FUTURE_THREAT_MODEL.md
May 24, 2026 ยท View on GitHub
๐ฏ Black Trigram (ํ๊ด) โ Future Threat Model
๐ก๏ธ AWS Serverless Backend Security Through Structured Threat Analysis
๐ STRIDE โข MITRE ATT&CK โข Cloud Security โข AWS Serverless โข Payment Security
๐ Document Owner: CEO | ๐ Version: 1.1 | ๐
Last Updated: 2026-03-19 (UTC)
๐ Review Cycle: Semi-Annual | โฐ Next Review: 2026-09-19
๐ท๏ธ Classification: Public (Open Source Educational Gaming Platform)
๐ฏ Purpose & Scope
Establish a comprehensive threat model for Black Trigram's future AWS serverless backend architecture. This systematic threat analysis integrates STRIDE methodology and MITRE ATT&CK framework to ensure proactive security through structured analysis of cloud-based authentication, API, database, storage, and payment processing systems.
๐ Transparency Commitment
This future threat model demonstrates ๐ก๏ธ cybersecurity consulting expertise through public documentation of advanced cloud security threat assessment methodologies, showcasing our ๐ competitive advantage via systematic risk management for AWS serverless architectures and ๐ค customer trust through transparent security practices.
โ Based on Hack23 AB's commitment to security through transparency and excellence
๐ Framework Integration
- ๐ญ STRIDE per architecture element: Systematic threat categorization for AWS backend components
- ๐๏ธ MITRE ATT&CK Cloud Matrix: Cloud-specific attack technique mapping
- ๐๏ธ Asset-centric analysis: User data, game state, and payment information protection
- ๐ฏ Scenario-centric modeling: Real-world cloud gaming platform attack simulation
- โ๏ธ Risk-centric assessment: Business impact on cloud infrastructure and user trust
๐ Scope Definition
Included Systems:
- ๐ AWS Cognito authentication (User Pools, Identity Pools, Social Login)
- ๐ช API Gateway (REST + WebSocket endpoints)
- โก AWS Lambda serverless functions
- ๐ DynamoDB tables (player data, game states, achievements)
- ๐ฆ S3 buckets (save games, replays, user-generated content)
- ๐ณ Stripe payment integration (PCI DSS compliance)
- โ๏ธ CloudFront CDN + AWS WAF
- ๐ AWS Backup and disaster recovery
- ๐ OAuth 2.0 social login providers (Google, Facebook, Discord, GitHub, Twitter/X, Apple)
Out of Scope:
- Frontend client-side threats (covered in THREAT_MODEL.md)
- Static asset delivery security (covered in current threat model)
- End-user device security beyond authentication
- Third-party CDN infrastructure (external dependency)
๐ Policy Alignment
Integrated with:
- ๐ฏ Hack23 AB Threat Modeling Policy - STRIDE methodology
- ๐ ๏ธ Secure Development Policy - Security architecture requirements
- ๐ Cryptography Policy - Encryption standards
- ๐ Network Security Policy - VPC and WAF configuration
- ๐ Access Control Policy - IAM and RBAC
Cross-References:
- ๐๏ธ FUTURE_ARCHITECTURE.md - AWS backend architecture design
- ๐ก๏ธ FUTURE_SECURITY_ARCHITECTURE.md - Security controls implementation
- ๐ THREAT_MODEL.md - Current frontend-only threat model
๐ System Classification & Operating Profile
๐ท๏ธ Security Classification Matrix
โ๏ธ Regulatory & Compliance Profile
| Compliance Area | Classification | Implementation Status |
|---|---|---|
| ๐ Regulatory Exposure | High | Personal data collection, payment processing |
| ๐ณ PCI DSS | Required | Stripe handles card data, webhook security critical |
| ๐ช๐บ GDPR | Required | EU user data protection, right to deletion |
| ๐ช๐บ CRA (EU Cyber Resilience Act) | Standard classification | Cloud-based commercial software |
| ๐ RPO / RTO | RPO: 1 hour / RTO: 4 hours | Multi-region backup, automated recovery |
๐ Critical Assets & Protection Goals
๐๏ธ Asset-Centric Threat Analysis
Following Hack23 AB Asset-Centric Threat Modeling methodology:
๐ Crown Jewel Analysis
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flowchart TB
subgraph CROWN_JEWELS["๐ Crown Jewels"]
USER_AUTH["๐ User Authentication<br/>AWS Cognito Identity"]
PLAYER_DATA["๐ Player Data<br/>Progress & Achievements"]
PAYMENT_PROC["๐ณ Payment Processing<br/>Transaction Integrity"]
GAME_STATE["๐ฎ Game State<br/>Save Data & Replays"]
end
subgraph ATTACK_VECTORS["โ๏ธ Primary Attack Vectors"]
AUTH_BYPASS["๐ Authentication Bypass"]
DATA_BREACH["๐ Data Breach"]
PAYMENT_FRAUD["๐ธ Payment Fraud"]
API_ABUSE["๐ช API Abuse"]
CREDENTIAL_THEFT["๐ Credential Theft"]
SERVERLESS_EXPLOIT["โก Serverless Exploitation"]
end
subgraph THREAT_AGENTS["๐ฅ Key Threat Agents"]
