educational Gaming Platform)

🎯 Purpose & Scope

Establish a comprehensive threat model for the Black Trigram Korean martial arts combat simulator. This systematic threat analysis integrates multiple threat modeling frameworks to ensure proactive security through structured analysis of the frontend-only educational gaming platform.

🌟 Transparency Commitment

This threat model demonstrates 🛡️ cybersecurity consulting expertise through public documentation of advanced threat assessment methodologies for browser-based gaming platforms, showcasing our 🏆 competitive advantage via systematic risk management and 🤝 customer trust through transparent security practices.

— Based on Hack23 AB's commitment to security through transparency and excellence

📚 Framework Integration

🎭 STRIDE per architecture element: Systematic threat categorization for frontend components
🎖️ MITRE ATT&CK mapping: Client-side attack technique integration
🏗️ Asset-centric analysis: Educational content and user experience protection
🎯 Scenario-centric modeling: Real-world gaming platform attack simulation
⚖️ Risk-centric assessment: Educational value and cultural sensitivity impact

🎯 Multi-Strategy Threat Modeling Integration

This threat model implements all five strategies defined in Hack23 AB Threat Modeling Policy §4:

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mindmap
  root)🎯 Black Trigram Threat Modeling(
    (🎖️ Attacker-Centric)
      [MITRE ATT&CK Mapping]
      [Attack Tree Analysis]
      [Kill Chain Disruption]
      [Threat Agent Profiling]
    (🏗️ Asset-Centric)
      [Crown Jewel Analysis]
      [Asset Inventory & Classification]
      [Data Flow Threat Annotations]
      [Cultural Content Protection]
    (🏛️ Architecture-Centric)
      [STRIDE per Element]
      [Trust Boundary Analysis]
      [DFD with Threat Annotations]
      [Frontend Security Architecture]
    (🎯 Scenario-Centric)
      [Priority Threat Scenarios]
      [Cultural Misuse Cases]
      [Educational Integrity What-If]
      [Gaming Platform Attack Simulation]
    (⚖️ Risk-Centric)
      [Quantitative Risk Assessment]
      [Risk Heat Matrix]
      [Business Impact Analysis]
      [Residual Risk Tracking]

🔍 Scope Definition

Included Systems:

🌐 React + Three.js frontend application
🎨 Static asset delivery (CDN-based)
🎵 Audio streaming and management
🔐 Browser-based session management
🏭️ CI/CD security pipeline (GitHub Actions)
📦 Dependency management and supply chain

Out of Scope:

Backend services (none exist - frontend-only architecture)
User data persistence (session-only by design)
Third-party CDN infrastructure security (external dependency)
End-user device security beyond browser environment

🔗 Policy Alignment

Integrated with 🎯 Hack23 AB Threat Modeling Policy methodology and frameworks.

📊 System Classification & Operating Profile

🏷️ Security Classification Matrix

Dimension	Level	Rationale	Business Impact
🔐 Confidentiality		Open source educational content, no personal data collection
🔒 Integrity		Educational content accuracy and Korean cultural authenticity critical
⚡ Availability		Educational gaming platform; tolerates maintenance windows

⚖️ Regulatory & Compliance Profile

Compliance Area	Classification	Implementation Status
📋 Regulatory Exposure	Low	No personal data collection, educational content only
🇪🇺 CRA (EU Cyber Resilience Act)	Standard classification	Non-commercial OSS, self-assessment approach
📊 Educational Standards	Cultural sensitivity required	Korean martial arts authenticity and respect
🔄 RPO / RTO	RPO: Daily / RTO: Medium	Session-only data, CDN-based recovery

💎 Critical Assets & Protection Goals

🏗️ Asset-Centric Threat Analysis

Following Hack23 AB Asset-Centric Threat Modeling methodology:

Asset Category	Why Valuable	Threat Goals	Key Controls
🎮 Game Integrity	Educational value and user experience	Content manipulation, gameplay disruption	CSP headers, SRI, input validation
🇰🇷 Cultural Content	Korean martial arts authenticity	Cultural misrepresentation, offensive content	Content validation, cultural consultation
🧠 Source Code	Game logic and educational algorithms	IP theft, malicious injection	Private repo, dependency scanning, SLSA provenance
📦 Static Assets	Visual and audio experience	Asset tampering, malicious content injection	CDN integrity, asset signing, SRI validation
🎵 Audio Content	Traditional Korean music authenticity	Copyright violation, cultural appropriation	License compliance, cultural validation
🏗️ Build Pipeline	Security baseline and deployment integrity	Supply chain attacks, malicious code injection	Hardened workflows, attestations, dependency pinning
👤 User Session Data	Temporary game state and preferences	Session hijacking, data manipulation	Session-only design, secure storage APIs
🌐 Domain Reputation	Blacktrigram.com brand trust	Domain hijacking, DNS manipulation	DNSSEC, CAA records, domain monitoring

🔐 Crown Jewel Analysis

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flowchart TB
    subgraph CROWN_JEWELS["💎 Crown Jewels"]
        EDUCATIONAL["🎓 Educational Integrity<br/>Korean Martial Arts Authenticity"]
        CULTURAL["🇰🇷 Cultural Content<br/>Traditional Knowledge & Respect"]
        GAMEPLAY["🎮 Game Experience<br/>User Engagement & Performance"]
        DOMAIN["🌐 Domain Trust<br/>Blacktrigram.com Reputation"]
    end

    subgraph ATTACK_VECTORS["⚔️ Primary Attack Vectors"]
        CONTENT_POISON["💉 Content Poisoning"]
        SUPPLY_CHAIN["🔗 Supply Chain Attack"]
        CLIENT_EXPLOIT["💻 Client-Side Exploitation"]
        CULTURAL_ATTACK["🏛️ Cultural Misrepresentation"]
        DOMAIN_HIJACK["🌐 Domain Hijacking"]
        SESSION_ATTACK["👤 Session Manipulation"]
    end

    subgraph THREAT_AGENTS["👥 Key Threat Agents"]
        SCRIPT_KIDDIES["🐛 Script Kiddies<br/>Simple Web Exploits"]
        CULTURAL_TROLLS["🎭 Cultural Trolls<br/>Offensive Content Injection"]
        MALWARE_DISTRIBUTORS["🦠 Malware Distributors<br/>Browser Exploitation"]
        COMPETITOR_SABOTAGE["🏢 Competitor Sabotage<br/>Platform Disruption"]
        NATION_STATE["🏛️ Nation-State Actors<br/>Cultural/Political Agenda"]
        CRIMINAL_GROUPS["💰 Cybercriminal Groups<br/>Monetization/Disruption"]
    end

    CONTENT_POISON --> EDUCATIONAL
    CULTURAL_ATTACK --> CULTURAL
    CLIENT_EXPLOIT --> GAMEPLAY
    SUPPLY_CHAIN --> EDUCATIONAL
    DOMAIN_HIJACK --> DOMAIN
    SESSION_ATTACK --> GAMEPLAY

    SCRIPT_KIDDIES --> CLIENT_EXPLOIT
    CULTURAL_TROLLS --> CULTURAL_ATTACK
    MALWARE_DISTRIBUTORS --> CONTENT_POISON
    COMPETITOR_SABOTAGE --> SUPPLY_CHAIN
    NATION_STATE --> DOMAIN_HIJACK
    CRIMINAL_GROUPS --> SESSION_ATTACK

    style EDUCATIONAL fill:#ffcdd2,stroke:#d32f2f,color:#000
    style CULTURAL fill:#ffcdd2,stroke:#d32f2f,color:#000
    style GAMEPLAY fill:#ffcdd2,stroke:#d32f2f,color:#000
    style DOMAIN fill:#ffcdd2,stroke:#d32f2f,color:#000