HACKERS["๐ฏ Cybercriminals<br/>Monetization via Fraud"]
NATION_STATE["๐๏ธ Nation-State Actors<br/>Data Exfiltration"]
INSIDER_THREAT["๐ค Malicious Insiders<br/>AWS Access Abuse"]
SCRIPT_KIDDIES["๐ Script Kiddies<br/>API Exploitation"]
COMPETITORS["๐ข Competitors<br/>Service Disruption"]
end
AUTH_BYPASS --> USER_AUTH
CREDENTIAL_THEFT --> USER_AUTH
DATA_BREACH --> PLAYER_DATA
PAYMENT_FRAUD --> PAYMENT_PROC
API_ABUSE --> GAME_STATE
SERVERLESS_EXPLOIT --> PLAYER_DATA
HACKERS --> PAYMENT_FRAUD
NATION_STATE --> DATA_BREACH
INSIDER_THREAT --> AUTH_BYPASS
SCRIPT_KIDDIES --> API_ABUSE
COMPETITORS --> API_ABUSE
style CROWN_JEWELS fill:#e8f5e9,stroke:#4caf50,stroke-width:3px
style ATTACK_VECTORS fill:#ffcdd2,stroke:#f44336,stroke-width:3px
style THREAT_AGENTS fill:#fff3e0,stroke:#ff9800,stroke-width:3px
๐๏ธ AWS Backend Architecture Context
Backend System Architecture
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flowchart TD
A["๐ค Player"] -->|HTTPS| B["โ๏ธ CloudFront + WAF"]
B --> C["โ๏ธ React Frontend"]
C -->|OAuth 2.0<br/>Authorization Code + PKCE| D["๐ AWS Cognito"]
D -->|JWT Tokens<br/>ID, Access, Refresh| E["๐ช API Gateway + WAF"]
E -->|Validated JWT| F["โก Lambda Functions"]
F --> G["๐ DynamoDB<br/>Player Data"]
F --> H["๐ฆ S3<br/>Save Games"]
C -->|Stripe.js<br/>Tokenized Payment| I["๐ณ Stripe"]
I -->|Webhook<br/>HMAC-SHA256| F
J["๐ Social Providers<br/>Google, Facebook, Discord<br/>GitHub, Twitter/X, Apple"] -->|OAuth 2.0| D
K["โ๏ธ AWS Security Services"] --> L["๐ก๏ธ GuardDuty"]
K --> M["๐ Security Hub"]
K --> N["๐ CloudTrail"]
K --> O["๐ CloudWatch"]
style D fill:#ff6f00,stroke:#e65100,color:white,stroke-width:3px
style E fill:#9c27b0,stroke:#6a1b9a,color:white,stroke-width:3px
style F fill:#00c853,stroke:#007e33,color:white,stroke-width:3px
style G fill:#00c853,stroke:#007e33,color:white,stroke-width:3px
style I fill:#ff5722,stroke:#d84315,color:white,stroke-width:3px
๐ Trust Boundaries & Attack Surface
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graph TB
subgraph TRUST_BOUNDARY_1["๐ Internet Trust Boundary"]
PLAYER["๐ค Player"]
ATTACKER["๐ฏ Attacker"]
end
subgraph TRUST_BOUNDARY_2["โ๏ธ CDN Trust Boundary"]
CLOUDFRONT["โ๏ธ CloudFront"]
WAF_CDN["๐ก๏ธ WAF - CDN Layer"]
end
subgraph TRUST_BOUNDARY_3["๐ Authentication Trust Boundary"]
COGNITO["๐ AWS Cognito"]
SOCIAL_PROVIDERS["๐ Social Login Providers"]
IDENTITY_POOL["๐ Identity Pool"]
end
subgraph TRUST_BOUNDARY_4["๐ช API Trust Boundary"]
API_GATEWAY["๐ช API Gateway"]
WAF_API["๐ก๏ธ WAF - API Layer"]
AUTHORIZER["๐ JWT Authorizer"]
end
subgraph TRUST_BOUNDARY_5["โก Compute Trust Boundary - VPC"]
LAMBDA["โก Lambda Functions"]
VPC["๐ VPC Private Subnets"]
SECURITY_GROUPS["๐ก๏ธ Security Groups"]
end
subgraph TRUST_BOUNDARY_6["๐ Data Trust Boundary"]
DYNAMODB["๐ DynamoDB"]
S3["๐ฆ S3"]
KMS["๐ AWS KMS"]
end
subgraph TRUST_BOUNDARY_7["๐ณ Payment Trust Boundary"]
STRIPE["๐ณ Stripe"]
WEBHOOK["โก Webhook Handler"]
end
PLAYER -->|T1: Malicious Request| CLOUDFRONT
ATTACKER -->|T2: API Flooding| API_GATEWAY
CLOUDFRONT -->|T3: JWT Theft| COGNITO
SOCIAL_PROVIDERS -->|T4: OAuth Compromise| COGNITO
API_GATEWAY -->|T5: NoSQL Injection| LAMBDA
LAMBDA -->|T6: Data Exfiltration| DYNAMODB
LAMBDA -->|T7: Unauthorized Access| S3
STRIPE -->|T8: Webhook Forgery| WEBHOOK
ATTACKER -->|T9: Credential Stuffing| COGNITO
LAMBDA -->|T10: Privilege Escalation| VPC
DYNAMODB -->|T11: Data Tampering| KMS
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style TRUST_BOUNDARY_3 fill:#fff3e0,stroke:#ff9800,stroke-width:3px,stroke-dasharray: 5 5
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style TRUST_BOUNDARY_5 fill:#e8f5e9,stroke:#4caf50,stroke-width:3px,stroke-dasharray: 5 5
style TRUST_BOUNDARY_6 fill:#e0f2f1,stroke:#00897b,stroke-width:3px,stroke-dasharray: 5 5
style TRUST_BOUNDARY_7 fill:#fce4ec,stroke:#c2185b,stroke-width:3px,stroke-dasharray: 5 5
๐ญ STRIDE Threat Analysis by Component
๐ AWS Cognito Authentication System
| Threat Category | Threat Description | Attack Vector | Severity | Likelihood | Mitigation | MITRE ATT&CK |
|---|---|---|---|---|---|---|
| Spoofing | Attacker impersonates legitimate user | Stolen JWT tokens, session hijacking, replay attacks | Critical | Medium | Short-lived tokens (1hr), MFA required, refresh token rotation, Cognito security headers | T1078 - Valid Accounts |