🌐 Data Flow & Architecture Analysis

🏛️ Architecture-Centric STRIDE Analysis

Following Architecture-Centric Threat Modeling methodology:

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flowchart TB
    subgraph TRUST_BOUNDARY_1["🌐 Internet Trust Boundary"]
        USER["👤 Player/Learner"]
        ATTACKER["🎭 Potential Attacker"]
    end

    subgraph TRUST_BOUNDARY_2["📦 CDN Trust Boundary"]
        STATIC_CDN["📄 Static Asset CDN"]
        AUDIO_CDN["🎵 Audio Asset CDN"]
        APP_CDN["🌐 Application CDN"]
    end

    subgraph TRUST_BOUNDARY_3["🖥️ Browser Trust Boundary"]
        BROWSER["🌐 Web Browser"]
        REACT_APP["⚛️ React Application"]
        THREE_RENDERER["🎨 Three.js Renderer"]
        AUDIO_ENGINE["🎵 Audio Engine"]
        LOCAL_STORAGE["💾 Browser Storage"]
    end

    subgraph TRUST_BOUNDARY_4["🏗️ Build Trust Boundary"]
        GITHUB["📦 GitHub Repository"]
        CI_CD["🔧 GitHub Actions"]
        DEPENDENCIES["📚 NPM Dependencies"]
        ATTESTATIONS["🔏 SLSA Attestations"]
    end

    subgraph TRUST_BOUNDARY_5["🌐 Domain Trust Boundary"]
        DNS["🌍 DNS Resolution"]
        DOMAIN["🏷️ blacktrigram.com"]
        TLS["🔒 TLS Certificate"]
    end

    USER -->|🎯 T1: Malicious Input| BROWSER
    ATTACKER -->|🎯 T2: XSS/Client Attacks| REACT_APP
    STATIC_CDN -->|🎯 T3: Asset Tampering| BROWSER
    AUDIO_CDN -->|🎯 T4: Malicious Audio| AUDIO_ENGINE
    APP_CDN -->|🎯 T5: Code Injection| REACT_APP
    REACT_APP -->|🎯 T6: Data Exposure| LOCAL_STORAGE
    CI_CD -->|🎯 T7: Supply Chain| GITHUB
    DEPENDENCIES -->|🎯 T8: Dependency Poisoning| CI_CD
    DNS -->|🎯 T9: DNS Poisoning| DOMAIN
    DOMAIN -->|🎯 T10: Domain Hijacking| TLS
    ATTESTATIONS -->|🎯 T11: Attestation Bypass| CI_CD

    style TRUST_BOUNDARY_1 fill:#ffebee,stroke:#f44336,stroke-width:3px,stroke-dasharray: 5 5
    style TRUST_BOUNDARY_2 fill:#fff3e0,stroke:#ff9800,stroke-width:3px,stroke-dasharray: 5 5
    style TRUST_BOUNDARY_3 fill:#e8f5e9,stroke:#4caf50,stroke-width:3px,stroke-dasharray: 5 5
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    style TRUST_BOUNDARY_5 fill:#f3e5f5,stroke:#9c27b0,stroke-width:3px,stroke-dasharray: 5 5

🎭 STRIDE per Element Analysis

Element	S	T	R	I	D	E	Notable Mitigations
🌐 Web Browser	Content spoof	DOM manipulation	Limited	Same-origin bypass	Crash/hang	CSP bypass	CSP headers, SRI, HTTPS enforcement
⚛️ React App	Component hijack	State tampering	Action denial	Data leakage	Component failure	Virtual DOM escape	Input sanitization, React security patterns
🎨 Three.js Renderer	Asset spoof	Texture tampering	Render denial	GPU data leak	WebGL crash	Sandbox escape	Asset validation, WebGL security context
🎵 Audio Engine	Audio spoof	Buffer overflow	Playback denial	Audio fingerprinting	Audio system crash	Browser privilege esc	Audio validation, Howler.js security
💾 Browser Storage	Data substitution	Storage tampering	Access denial	Data extraction	Storage exhaustion	Storage pollution	Session-only design, size limits
📦 Static CDN	Asset substitution	Content injection	CDN outage	Metadata exposure	DDoS	Cache poisoning	SRI, HTTPS, CDN security
🔧 CI/CD Pipeline	Workflow spoof	Build tampering	Deploy denial	Secret exposure	Pipeline DoS	Runner compromise	Hardened workflows, attestations
🌍 DNS System	DNS response spoof	Record tampering	Query denial	Zone enumeration	DNS flood	Cache poisoning	DNSSEC, monitoring
🏷️ Domain	Domain spoof	Registration hijack	Transfer denial	WHOIS exposure	Domain lock	Registrar compromise	Domain monitoring, locks

🎖️ MITRE ATT&CK Framework Integration

🔍 Attacker-Centric Analysis

Following MITRE ATT&CK-Driven Analysis methodology:

Phase	Technique	ID	Black Trigram Context	Control	Detection
🔍 Initial Access	Drive-by Compromise	T1189	Malicious ads or compromised websites leading to game	Ad blockers, browser security	Traffic analysis, browser monitoring
🔍 Initial Access	Supply Chain Compromise	T1195	Compromised NPM dependencies or CDN assets	Dependency scanning, SRI, SLSA	Dependency monitoring, integrity checks
🔍 Initial Access	External Remote Services	T1133	Compromise of GitHub or CDN services	MFA, access controls, monitoring	Service access logs, anomaly detection
⚡ Execution	User Execution	T1204	Malicious game interactions or asset loading	Input validation, CSP	User behavior analysis
⚡ Execution	JavaScript	T1059.007	Malicious JavaScript execution in browser	CSP, SRI, content validation	Script execution monitoring
🔄 Persistence	Browser Session Hijacking	T1185	Session token manipulation in browser storage	Session-only design, secure storage	Session monitoring
🔄 Persistence	Browser Extensions	T1176	Malicious browser extensions affecting gameplay	Extension security warnings	Browser extension monitoring
⬆️ Privilege Escalation	Web Shell	T1505.003	Not applicable - no server-side code	N/A	N/A
🎭 Defense Evasion	Obfuscated Files	T1027	Minified malicious JavaScript in assets	Static analysis, content validation	Code analysis, anomaly detection
🎭 Defense Evasion	Domain Fronting	T1090.004	CDN abuse for malicious content delivery	CDN security controls, monitoring	Traffic pattern analysis
🔑 Credential Access	Brute Force	T1110	Not applicable - no authentication system	N/A - no credentials	N/A
🔑 Credential Access	Browser Credential Dumping	T1555.003	Extracting saved credentials from browser	No credential storage	Browser security monitoring
🔍 Discovery	Application Window Discovery	T1010	Browser fingerprinting through game canvas	Canvas fingerprint protection	Canvas access monitoring
🔍 Discovery	System Information Discovery	T1082	Browser and device fingerprinting	Fingerprint resistance	System access monitoring
🏛️ Collection	Audio Capture	T1123	Microphone access through Web Audio API	Microphone permission controls	Audio permission monitoring
🏛️ Collection	Screen Capture	T1113	Screenshot capture during gameplay	Screen capture permissions	Screen access monitoring
📤 Exfiltration	Exfil Over Web Service	T1567	Data exfiltration through game telemetry	No telemetry collection	N/A - no data to exfiltrate
📤 Exfiltration	Exfil Over DNS	T1048.003	DNS tunneling for data exfiltration	DNS monitoring	DNS query analysis
💥 Impact	Defacement	T1491	Malicious content injection or cultural misrepresentation	Content validation, cultural review	Content monitoring
💥 Impact	Endpoint Denial of Service	T1499	Client-side DoS through resource exhaustion	Resource limits, performance monitoring	Performance anomaly detection