| Spoofing | Social login account takeover | Compromised social provider account linked to game account | High | Medium | Email verification, account linking security, MFA enforcement | T1078.004 - Cloud Accounts |
| Tampering | JWT token manipulation | Modified claims, expired token reuse, signature bypass | High | Low | JWT signature verification with Cognito JWKS, token expiration checks, claims validation | T1550.001 - Application Access Token |
| Repudiation | User denies authentication action | No audit trail for login/logout events | Medium | Medium | CloudTrail logging, Cognito event logs with user context, immutable audit trail | T1562.008 - Disable Cloud Logs |
| Information Disclosure | Leaked user credentials | Phishing, credential stuffing, password spray attacks | Critical | High | Password policies (12+ chars, complexity), breach detection, MFA, rate limiting | T1110 - Brute Force |
| Information Disclosure | OAuth token leakage | Authorization code interception, redirect URI manipulation | High | Medium | PKCE (Proof Key for Code Exchange), state parameter validation, redirect URI whitelist | T1528 - Steal Application Access Token |
| Denial of Service | Authentication flood | Brute force login attempts, account enumeration | Medium | High | Rate limiting (10 attempts/5min), account lockout policies, CAPTCHA integration | T1498 - Network Denial of Service |
| Elevation of Privilege | Unauthorized admin access | Compromised admin account, privilege escalation via token manipulation | Critical | Low | Separate admin user pool, MFA required, admin action logging, least privilege | T1548 - Abuse Elevation Control Mechanism |
Security Controls:
- โ MFA optional (required for admin accounts)
- โ Password policy: 12+ characters, uppercase, lowercase, numbers, symbols
- โ Token lifetime: Access (1hr), ID (1hr), Refresh (30 days with rotation)
- โ Account recovery: Email-based with verification code
- โ Custom attributes: Player archetype, Korean martial arts rank
- โ CloudTrail integration: All authentication events logged
๐ช API Gateway Security (REST + WebSocket)
| Threat Category | Threat Description | Attack Vector | Severity | Likelihood | Mitigation | MITRE ATT&CK |
|---|---|---|---|---|---|---|
| Spoofing | Unauthorized API access | Missing authentication, forged JWT tokens | Critical | Medium | JWT validation on every endpoint, Cognito authorizer, API keys for third-party | T1190 - Exploit Public-Facing Application |
| Spoofing | WebSocket connection hijacking | Stolen connection token, session fixation | High | Medium | JWT authentication via Sec-WebSocket-Protocol, connection timeout (30min) | T1557 - Man-in-the-Middle |
| Tampering | Request payload manipulation | Modified JSON, SQL injection, NoSQL injection, command injection | High | High | Input validation with JSON schema, parameterized queries, escape user input, content-type enforcement | T1565.002 - Transmitted Data Manipulation |
| Tampering | WebSocket message injection | Malicious combat input, state manipulation | High | Medium | Message signature verification, sequence ID validation, server-side state authority | T1565.001 - Stored Data Manipulation |
| Repudiation | API abuse denial | No request logging, missing transaction audit | Medium | Medium | CloudWatch Logs with X-Ray tracing, request ID tracking, immutable logs | T1070.002 - Clear Linux or Mac System Logs |
| Information Disclosure | Sensitive data leakage | Verbose error messages, stack traces, internal paths | High | High | Generic error responses, data masking, sanitized error messages, no stack traces in production | T1530 - Data from Cloud Storage Object |
| Information Disclosure | API endpoint enumeration | Unprotected endpoint discovery, swagger/openapi exposure | Medium | High | Disable public API docs, rate limiting on OPTIONS, authentication on all endpoints | T1046 - Network Service Discovery |
| Denial of Service | API flooding | DDoS attacks, rate limit bypass, resource exhaustion | High | High | WAF rate limiting (100 req/min per user), throttling (10k req/s), auto-scaling, burst capacity (200) | T1499 - Endpoint Denial of Service |
| Denial of Service | WebSocket connection exhaustion | Connection flood, ping flooding | Medium | Medium | Connection limits per user (5 concurrent), idle timeout (5min), CloudFront protection | T1499.002 - Service Exhaustion Flood |
| Elevation of Privilege | Broken access control | Unauthorized endpoint access, IDOR (Insecure Direct Object Reference) | Critical | Medium | IAM authorization, resource policies, user ID validation in Lambda, row-level security | T1068 - Exploitation for Privilege Escalation |
Security Controls:
- โ JWT validation: Cognito authorizer with JWKS verification
- โ Rate limiting: 100 requests/minute per user (burst: 200)
- โ Request validation: JSON schema validation for all POST/PUT
- โ CORS: Configured for blacktrigram.com and *.blacktrigram.com
- โ API keys: Required for third-party integrations
- โ Usage plans: Free tier (1000 req/day), Premium tier (unlimited)
- โ CloudWatch Logs: Enabled with X-Ray distributed tracing
โก AWS Lambda Function Security
| Threat Category | Threat Description | Attack Vector | Severity | Likelihood | Mitigation | MITRE ATT&CK |
|---|---|---|---|---|---|---|
| Spoofing | Lambda function impersonation | Stolen IAM credentials, assume role abuse | High | Low | Least privilege IAM roles, temporary credentials (15min), role session tagging | T1078.004 - Cloud Accounts |
| Tampering | Code injection | Unsanitized inputs, command injection, path traversal | Critical | Medium | Input validation, parameterized queries, escape user input, no eval(), content validation | T1059.006 - Python |
| Tampering | Lambda layer poisoning | Compromised dependency layer, malicious code injection | High | Low | Layer integrity verification, SHA-256 checksums, signed layers, SBOM validation | T1195.001 - Compromise Software Dependencies |
| Repudiation | Function execution denial | No execution logging, missing audit trail | Medium | Medium | CloudWatch Logs with structured logging, X-Ray distributed tracing, execution context | T1070.002 - Clear Linux or Mac System Logs |
| Information Disclosure | Environment variable leakage | Hardcoded secrets, exposed credentials in logs | Critical | Medium | AWS Secrets Manager, KMS encryption for environment variables, no secrets in code | T1552.001 - Credentials In Files |
| Information Disclosure | Data exfiltration via Lambda | Unauthorized data access, exfiltration to external endpoints | High | Medium | VPC isolation (no internet gateway), VPC endpoints only, outbound traffic monitoring | T1567 - Exfiltration Over Web Service |
| Denial of Service | Function timeout/exhaustion | Infinite loops, resource exhaustion, memory leaks | Medium | Medium | Timeout limits (30s), memory limits (512MB-1GB), concurrency limits, reserved capacity | T1499 - Endpoint Denial of Service |
| Denial of Service | Lambda cold start amplification | Forced cold starts, concurrent invocation flood | Low | Medium | Provisioned concurrency, connection pooling, Lambda warming strategies | T1498 - Network Denial of Service |
| Elevation of Privilege | Overprivileged function | Excessive IAM permissions, cross-account access | High | Medium | Least privilege (one role per function), IAM Access Analyzer, resource-based policies only | T1098 - Account Manipulation |
Security Controls:
- โ IAM roles: Least privilege, one role per function
- โ VPC isolation: Private subnets, no internet gateway
- โ Environment encryption: KMS for environment variables
- โ Secrets management: AWS Secrets Manager for API keys
- โ Timeout: 30 seconds maximum
- โ Memory: 512MB-1GB based on function needs
- โ Concurrency: Reserved capacity and limits per function
- โ X-Ray tracing: Enabled for all functions
๐ DynamoDB Security
| Threat Category | Threat Description | Attack Vector | Severity | Likelihood | Mitigation | MITRE ATT&CK |
|---|---|---|---|---|---|---|
| Spoofing | Unauthorized table access | Stolen AWS credentials, IAM policy bypass | Critical | Low | IAM policies with least privilege, VPC endpoints, encryption in transit (TLS 1.3) | T1078.004 - Cloud Accounts |
| Tampering | Data modification | NoSQL injection, unauthorized writes, item manipulation | High | Medium | Input validation, IAM write restrictions, condition expressions, attribute-level permissions | T1565.001 - Stored Data Manipulation |
| Tampering | Cross-player data access | Broken access control, IDOR in partition keys | Critical | Low | Row-level security via IAM conditions, user ID validation in application layer | T1530 - Data from Cloud Storage Object |
| Repudiation | Data changes denied | No audit trail for table operations | Medium | Medium | CloudTrail logging for all API calls, DynamoDB Streams for change tracking, point-in-time recovery | T1485 - Data Destruction |