🌳 Attack Tree Analysis

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flowchart TD
    GOAL["🎯 Compromise Black Trigram<br/>Educational Gaming Platform"]

    GOAL --> PATH1["🚪 External Web Attack"]
    GOAL --> PATH2["🔒 Client-Side Abuse"]
    GOAL --> PATH3["🔗 Supply Chain Compromise"]
    GOAL --> PATH4["🌐 Infrastructure Attack"]
    GOAL --> PATH5["🏛️ Cultural/Social Attack"]

    PATH1 --> EXT1["🌐 Web Application Exploit"]
    PATH1 --> EXT2["🔌 CDN/Asset Abuse"]
    PATH1 --> EXT3["📧 Social Engineering"]

    EXT1 --> EXT1A["🔍 XSS/CSRF Attack"]
    EXT1 --> EXT1B["💉 Content Injection"]
    EXT1A --> EXT1A1["🎯 Session Hijacking"]
    EXT1B --> EXT1B1["📊 Data Corruption"]

    EXT2 --> EXT2A["📦 Malicious Asset Injection"]
    EXT2 --> EXT2B["🎵 Audio Content Tampering"]
    EXT2A --> EXT2A1["🦠 Malware Distribution"]
    EXT2B --> EXT2B1["🎭 Cultural Offensive Content"]

    PATH2 --> CLI1["🖥️ Browser Exploitation"]
    PATH2 --> CLI2["👤 User Session Abuse"]
    CLI1 --> CLI1A["🎨 WebGL/Canvas Attack"]
    CLI1 --> CLI1B["🔊 Audio System Exploit"]
    CLI2 --> CLI2A["💾 Storage Manipulation"]
    CLI2 --> CLI2B["🎮 Gameplay Disruption"]

    PATH3 --> SUP1["📚 NPM Dependency Attack"]
    PATH3 --> SUP2["🔧 Build Pipeline Compromise"]
    SUP1 --> SUP1A["🦠 Malicious Package Injection"]
    SUP2 --> SUP2A["🏗️ CI/CD Tampering"]

    PATH4 --> INF1["🌐 DNS/Domain Attack"]
    PATH4 --> INF2["📦 CDN Infrastructure"]
    INF1 --> INF1A["🏷️ Domain Hijacking"]
    INF1 --> INF1B["🌍 DNS Poisoning"]
    INF2 --> INF2A["📄 Asset Tampering"]
    INF2 --> INF2B["🔒 CDN Compromise"]

    PATH5 --> CUL1["🇰🇷 Cultural Misrepresentation"]
    PATH5 --> CUL2["🎭 Community Manipulation"]
    CUL1 --> CUL1A["🏛️ Offensive Content Injection"]
    CUL1 --> CUL1B["📚 Educational Misinformation"]
    CUL2 --> CUL2A["👥 Social Media Campaign"]
    CUL2 --> CUL2B["🗣️ Reputation Attack"]

    style GOAL fill:#d32f2f,color:#fff
    style PATH1 fill:#ff5722,color:#fff
    style PATH2 fill:#ff9800,color:#fff
    style PATH3 fill:#ffc107,color:#000
    style PATH4 fill:#9c27b0,color:#fff
    style PATH5 fill:#e91e63,color:#fff

🔗 Kill Chain Disruption Analysis

Following Hack23 AB Threat Modeling Policy §4.1.4 — mapping defensive controls to each Cyber Kill Chain phase for the frontend-only architecture:

Kill Chain Phase	Black Trigram Attack Vector	Defensive Control	Detection Mechanism
1. Reconnaissance	Scanning for frontend vulnerabilities, technology fingerprinting	Minimize exposed metadata, generic error pages, security headers	Web analytics anomaly detection, CDN access logs
2. Weaponization	Crafting XSS payloads, malicious asset packages, supply chain exploits	N/A — occurs externally; mitigate via proactive dependency monitoring	Threat intelligence feeds, CVE monitoring, GitHub Security Advisories
3. Delivery	Compromised CDN assets, malicious NPM packages, phishing links	CSP headers, SRI validation, dependency pinning, SLSA attestations	Dependency scanning (Dependabot), SRI mismatch alerts, CDN integrity monitoring
4. Exploitation	XSS execution, DOM manipulation, WebGL/Canvas exploits	React security patterns, strict CSP, input sanitization, Three.js security context	CSP violation reporting, error boundary triggers, performance anomaly detection
5. Installation	Persistent browser storage manipulation, service worker hijacking	Session-only design, no persistent data, minimal browser API permissions	Storage quota monitoring, service worker integrity validation
6. Command & Control	Exfiltration via DNS tunneling, WebSocket abuse, beacon injection	No outbound data channels by design, strict CORS, no telemetry collection	Network monitoring (CDN logs), CORS violation alerts
7. Actions on Objectives	Content defacement, cultural misrepresentation, user device exploitation	Content integrity validation, cultural review process, browser sandbox	Content monitoring, community reporting, performance budget alerts

Key Insight: Black Trigram's frontend-only architecture provides natural kill chain disruption at phases 5-6, as there is no persistent installation vector and no command & control channel by design. The primary attack surface is concentrated at phases 3-4 (delivery and exploitation), where CSP, SRI, and supply chain security controls provide strong defense.

🎯 Priority Threat Scenarios

🔴 Critical Threat Scenarios

Following Risk-Centric Threat Modeling methodology:

#	Scenario	MITRE Tactic	Impact Focus	Likelihood	Key Mitigations	Residual Action
1	🔗 Supply Chain Dependency Attack	Initial Access	Educational integrity & user safety	Medium	SBOM, dependency scanning, SLSA attestations	Implement automated dependency monitoring
2	🎭 Cultural Content Manipulation	Impact	Korean cultural authenticity & respect	Medium	Content validation, cultural consultation	Establish cultural advisory board
3	📦 Malicious Asset Injection	Initial Access	User device security & game integrity	Medium	SRI, CSP headers, asset validation	Implement runtime asset verification
4	🌐 Domain Hijacking/DNS Attack	Initial Access	Platform availability & user trust	Low	DNSSEC, domain monitoring, registrar locks	Add domain monitoring automation
5	🌐 Cross-Site Scripting (XSS)	Execution	User data & browser security	Medium	React security patterns, CSP, input sanitization	Add XSS testing to CI/CD
6	🎨 WebGL/Canvas Exploitation	Execution	Browser stability & user security	Low	Three.js security practices, WebGL limits	Monitor WebGL security advisories
7	📱 Mobile Browser Exploitation	Execution	Mobile user security & performance	Medium	Mobile-specific security headers, testing	Enhance mobile security testing
8	⚡ Denial of Service (Performance)	Impact	User experience & accessibility	Medium	Performance monitoring, resource limits	Implement performance budgets

⚖️ Risk Heat Matrix

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quadrantChart
    title 🎯 Black Trigram Risk Heat Matrix
    x-axis Low Likelihood --> High Likelihood
    y-axis Low Impact --> High Impact
    quadrant-1 Monitor & Prepare
    quadrant-2 Immediate Action Required
    quadrant-3 Accept Risk
    quadrant-4 Mitigate & Control

    "🔗 Supply Chain Attack": [0.6, 0.9]
    "🎭 Cultural Content Attack": [0.5, 0.85]
    "📦 Malicious Asset Injection": [0.55, 0.75]
    "🌐 Domain Hijacking": [0.3, 0.8]
    "🌐 XSS Injection": [0.6, 0.6]
    "🎨 WebGL Exploitation": [0.3, 0.65]
    "📱 Mobile Browser Attack": [0.5, 0.55]
    "⚡ Performance DoS": [0.7, 0.4]
    "💾 Storage Manipulation": [0.5, 0.3]
    "🔍 Browser Fingerprinting": [0.8, 0.2]
    "📱 Mobile Compatibility": [0.6, 0.35]
    "🎵 Audio System Exploit": [0.2, 0.5]
    "🌍 DNS Poisoning": [0.25, 0.7]
    "🔒 CDN Compromise": [0.35, 0.65]

📊 Comprehensive Threat Agent Analysis

🔍 Detailed Threat Actor Classification

Following Hack23 AB Threat Agent Classification methodology:

Threat Agent	Category	Black Trigram Context	MITRE Techniques	Motivation
🐛 Script Kiddies	External	Basic web application attacks using automated tools	XSS, Client-side DoS	Fame, learning, disruption
🎭 Cultural Trolls	External	Targeting Korean cultural content for offensive manipulation	Defacement, Content Injection	Cultural hatred, trolling
🦠 Malware Distributors	External	Using gaming platform to distribute malware to users	Drive-by Compromise, Supply Chain	Financial gain, botnet building
🏢 Competitor Sabotage	External	Other gaming companies attempting platform disruption	DoS, Supply Chain	Market competition
🏛️ Nation-State Actors	External	State actors targeting Korean cultural representation	Domain Fronting, DNS Manipulation	Political/cultural influence
💰 Cybercriminal Groups	External	Professional criminals targeting user devices through gaming	Exploit Kits, Browser Exploits	Financial gain, data theft
🔒 Accidental Insiders	Internal	Unintentional security issues in development process	Accidental Exposure, Misconfigurations	No malicious intent
🎯 Malicious Insiders	Internal	Compromised developer accounts or malicious code injection	Supply Chain, Code Injection	Various motivations
🤝 Third-Party CDN/Services	External	Compromise of external services used by the platform	Third-party Service, Supply Chain	Indirect compromise

🌐 Current Threat Landscape — ENISA TL 2024 Integration

Following Hack23 AB Threat Modeling Policy §3.1 alignment with ENISA Threat Landscape 2024 priority threat categories:

ENISA Priority Threat	Relevance to Black Trigram	Black Trigram Controls	Coverage
1. Threats Against Availability	CDN/hosting DoS, client-side resource exhaustion, performance degradation attacks	CloudFront CDN, resource limits, performance monitoring, error boundaries	✅ Mitigated
2. Ransomware	Low relevance — no server-side data, no persistent user data; supply chain risk via compromised dependencies	Session-only design, no data persistence, SBOM, dependency scanning	✅ Mitigated by Design
3. Threats Against Data	Limited — no user data collection; educational content integrity at risk	No PII collection, session-only storage, content integrity validation	✅ Mitigated by Design
4. Malware	Drive-by downloads via compromised assets, malicious JavaScript injection through supply chain	CSP headers, SRI validation, dependency scanning, SLSA attestations	✅ Mitigated
5. Social Engineering	Phishing targeting developers for CI/CD access, fake Korean cultural content submissions	MFA on all accounts, branch protection, code review requirements	✅ Mitigated
6. Information Manipulation	Cultural misrepresentation of Korean martial arts, educational misinformation injection	Cultural expert validation, content review process, community reporting	✅ Mitigated
7. Supply Chain Attacks	Compromised NPM packages, malicious GitHub Actions, CDN asset tampering	SBOM generation, SLSA provenance, dependency pinning, SRI, hardened CI/CD	✅ Mitigated

🛡️ Comprehensive Security Control Framework

🔒 Defense-in-Depth Architecture

Aligned with Security Architecture implementation:

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flowchart TB
    subgraph PERIMETER["🌐 Perimeter Security"]
        HTTPS["🔐 HTTPS Enforcement"]
        CDN["📦 CDN Security"]
        SRI["🔒 Subresource Integrity"]
    end

    subgraph APPLICATION["📱 Application Security"]
        CSP["🛡️ Content Security Policy"]
        REACT["⚛️ React Security Patterns"]
        INPUT["✅ Input Validation"]
        THREE["🎨 Three.js Security Context"]
    end

    subgraph BROWSER["🖥️ Browser Security"]
        STORAGE["💾 Session-Only Storage"]
        PERMISSIONS["🔑 API Permissions"]
        SANDBOX["📦 Browser Sandbox"]
        CORS["🌐 CORS Policy"]
    end

    subgraph PIPELINE["🏗️ Build Security"]
        DEPS["📚 Dependency Scanning"]
        SLSA["🔏 SLSA Attestations"]
        SAST["🔍 Static Analysis"]
        SBOM["📋 Software Bill of Materials"]
    end

    subgraph MONITORING["📊 Security Monitoring"]
        PERFORMANCE["📈 Performance Monitoring"]
        ERRORS["🚨 Error Tracking"]
        INTEGRITY["🔍 Content Integrity"]
    end

    HTTPS --> CSP
    CDN --> REACT
    CSP --> STORAGE
    REACT --> PERMISSIONS

    SRI -.-> INTEGRITY
    INPUT -.-> ERRORS
    THREE -.-> PERFORMANCE

    DEPS -.-> SLSA
    SAST -.-> SBOM

    style PERIMETER fill:#ffcdd2,stroke:#d32f2f,stroke-width:2px
    style APPLICATION fill:#fff3e0,stroke:#ff9800,stroke-width:2px
    style BROWSER fill:#e8f5e9,stroke:#4caf50,stroke-width:2px
    style PIPELINE fill:#e3f2fd,stroke:#2196f3,stroke-width:2px
    style MONITORING fill:#f3e5f5,stroke:#9c27b0,stroke-width:2px

🎭 STRIDE → Control Mapping

STRIDE Category	Example Threat	Primary Control	Secondary Control	Monitoring
🎭 Spoofing	Asset substitution	SRI validation, HTTPS	Asset signing, CDN security	Content integrity monitoring
🔧 Tampering	DOM/state manipulation	React security patterns, CSP	Input validation, sanitization	DOM mutation monitoring
❌ Repudiation	Action denial	Session logs (client-side)	Error tracking, audit trails	Behavior analysis
📤 Information Disclosure	Data extraction	Session-only design, no data collection	Browser permissions, CORS	Privacy compliance monitoring
⚡ Denial of Service	Performance attacks	Resource limits, error boundaries	Performance monitoring	Performance budget alerts
⬆️ Elevation of Privilege	Browser sandbox escape	Browser security model, CSP	API permission controls	Privilege usage monitoring

🎯 Educational Gaming-Specific Threats

🇰🇷 Cultural Sensitivity Threat Analysis

Following cultural authenticity requirements from CRA Assessment:

🏛️ Cultural Misrepresentation Scenarios

Cultural Element	Threat	Impact	Mitigation	Validation
☯️ Trigram Philosophy	Misinterpretation of I Ching concepts	Loss of educational value, cultural offense	Expert consultation, academic review	Korean martial arts expert validation
🥋 Martial Arts Techniques	Inaccurate or dangerous technique representation	Injury risk, cultural appropriation	Traditional master review, safety warnings	Certified instructor verification
🎵 Traditional Music	Inappropriate use or modification	Copyright violation, cultural disrespect	Licensed content, cultural context	Music scholar review
📚 Korean Terminology	Incorrect translations or usage	Educational misinformation, disrespect	Native speaker validation, academic sources	Linguistic expert review
🏛️ Historical Context	Anachronistic or false historical claims	Misinformation, cultural insensitivity	Historical research, expert consultation	Academic historian validation

🎮 Educational Integrity Threats

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    }
  }
}%%
flowchart TD
    subgraph EDUCATIONAL_THREATS["🎓 Educational Integrity Threats"]
        MISINFORMATION["📚 Misinformation Injection"]
        CULTURAL_BIAS["🏛️ Cultural Bias Introduction"]
        TECHNIQUE_DANGER["⚠️ Dangerous Technique Promotion"]
        HISTORICAL_FALSIFICATION["📜 Historical Falsification"]
    end

    subgraph ATTACK_METHODS["⚔️ Attack Methods"]
        CONTENT_INJECTION["💉 Content Injection"]
        GRADUAL_CORRUPTION["🔄 Gradual Content Corruption"]
        SOCIAL_ENGINEERING["🎭 Social Engineering"]
        INSIDER_MODIFICATION["👤 Insider Content Modification"]
    end

    subgraph CULTURAL_IMPACTS["🇰🇷 Cultural Impacts"]
        STEREOTYPE_REINFORCEMENT["📺 Stereotype Reinforcement"]
        CULTURAL_APPROPRIATION["🎭 Cultural Appropriation"]
        DISRESPECTFUL_PORTRAYAL["😠 Disrespectful Portrayal"]
        EDUCATIONAL_HARM["🎓 Educational Harm"]
    end

    MISINFORMATION --> CONTENT_INJECTION
    CULTURAL_BIAS --> GRADUAL_CORRUPTION
    TECHNIQUE_DANGER --> SOCIAL_ENGINEERING
    HISTORICAL_FALSIFICATION --> INSIDER_MODIFICATION

    CONTENT_INJECTION --> STEREOTYPE_REINFORCEMENT
    GRADUAL_CORRUPTION --> CULTURAL_APPROPRIATION
    SOCIAL_ENGINEERING --> DISRESPECTFUL_PORTRAYAL
    INSIDER_MODIFICATION --> EDUCATIONAL_HARM

    style MISINFORMATION fill:#ffcdd2
    style CULTURAL_BIAS fill:#fff3e0
    style TECHNIQUE_DANGER fill:#e8f5e9
    style HISTORICAL_FALSIFICATION fill:#e3f2fd

🌐 Frontend-Specific Security Architecture

🖥️ Browser Security Model Integration

Following frontend-only architecture from Architecture:

📦 Asset Security Pipeline

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    }
  }
}%%
flowchart LR
    subgraph DEVELOPMENT["🔧 Development Phase"]
        CODE["💻 Source Code"]
        ASSETS["📦 Static Assets"]
        DEPS["📚 Dependencies"]
    end

    subgraph BUILD["🏗️ Build Phase"]
        SCAN["🔍 Security Scanning"]
        BUNDLE["📦 Asset Bundling"]
        HASH["🔐 Integrity Hashing"]
        SIGN["✍️ Asset Signing"]
    end

    subgraph DEPLOYMENT["🚀 Deployment Phase"]
        CDN_UPLOAD["📤 CDN Upload"]
        SRI_GEN["🔒 SRI Generation"]
        CSP_CONFIG["🛡️ CSP Configuration"]
    end

    subgraph RUNTIME["⚡ Runtime Phase"]
        BROWSER["🌐 Browser Load"]
        VALIDATE["✅ Integrity Check"]
        EXECUTE[▶️ Safe Execution]
    end

    CODE --> SCAN
    ASSETS --> BUNDLE
    DEPS --> HASH

    SCAN --> CDN_UPLOAD
    BUNDLE --> SRI_GEN
    HASH --> CSP_CONFIG
    SIGN --> CDN_UPLOAD

    CDN_UPLOAD --> BROWSER
    SRI_GEN --> VALIDATE
    CSP_CONFIG --> EXECUTE

    style DEVELOPMENT fill:#ffcdd2,stroke:#d32f2f,stroke-width:2px
    style BUILD fill:#fff3e0,stroke:#ff9800,stroke-width:2px
    style DEPLOYMENT fill:#e8f5e9,stroke:#4caf50,stroke-width:2px
    style RUNTIME fill:#e3f2fd,stroke:#2196f3,stroke-width:2px

🔒 Browser Security Controls

Security Layer	Control Implementation	Threat Coverage	Validation Method
🛡️ Content Security Policy	Restrictive CSP headers with nonce-based scripts	XSS, code injection, data exfiltration	CSP violation reporting
🔒 Subresource Integrity	SHA-384 hashes for all external assets	Asset tampering, CDN compromise	Browser integrity validation
🌐 HTTPS Enforcement	Strict Transport Security, secure contexts	MITM attacks, downgrade attacks	Certificate transparency monitoring
📦 Same-Origin Policy	Strict CORS configuration	Cross-origin attacks, data theft	CORS preflight validation
💾 Storage Security	Session-only data, no persistence	Data theft, privacy violations	Storage audit tools
🔑 API Permissions	Minimal browser API usage	Privilege escalation, fingerprinting	Permission monitoring

🔄 Continuous Validation & Assessment

🎪 Educational Gaming Threat Workshop

Following Hack23 AB Workshop Framework with gaming-specific adaptations:

🎯 Black Trigram-Specific Workshop Scope

🇰🇷 Cultural Sensitivity Assessment: Korean martial arts authenticity, respectful representation
🎓 Educational Value Protection: Learning objective preservation, misinformation prevention
🎮 Gaming Security Patterns: Frontend game security, WebGL safety, asset integrity
👥 User Safety Considerations: Age-appropriate content, physical safety warnings

👥 Gaming Platform Team Assembly

🥋 Korean Martial Arts Expert: Traditional technique validation, cultural authenticity
🎓 Educational Technology Specialist: Learning effectiveness, age-appropriate design
🛡️ Frontend Security Expert: Browser security, WebGL safety, client-side protection
🎨 Creative Content Manager: Asset integrity, cultural sensitivity, visual design
⚖️ Legal/Cultural Compliance Officer: Cultural representation, copyright, educational standards

📊 Gaming-Specific Analysis Framework

🇰🇷 Cultural Authenticity Assessment:

How might cultural misrepresentation damage educational value and community trust?
What validation processes ensure respectful and accurate Korean cultural representation?
How do we prevent cultural appropriation while maintaining educational accessibility?
What expert review processes validate traditional Korean martial arts content?

🎓 Educational Integrity Evaluation:

How could misinformation injection compromise the educational mission?
What safeguards prevent dangerous or inappropriate technique demonstration?
How do we maintain age-appropriate content while preserving martial arts authenticity?
What validation ensures accurate historical and philosophical context?

🎮 Gaming Platform Security Analysis:

How do we protect users from malicious content injection via game assets?
What browser security measures prevent exploitation through WebGL/Canvas?
How do we ensure asset integrity without compromising performance?
What monitoring detects unusual behavior or security anomalies?