| Information Disclosure | Data breach | Unencrypted data at rest, backup exposure | Critical | Low | KMS encryption at rest (AES-256), access logging, encrypted backups, VPC endpoints | T1530 - Data from Cloud Storage Object |
| Information Disclosure | Query pattern analysis | Side-channel attacks via timing, capacity monitoring | Low | Low | Consistent query patterns, on-demand capacity mode, traffic obfuscation | T1565 - Data Manipulation |
| Denial of Service | Table capacity exhaustion | Write/read capacity flood, hot partition attack | Medium | Medium | Auto-scaling, throttling, reserved capacity, DynamoDB Accelerator (DAX) caching | T1499.002 - Service Exhaustion Flood |
| Denial of Service | DDoS on database | Distributed query flood, table scan attacks | Medium | Low | WAF protection, rate limiting in application layer, CloudFront caching | T1498 - Network Denial of Service |
| Elevation of Privilege | IAM policy exploitation | Overly permissive table policies, role assumption abuse | High | Low | Least privilege IAM, condition keys for user context, deny policies for sensitive operations | T1098 - Account Manipulation |
Security Controls:
- โ Encryption at rest: AWS KMS with customer-managed keys
- โ Encryption in transit: TLS 1.3 for all connections
- โ IAM policies: Least privilege with condition expressions
- โ VPC endpoints: Private connectivity without internet gateway
- โ CloudTrail: All API operations logged
- โ DynamoDB Streams: Change data capture for audit
- โ Point-in-time recovery: Enabled for all tables (35-day window)
- โ Automated backups: Daily backups with 35-day retention
๐ฆ S3 Security (Save Games & User Content)
| Threat Category | Threat Description | Attack Vector | Severity | Likelihood | Mitigation | MITRE ATT&CK |
|---|---|---|---|---|---|---|
| Spoofing | Bucket policy bypass | Misconfigured bucket policies, public access | Critical | Low | Block public access (enabled), VPC endpoints only, pre-signed URLs with expiration | T1530 - Data from Cloud Storage Object |
| Tampering | Object modification | Unauthorized file replacement, version manipulation | High | Low | Object versioning enabled, MFA delete required, S3 Object Lock (compliance mode) | T1565.001 - Stored Data Manipulation |
| Tampering | Malicious file upload | Virus/malware upload, XXE attacks via file upload | High | Medium | Content-type validation, file size limits, malware scanning (GuardDuty for S3), no executable files | T1204.002 - Malicious File |
| Repudiation | Object access denied | No access logging, missing audit trail | Medium | Medium | S3 access logging enabled, CloudTrail data events, log immutability with Object Lock | T1070 - Indicator Removal |
| Information Disclosure | Data exfiltration | Unauthorized object reads, bulk downloads | Critical | Medium | IAM user-specific prefixes, condition keys for cognito-identity-id, access logging, CloudFront signed URLs | T1567 - Exfiltration Over Web Service |
| Information Disclosure | Unencrypted backups | Backup exposure, snapshot leakage | High | Low | Server-side encryption (SSE-KMS), encrypted replicas, lifecycle policies with encryption enforcement | T1530 - Data from Cloud Storage Object |
| Denial of Service | Storage exhaustion | Excessive uploads, quota abuse | Medium | Medium | User storage quotas (1GB per user), object count limits, lifecycle policies for cleanup | T1499.002 - Service Exhaustion Flood |
| Denial of Service | Request flood | GET/PUT flood, bandwidth exhaustion | Low | Medium | CloudFront caching, rate limiting, request throttling, auto-scaling | T1498 - Network Denial of Service |
| Elevation of Privilege | Cross-user access | Broken access control, path traversal | Critical | Low | IAM condition keys for user context, user-specific prefixes enforced, no wildcard permissions | T1068 - Exploitation for Privilege Escalation |
Security Controls:
- โ Encryption: SSE-KMS with customer-managed keys (AES-256)
- โ Block public access: Enabled at account and bucket level
- โ Versioning: Enabled for all user content buckets
- โ MFA delete: Required for object deletion
- โ S3 Object Lock: Compliance mode for audit logs
- โ Access logging: Enabled with separate log bucket
- โ IAM policies: User-specific prefixes (cognito-identity-id)
- โ Lifecycle policies: Automatic transition to cold storage (7 days)
- โ Cross-region replication: US-East-1 โ US-West-2