📊 Educational Gaming Threat Catalog

🎓 Education-Specific Threat Documentation

Each educational threat entry includes cultural and learning impact assessment:

🔴 Critical Educational Threats

🇰🇷 Cultural Misrepresentation Attack

🎯 Educational Tactic: Cultural Authenticity Undermining
🔧 MITRE Technique: Data Manipulation (T1565)
🏛️ Educational Component: Korean martial arts cultural content and traditional knowledge
📝 Threat Description: Deliberate introduction of culturally inaccurate or offensive content to damage educational value and cultural respect
👥 Threat Agent: Cultural trolls, competitors, misguided contributors, politically motivated actors
🔐 Black Trigram at Risk: Integrity (cultural authenticity), Availability (community trust), Confidentiality (educational methodology)
🔑 Controls: Cultural expert validation, content review processes, community moderation
🎭 STRIDE Attribute: Tampering, Information Disclosure, Repudiation
🛡️ Security Measures: Expert consultation panels, cultural authenticity validation, version control for content changes
⚡ Priority: Critical
🏛️ Cultural Impact: Korean cultural disrespect, educational misinformation, community alienation
❓ Assessment Questions: Are cultural experts involved in content validation? Can cultural modifications be tracked and reversed? Are offensive content detection systems in place?

⚠️ Dangerous Technique Promotion

🎯 Educational Tactic: Physical Safety Undermining
🔧 MITRE Technique: Supply Chain Compromise (T1195)
🏛️ Educational Component: Martial arts technique demonstration and educational content
📝 Threat Description: Introduction of dangerous, modified, or inappropriate martial arts techniques that could cause physical harm to learners
👥 Threat Agent: Malicious contributors, inexperienced practitioners, liability-seeking actors
🔐 Black Trigram at Risk: Integrity (technique accuracy), Availability (platform liability), Confidentiality (safety protocols)
🔑 Controls: Master instructor validation, safety warning systems, technique review boards
🎭 STRIDE Attribute: Tampering, Spoofing, Elevation of Privilege
🛡️ Security Measures: Certified instructor review, safety disclaimer systems, technique modification tracking
⚡ Priority: Critical
🏛️ Safety Impact: Physical injury risk, liability exposure, educational credibility damage
❓ Assessment Questions: Are all techniques validated by certified instructors? Are safety warnings prominent and clear? Can dangerous content be quickly identified and removed?

📅 Educational Context Assessment Lifecycle

🎓 Educational Validation Schedule

Assessment Type	Educational Trigger	Frequency	Validation Scope	Community Transparency
🇰🇷 Cultural Content Review	New cultural content addition	Per content release	Korean authenticity and respect	Public cultural advisory board reports
🥋 Technique Safety Assessment	New martial arts content	Per technique addition	Physical safety and accuracy	Certified instructor validation logs
👥 Community Feedback Assessment	User reports or cultural concerns	Monthly/as needed	Content accuracy and sensitivity	Public feedback response documentation
📚 Educational Value Assessment	Learning objective changes	Per major release	Pedagogical effectiveness	Educational outcome reporting
🌐 Global Cultural Assessment	International expansion	Per new region	Regional cultural adaptation	Cultural sensitivity documentation

🏆 Educational Gaming Security Excellence

📈 Cultural Sensitivity Maturity Framework

Following Hack23 AB Maturity Levels with educational adaptations:

🟢 Level 1: Cultural Foundation

🇰🇷 Basic Cultural Respect: Core Korean content validated by native speakers
⚠️ Safety Awareness: Basic safety warnings and disclaimers
👥 Community Guidelines: Clear content standards and reporting mechanisms
📚 Educational Standards: Basic learning objectives documented
🛡️ Content Security: Basic protection against malicious content injection

🟡 Level 2: Cultural Process Integration

📅 Cultural Review Cycle: Regular cultural authenticity assessments
📝 Expert Consultation: Established relationships with Korean martial arts experts
🔧 Safety Validation Tools: Automated safety warning systems
🔄 Community Engagement: Active community feedback integration

🟠 Level 3: Cultural Excellence

🔍 Comprehensive Cultural STRIDE: Systematic threat assessment for all cultural content
⚖️ Cultural Risk Assessment: Impact on Korean cultural representation and educational value
🛡️ Cultural Protection Strategies: Comprehensive safeguards against cultural misrepresentation
🎓 Educational Security Integration: Learning objective protection embedded in security

🔴 Level 4: Advanced Cultural Intelligence

🌐 Proactive Cultural Monitoring: Real-time cultural sensitivity and authenticity validation
📊 Educational Effectiveness Tracking: Comprehensive learning outcome measurement
📈 Cultural Trust Metrics: Community confidence and cultural respect measurement
🔄 Expert Validation Networks: Global Korean martial arts expert collaboration

🟣 Level 5: Cultural Innovation Leadership

🔮 Predictive Cultural Protection: Anticipation of cultural sensitivity issues
🤖 AI-Enhanced Cultural Validation: Machine learning for cultural authenticity verification
📊 Global Cultural Intelligence: International cultural best practice collaboration
🔬 Educational Innovation: Advanced pedagogical security and effectiveness research

🌟 Educational Gaming Security Best Practices

🎓 Educational Platform Security Principles

🇰🇷 Cultural Authenticity by Design

🔍 Expert Validation: All Korean cultural content reviewed by certified experts
⚖️ Respectful Representation: Systematic prevention of cultural appropriation or misrepresentation
📊 Community Verification: Public feedback mechanisms for cultural accuracy
🛡️ Cultural Protection: Proactive safeguards against offensive or inaccurate content

👥 Educational Safety Security

🤝 Expert Consultation: Regular collaboration with Korean martial arts masters
📢 Transparent Validation: Public documentation of expert review processes
🔍 Open Source Methodology: Community access to educational validation methods
📈 Learning Effectiveness Measurement: Regular assessment of educational outcomes

🔄 Continuous Educational Improvement

⚡ Proactive Cultural Threat Detection: Early identification of cultural sensitivity issues
📊 Evidence-Based Educational Security: Data-driven educational content decisions
🤝 International Cultural Cooperation: Collaboration with global Korean cultural organizations
💡 Innovation in Educational Security: Leading development of culturally sensitive educational platforms

📈 AI-Enabled Threat Evolution

🤖 AI Model Evolution — Threat Landscape Perspective (2026–2037)

Following Hack23 AB Threat Modeling Policy — AI-Enabled Threats, this section addresses the evolving AI threat landscape relevant to Black Trigram's frontend-only educational gaming platform.

🔴 Near-Term AI Threats (2026–2028)

AI Threat Vector	Black Trigram Impact	Likelihood	Severity	Mitigation
AI-generated phishing targeting game communities	Social engineering against contributors and players via Discord/GitHub	Medium	Medium	Contributor verification processes, signed commits, community awareness training
AI-powered automated vulnerability scanning against CDN	Automated reconnaissance and exploitation of CDN-hosted static assets	Medium	Low	CDN WAF rules, rate limiting, CloudFront Shield Standard, SRI integrity validation
Deepfake content injection into game assets	Manipulated Korean cultural content (images, audio, 3D models) injected via supply chain	Low	High	Asset integrity hashes (SRI SHA-384), SBOM for all assets, manual cultural review gates
AI-assisted social engineering targeting contributors	AI-crafted PRs with subtle malicious code, convincing impersonation of maintainers	Medium	High	Branch protection, mandatory code review, CODEOWNERS enforcement, GPG-signed commits

🟡 Mid-Term AI Threats (2028–2032)

AI Threat Vector	Black Trigram Impact	Likelihood	Severity	Mitigation Strategy
AI-generated zero-day exploit chains	Automated discovery of browser/WebGL exploit chains targeting game rendering	Low	High	Browser sandbox reliance, CSP strict-dynamic, regular dependency updates
LLM-poisoned dependency packages	AI-crafted malicious npm packages mimicking legitimate game libraries	Medium	High	Lockfile pinning, dependency scanning (Dependabot, Socket.dev), SLSA provenance verification
AI-driven cultural manipulation	Automated generation of culturally offensive Korean content to damage reputation	Low	Critical	Expert review pipeline, community reporting, automated content similarity checks
Automated CI/CD pipeline compromise	AI agents targeting GitHub Actions workflows with crafted inputs	Low	Medium	Workflow permissions minimization, pinned action SHAs, OpenSSF Scorecard monitoring

🟠 Long-Term AI Threats (2032–2037)

AI Threat Vector	Black Trigram Impact	Likelihood	Severity	Preparedness
Autonomous attack agents	Self-directed AI systems that identify, exploit, and persist in browser environments	Low	Critical	Defense-in-depth architecture, zero-trust browser model, minimal attack surface
AI-generated counterfeit game clones	Complete AI replication of Black Trigram with malware injection	Low	High	Open source licensing enforcement, brand protection, community verification
Quantum-assisted cryptographic attacks	Breaking SRI hashes and TLS in transit	Very Low	Critical	Monitor NIST PQC standards, prepare migration to quantum-safe algorithms

🛡️ AI Threat Countermeasures for Educational Gaming

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flowchart TD
    A["🤖 AI Threat Detection"] --> B{Threat Category}
    B -->|Content Manipulation| C[Cultural Review Gate]
    B -->|Supply Chain| D[SBOM + SRI Validation]
    B -->|Social Engineering| E[Contributor Verification]
    B -->|Automated Exploitation| F[CDN WAF + CSP]
    C --> G[Expert Korean Cultural Validation]
    D --> H[SLSA Provenance + Lockfile Audit]
    E --> I[Signed Commits + Code Review]
    F --> J[Rate Limiting + Shield Standard]
    G --> K["✅ Safe to Deploy"]
    H --> K
    I --> K
    J --> K

Key Principle: Black Trigram's frontend-only, stateless architecture inherently limits the AI threat surface — no backend APIs, no user databases, no authentication systems to compromise. AI threats primarily target the supply chain and cultural content integrity.

🎯 Threat Modeling Maturity Assessment

📊 Threat Modeling Maturity Levels

Following Hack23 AB Threat Modeling Policy — Maturity Framework, this section tracks Black Trigram's progressive implementation of threat modeling practices.

Maturity Level	Name	Description	Black Trigram Status	Evidence
Level 1	Ad-hoc	Threat modeling performed reactively, no documented process	✅ Completed	Initial project setup phase (pre-v0.1)
Level 2	Repeatable	Basic threat modeling with documented outcomes, applied to major changes	✅ Completed	STRIDE analysis in early THREAT_MODEL.md versions, security reviews on PRs
Level 3	Defined	Comprehensive threat model documented with multiple frameworks (STRIDE, MITRE ATT&CK), integrated into SDLC	✅ Current State	This document (v2.0), CI/CD security gates, SBOM generation, CodeQL scanning
Level 4	Managed	Metrics-driven threat assessment, automated threat detection, quantitative risk measurement	🎯 Target (2026)	Planned: automated DAST in CI, threat metrics dashboard, risk score tracking
Level 5	Optimizing	Continuous threat intelligence integration, predictive threat analysis, AI-assisted threat modeling	🔮 Future (2027+)	Planned: threat intelligence feeds, automated threat model updates, ML-based anomaly detection

📈 Maturity Progression Roadmap

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graph LR
    L1["Level 1<br/>Ad-hoc<br/>✅ Done"] --> L2["Level 2<br/>Repeatable<br/>✅ Done"]
    L2 --> L3["Level 3<br/>Defined<br/>✅ Current"]
    L3 --> L4["Level 4<br/>Managed<br/>🎯 2026"]
    L4 --> L5["Level 5<br/>Optimizing<br/>🔮 2027+"]
    style L1 fill:#4CAF50,color:#fff
    style L2 fill:#4CAF50,color:#fff
    style L3 fill:#2196F3,color:#fff
    style L4 fill:#FF9800,color:#fff
    style L5 fill:#9C27B0,color:#fff

🎯 Level 3 → Level 4 Gap Analysis

Capability	Level 3 (Current)	Level 4 (Target)	Gap	Action Plan
Threat identification	Manual STRIDE + MITRE ATT&CK analysis	Automated threat surface scanning	Automation gap	Integrate OWASP ZAP into CI for CDN-deployed previews
Risk quantification	Qualitative risk heat matrix	Quantitative risk scores with metrics	Metrics gap	Define KRIs (Key Risk Indicators) for supply chain and content integrity
Threat intelligence	Annual ENISA TL review	Continuous threat feed integration	Timeliness gap	Subscribe to GitHub Advisory Database API, automate CVE correlation
Validation cadence	Quarterly review cycle	Continuous automated validation	Frequency gap	Implement nightly dependency audit, weekly SBOM diff checks
Cultural threat monitoring	Expert review gates	Automated cultural content scanning	Automation gap	Develop Korean cultural content validation heuristics

🎪 Threat Modeling Workshop Framework

📋 Pre-Workshop Preparation

Following Hack23 AB Threat Modeling Policy — Workshop Framework, Black Trigram conducts structured threat modeling workshops tailored to the educational gaming context.

📝 Pre-Workshop Checklist

#	Preparation Item	Owner	Status
1	Review current THREAT_MODEL.md and identify areas needing update	Security Lead	☐ Before each workshop
2	Gather latest ENISA Threat Landscape and GitHub Advisory DB updates	Security Lead	☐ Before each workshop
3	Collect CDN access logs and CSP violation reports from the past quarter	DevOps Lead	☐ Before each workshop
4	Review all dependency updates and SBOM changes since last workshop	Development Lead	☐ Before each workshop
5	Prepare updated architecture diagrams (ARCHITECTURE.md, DATA_MODEL.md)	Architecture Lead	☐ Before each workshop
6	Identify new Korean cultural content additions requiring threat review	Cultural Expert	☐ Before each workshop
7	Review open GitHub Security Advisories and Dependabot alerts	Security Lead	☐ Before each workshop
8	Prepare MITRE ATT&CK navigator layer with current coverage	Security Lead	☐ Before each workshop

👥 Workshop Participants

Role	Responsibility	Required
Security Lead	Facilitates STRIDE analysis, maintains threat model	✅ Required
Development Lead	Provides implementation context, identifies new attack surfaces	✅ Required
Korean Cultural Expert	Validates cultural threat scenarios, reviews content integrity	✅ Required
DevOps/CI Lead	Reviews supply chain and deployment pipeline threats	✅ Required
Community Representative	Provides player perspective on social engineering threats	Recommended

📅 Workshop Agenda — Educational Gaming Threat Review

Time	Activity	Duration	Output
09:00	🎯 Opening: Review previous threat model, metrics, and action items	30 min	Status dashboard update
09:30	🌐 Threat landscape update: ENISA TL, AI threats, gaming-specific trends	30 min	Updated threat landscape section
10:00	🏗️ Architecture review: New components, data flows, trust boundaries	45 min	Updated architecture-centric analysis
10:45	☕ Break	15 min	—
11:00	🎭 STRIDE per element: Walk through each frontend component	60 min	Updated STRIDE analysis table
12:00	🍽️ Lunch	60 min	—
13:00	🇰🇷 Cultural threat deep-dive: Korean content integrity, deepfake risks	45 min	Updated cultural threat catalog
13:45	🔗 Supply chain analysis: Dependency review, SBOM changes, npm risks	45 min	Updated kill chain analysis
14:30	☕ Break	15 min	—
14:45	🎖️ MITRE ATT&CK mapping update: New techniques, coverage gaps	45 min	Updated ATT&CK navigator layer
15:30	⚖️ Risk scoring: Re-assess risk heat matrix, update priorities	30 min	Updated risk heat matrix
16:00	📋 Action items: Assign mitigations, set deadlines, update maturity level	30 min	Action item register
16:30	✅ Close: Summarize findings, confirm next workshop date	15 min	Workshop summary report