๐ณ Stripe Payment Integration Security
| Threat Category | Threat Description | Attack Vector | Severity | Likelihood | Mitigation | MITRE ATT&CK |
|---|---|---|---|---|---|---|
| Spoofing | Fake payment notification | Forged webhook, spoofed payment confirmation | Critical | Medium | Webhook signature verification (HMAC-SHA256), Stripe webhook secrets, endpoint IP whitelist | T1566.002 - Spearphishing Link |
| Tampering | Price manipulation | Modified checkout amounts, currency manipulation | Critical | Medium | Server-side price validation, Stripe Checkout hosted UI, no client-side price setting | T1565.002 - Transmitted Data Manipulation |
| Tampering | Webhook replay attack | Reused webhook events, duplicate processing | High | Medium | Idempotency keys, event ID tracking, timestamp validation (5min tolerance) | T1557 - Man-in-the-Middle |
| Repudiation | Payment dispute | No transaction logging, missing payment evidence | High | High | Stripe Dashboard logs, CloudWatch integration, immutable audit trail, email receipts | T1070 - Indicator Removal |
| Information Disclosure | Payment data leak | Unencrypted card data, PII exposure | Critical | Low | PCI DSS compliance (Stripe handles card data), Stripe.js tokenization, no card storage | T1530 - Data from Cloud Storage Object |
| Information Disclosure | Customer data exposure | Verbose error messages, metadata leakage | Medium | Medium | Sanitized error responses, minimal customer metadata, no sensitive data in logs | T1213 - Data from Information Repositories |
| Denial of Service | Webhook flood | DDoS on webhook endpoint, event storm | Medium | Medium | Rate limiting (100 events/minute), WAF protection, queue-based processing | T1499 - Endpoint Denial of Service |
| Denial of Service | Payment processing abuse | Fraudulent payment attempts, card testing | Medium | High | Stripe Radar (fraud detection), rate limiting per user, CAPTCHA for checkout | T1498 - Network Denial of Service |
| Elevation of Privilege | Unauthorized refund | Compromised API key, admin access abuse | High | Low | Restricted API keys (no refund capability), secret rotation (90 days), admin MFA required | T1098 - Account Manipulation |
Security Controls:
- โ PCI DSS: Stripe handles all card data (Level 1 PCI compliant)
- โ Stripe.js: Client-side tokenization, no card data touches backend
- โ Webhook signatures: HMAC-SHA256 verification required
- โ Checkout Session: Stripe-hosted UI for payment collection
- โ API keys: Restricted permissions, test vs. live keys separated
- โ Stripe Radar: Machine learning fraud detection
- โ 3D Secure: Enabled for European customers (SCA compliance)
- โ Webhook events: checkout.session.completed, payment_intent.succeeded, charge.refunded
- โ Idempotency: Event ID tracking to prevent duplicate processing
๐ OAuth 2.0 Social Login Security
Supported Providers: Google, Facebook, Discord, GitHub, Twitter/X, Apple
| Threat Category | Threat Description | Attack Vector | Severity | Likelihood | Mitigation | MITRE ATT&CK |
|---|---|---|---|---|---|---|
| Spoofing | Fake OAuth provider | Phishing attack, DNS hijacking, homograph attack | High | Low | HTTPS only, certificate pinning, validate provider certificates, user education | T1566.002 - Spearphishing Link |
| Spoofing | Account linking attack | Attacker links their social account to victim's game account | Critical | Low | Email verification required, existing account detection, user consent for linking | T1556 - Modify Authentication Process |
| Tampering | Authorization code interception | CSRF attack, redirect URI manipulation, code theft | High | Medium | State parameter validation, redirect URI whitelist in Cognito, PKCE (Proof Key for Code Exchange) | T1539 - Steal Web Session Cookie |
| Tampering | Token manipulation | Modified OAuth tokens, scope escalation | High | Low | Token signature verification, scope validation, minimal scopes (email, profile only) | T1550.001 - Application Access Token |
| Repudiation | Social login abuse | No consent logging, missing audit trail | Medium | Medium | Cognito audit logs, user consent tracking with timestamps, CloudTrail integration | T1070.002 - Clear Linux or Mac System Logs |
| Information Disclosure | Excessive scope access | Over-permissioned OAuth scopes, data collection beyond needs | Medium | Medium | Minimal scopes (openid, email, profile only), no write permissions, scope review process | T1213 - Data from Information Repositories |