📤 Post-Workshop Action Items

#	Action	Owner	Deadline	Tracking
1	Update THREAT_MODEL.md with all workshop findings	Security Lead	1 week post-workshop	GitHub PR
2	File GitHub issues for new mitigations identified	Development Lead	1 week post-workshop	GitHub Issues
3	Update MITRE ATT&CK navigator layer export	Security Lead	2 weeks post-workshop	Repository commit
4	Validate cultural content changes flagged in workshop	Cultural Expert	2 weeks post-workshop	Review gate sign-off
5	Update risk heat matrix and risk register	Security Lead	2 weeks post-workshop	Risk Register update
6	Implement priority security controls from gap analysis	Development Lead	Next sprint	Sprint tracking
7	Schedule follow-up review for critical findings	Security Lead	1 month post-workshop	Calendar invite
8	Publish workshop summary to team (sanitized for public)	Security Lead	1 week post-workshop	Team communication

📊 Workshop Effectiveness Metrics

Metric	Target	Measurement
Threats identified per workshop	≥ 5 new or updated threats	Count of threat model changes
Action item completion rate	≥ 90% within deadline	Issue tracking completion
Time to mitigation	≤ 30 days for High/Critical	Days from identification to control implementation
Participant coverage	All required roles present	Attendance record
Maturity progression	Advance 1 sub-level per year	Maturity assessment score

📋 ISMS Compliance Framework Mapping

Following Hack23 AB Threat Modeling Policy §2.1 classification-driven approach, this threat model maps to three compliance frameworks:

ISO 27001:2022 Control Alignment

ISO 27001 Control	Threat Model Coverage	Implementation Status	Evidence
A.5.1 - Policies for information security	Overall threat modeling methodology	✅ Implemented	This document, ISMS policy references
A.8.1 - User endpoint devices	Browser security controls, WebGL safety	✅ Implemented	CSP, SRI, browser sandbox controls
A.8.4 - Access to source code	Supply chain threats, code injection	✅ Implemented	Branch protection, code review, SLSA
A.8.6 - Capacity management	DoS threats, resource exhaustion	✅ Implemented	Performance monitoring, resource limits
A.8.11 - Data masking	Information disclosure prevention	✅ Implemented	Session-only design, no data collection
A.8.16 - Monitoring activities	Security event detection	✅ Implemented	CDN logs, CSP violation reporting, error tracking
A.8.23 - Web filtering	Malicious content prevention	✅ Implemented	CSP headers, input validation, content review
A.8.24 - Use of cryptography	Asset integrity, transport security	✅ Implemented	HTTPS, SRI (SHA-384), TLS 1.3
A.8.25 - Secure development lifecycle	Supply chain, code injection	✅ Implemented	SBOM, dependency scanning, SAST, code review
A.8.27 - Secure system architecture	Defense in depth, trust boundaries	✅ Implemented	Frontend-only design, CSP layers, SRI validation
A.8.28 - Secure coding	XSS, injection attacks, tampering	✅ Implemented	React security patterns, input validation

NIST CSF 2.0 Framework Alignment

NIST CSF Function	Category	Black Trigram Implementation	Evidence
GOVERN (GV)	GV.OC - Organizational Context	Threat model documents risk appetite for educational gaming	This document, risk matrix
GOVERN (GV)	GV.RM - Risk Management Strategy	STRIDE and MITRE ATT&CK risk identification	Threat scenarios, risk heat matrix
IDENTIFY (ID)	ID.AM - Asset Management	Critical assets and crown jewels identified and classified	Asset-centric analysis section
IDENTIFY (ID)	ID.RA - Risk Assessment	Risk heat matrix with likelihood/impact ratings	Priority threat scenarios, quantitative assessment
PROTECT (PR)	PR.DS - Data Security	Session-only design, no PII collection	Frontend architecture, CSP controls
PROTECT (PR)	PR.IP - Information Protection	Secure development, SRI, CSP, dependency scanning	Build security pipeline, SLSA attestations
PROTECT (PR)	PR.PT - Platform Security	Browser security model, CDN protection	Content Security Policy, HTTPS enforcement
DETECT (DE)	DE.AE - Anomalies and Events	CSP violation detection, performance anomaly monitoring	Error tracking, CDN monitoring
DETECT (DE)	DE.CM - Continuous Monitoring	Dependency vulnerability scanning, integrity validation	Dependabot, SRI checks, SAST
RESPOND (RS)	RS.MA - Management	Incident response for content integrity and supply chain	Security policy, vulnerability reporting
RECOVER (RC)	RC.RP - Recovery Planning	CDN-based recovery, session-only design simplifies recovery	Architecture design, CDN multi-region

CIS Controls v8.1 Alignment

CIS Control	Black Trigram Implementation	Evidence
2 - Inventory and Control of Software Assets	SBOM for all dependencies, automated scanning	Package-lock.json, dependency scanning
3 - Data Protection	HTTPS enforcement, SRI for asset integrity	TLS 1.3, SHA-384 integrity hashes
4 - Secure Configuration	Hardened CSP, security headers, strict CORS	index.html security headers, CDN config
6 - Access Control Management	Branch protection, code review requirements	GitHub repository settings, CODEOWNERS
7 - Continuous Vulnerability Management	Dependabot, CodeQL, dependency scanning	GitHub Security tab, CI/CD pipeline
8 - Audit Log Management	CDN access logs, CSP violation reports	CloudFront logs, browser reporting
14 - Security Awareness and Training	Secure coding guidelines, threat model documentation	This document, CONTRIBUTING.md
16 - Application Software Security	Input validation, React security patterns, CSP	SAST results, E2E security tests

📚 Related Documents

🔐 ISMS Threat Modeling & Risk Management

🎯 Threat Modeling Policy - STRIDE methodology and standards
📉 Risk Assessment Methodology - Risk quantification framework
📊 Risk Register - Enterprise risk tracking
🏷️ Classification Framework - Business impact analysis

🔐 ISMS Security Policies

🔐 Information Security Policy - Overall security governance
🛠️ Secure Development Policy - Security-integrated SDLC
🔍 Vulnerability Management - Security testing procedures
🚨 Incident Response Plan - Security incident handling
🔓 Open Source Policy - Open source governance

🛡️ Black Trigram Security Documentation

🛡️ Security Architecture - Current security implementation
🔮 Future Security Architecture - Planned security enhancements
📋 CRA Assessment - EU Cyber Resilience Act compliance
🔒 Security Policy - Vulnerability reporting
🗺️ ISMS Reference Mapping - Complete ISMS policy mapping

🔄 Development & Operations

🔄 Workflows - Security-hardened CI/CD pipelines
🔧 Development Guide - Security features and testing
📐 Architecture - Overall system design

📋 Document Control:
✅ Approved by: James Pether Sörling, CEO
📤 Distribution: Public
🏷️ Classification:
📅 Effective Date: 2026-04-21
⏰ Next Review: 2027-04-21
🎯 Framework Compliance:

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