| Information Disclosure | Social account data leakage | Exposed social profile data, email addresses | Low | Medium | Data minimization, no storage of social tokens, refresh token rotation | T1530 - Data from Cloud Storage Object |
| Denial of Service | OAuth authorization flood | Repeated authorization requests, consent spam | Low | Low | Rate limiting on OAuth callbacks (10 attempts/minute), CAPTCHA for repeated attempts | T1498 - Network Denial of Service |
| Elevation of Privilege | Account takeover via compromised social account | Attacker gains access to victim's social account | High | Medium | Email verification, account linking security, MFA enforcement, activity monitoring | T1078 - Valid Accounts |
| Elevation of Privilege | Session fixation | Attacker forces victim to use attacker-controlled session | Medium | Low | Session ID regeneration after login, PKCE validation, short-lived authorization codes (10min) | T1539 - Steal Web Session Cookie |
OAuth 2.0 Security Best Practices:
- โ Authorization Code Flow with PKCE: Protection against authorization code interception
- โ State parameter: CSRF protection, validated on callback
- โ Redirect URI whitelist: Only whitelisted URIs in Cognito configuration
- โ Minimal scopes: openid, email, profile (no write permissions)
- โ Short-lived codes: Authorization codes expire in 10 minutes
- โ Email verification: Required for account linking security
- โ Account linking: Secure detection of existing accounts by email
- โ Token rotation: Refresh tokens rotated on use (30-day lifetime)
- โ No token storage: Social provider tokens not stored in database
- โ User consent: Explicit consent UI for account linking
Provider-Specific Security:
| Provider | Integration Method | Security Notes |
|---|---|---|
| Native Cognito Social IdP | Google Sign-In best practices, scope: openid, profile, email | |
| Native Cognito Social IdP | Facebook Login Security Checklist, minimal data access | |
| Apple | Native Cognito Social IdP | Sign in with Apple guidelines, privacy-focused |
| Discord | Custom OIDC IdP | OAuth 2.0 bot security, scope: openid, email, identify |
| GitHub | Custom OAuth 2.0 IdP | GitHub OAuth App security, scope: read:user, user:email |
| Twitter/X | Custom OIDC IdP | OAuth 2.0 with PKCE, scope: openid, tweet.read, users.read |
๐๏ธ MITRE ATT&CK Framework Integration
๐ Cloud-Specific Attack Techniques
Following MITRE ATT&CK-Driven Analysis methodology for cloud environments:
| Phase | Technique | ID | Black Trigram Context | Control | Detection |
|---|---|---|---|---|---|
| ๐ Initial Access | Valid Accounts (Cloud) | T1078.004 | Compromised AWS Cognito accounts or IAM credentials | MFA required, password policies, breach detection | CloudTrail monitoring, GuardDuty alerts |
| ๐ Initial Access | Exploit Public-Facing App | T1190 | API Gateway vulnerability exploitation | WAF rules, input validation, rate limiting | Security Hub findings, API logs |
| ๐ Initial Access | Phishing for Information | T1598 | Social engineering for OAuth credentials or JWT tokens | User education, phishing-resistant MFA | Cognito anomaly detection |
| โก Execution | Command & Scripting Interpreter | T1059.006 | Malicious code in Lambda (Python/Node.js injection) | Input validation, no eval(), sandboxing | X-Ray tracing, CloudWatch anomalies |
| โก Execution | Serverless Execution | T1648 | Lambda function invocation for malicious purposes | IAM least privilege, VPC isolation | Lambda execution logs, unusual invocations |
| ๐ Persistence | Create Account | T1136.003 | Rogue Cognito user accounts created | Email verification, CAPTCHA, rate limiting | Cognito user pool monitoring, GuardDuty |
| ๐ Persistence | Account Manipulation | T1098 | Adding MFA device or changing account attributes | MFA challenges, admin review for privilege changes | CloudTrail Cognito API calls |
| โฌ๏ธ Privilege Escalation | Valid Accounts | T1078 | Escalation via compromised admin accounts | Separate admin user pool, MFA required | CloudTrail policy changes, IAM Access Analyzer |
| โฌ๏ธ Privilege Escalation | Exploitation for Privilege Escalation | T1068 | IAM policy exploitation or Lambda privilege abuse | Least privilege, IAM Access Analyzer, deny policies | Security Hub policy findings |
| ๐ญ Defense Evasion | Impair Defenses | T1562.008 | Disabling CloudTrail, CloudWatch, or GuardDuty | SCPs to prevent logging deletion, immutable logs | CloudTrail monitoring, Config rules |
| ๐ญ Defense Evasion | Modify Cloud Compute Infrastructure | T1578 | Lambda environment variable manipulation | KMS encryption, Lambda versioning, code signing | Lambda version tracking |
| ๐ Credential Access | Steal Application Access Token | T1528 | JWT token theft from browser or network interception | Short-lived tokens, HTTPS only, refresh rotation | Unusual token usage patterns |
| ๐ Credential Access | Brute Force | T1110 | Cognito password brute force or credential stuffing | Account lockout, rate limiting, CAPTCHA | Failed authentication monitoring, GuardDuty |
| ๐ Credential Access | Unsecured Credentials | T1552.001 | Hardcoded secrets in Lambda code or environment variables | Secrets Manager, KMS encryption, code scanning | Static code analysis, secret detection tools |
| ๐ Discovery | Cloud Service Discovery | T1526 | Enumeration of AWS services and resources | IAM deny policies for enumeration, VPC isolation | CloudTrail API call patterns |
| ๐ Discovery | Account Discovery | T1087.004 | Cognito user enumeration | Generic error messages, rate limiting | Cognito AdminListUsers API monitoring |
| ๐๏ธ Collection | Data from Cloud Storage Object | T1530 | Unauthorized S3 or DynamoDB data access | IAM conditions, VPC endpoints, encryption | CloudTrail data access logs |
| ๐๏ธ Collection | Data from Information Repositories | T1213 | Exfiltration of player data or payment history | Row-level security, data classification, DLP | Unusual query patterns, data access monitoring |
| ๐ค Exfiltration | Transfer Data to Cloud Account | T1537 | Data copied to attacker-controlled S3 bucket or external service | VPC endpoints only, no internet gateway, outbound traffic monitoring | VPC flow logs, GuardDuty findings |
| ๐ค Exfiltration | Exfiltration Over Web Service | T1567 | Data exfiltration via Lambda to external endpoints | Private subnets, outbound restrictions, monitoring | X-Ray external calls, unusual network activity |
| ๐ฅ Impact | Data Destruction | T1485 | Malicious deletion of DynamoDB items or S3 objects | MFA delete, backups, versioning | CloudTrail delete operations, anomaly detection |
| ๐ฅ Impact | Data Manipulation | T1565 | Modification of game states or payment records | Input validation, audit logging, immutability | DynamoDB Streams, change detection |
| ๐ฅ Impact | Resource Hijacking | T1496 | Lambda compute resources used for cryptocurrency mining | Timeout limits, memory limits, cost alerts | CloudWatch cost anomalies, unusual execution patterns |
| ๐ฅ Impact | Endpoint Denial of Service | T1499 | API Gateway or Lambda flooding | WAF rate limiting, auto-scaling, throttling | CloudWatch metrics, GuardDuty |
๐ณ Attack Tree Analysis
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flowchart TD
GOAL["๐ฏ Compromise Black Trigram<br/>AWS Serverless Backend"]
GOAL --> PATH1["๐ Authentication Attack"]
GOAL --> PATH2["๐ช API Gateway Attack"]
GOAL --> PATH3["โก Serverless Exploitation"]
GOAL --> PATH4["๐ Data Layer Attack"]
GOAL --> PATH5["๐ณ Payment System Attack"]
PATH1 --> AUTH1["๐ Credential Compromise"]
PATH1 --> AUTH2["๐ฅ Social Login Attack"]
PATH1 --> AUTH3["๐ญ Session Hijacking"]
AUTH1 --> AUTH1A["๐ฏ Brute Force Cognito"]
AUTH1 --> AUTH1B["๐ Credential Stuffing"]
AUTH1A --> AUTH1A1["๐ Account Takeover"]
AUTH1B --> AUTH1B1["๐ Data Breach"]
AUTH2 --> AUTH2A["๐ OAuth Token Theft"]
AUTH2 --> AUTH2B["๐ Account Linking Attack"]
AUTH2A --> AUTH2A1["๐ญ Impersonation"]
AUTH2B --> AUTH2B1["๐ค Identity Confusion"]
PATH2 --> API1["๐ช API Abuse"]
PATH2 --> API2["๐ฅ DDoS Attack"]
API1 --> API1A["๐ Injection Attack"]
API1 --> API1B["๐ Broken Access Control"]
API2 --> API2A["๐ Request Flood"]
API2 --> API2B["๐ก WebSocket Exhaustion"]
PATH3 --> LAMBDA1["โก Lambda Function Exploit"]
PATH3 --> LAMBDA2["๐ IAM Privilege Escalation"]
LAMBDA1 --> LAMBDA1A["๐ Code Injection"]
LAMBDA1 --> LAMBDA1B["๐ฆ Dependency Poisoning"]
LAMBDA2 --> LAMBDA2A["๐ฏ Overprivileged Function"]
LAMBDA2 --> LAMBDA2B["๐ Role Assumption Abuse"]
PATH4 --> DATA1["๐ Database Attack"]
PATH4 --> DATA2["๐ฆ Storage Attack"]
DATA1 --> DATA1A["๐ NoSQL Injection"]
DATA1 --> DATA1B["๐ Unauthorized Access"]
DATA2 --> DATA2A["๐ค Data Exfiltration"]
DATA2 --> DATA2B["๐๏ธ Malicious File Upload"]
PATH5 --> PAY1["๐ณ Payment Fraud"]
PATH5 --> PAY2["๐ฃ Webhook Attack"]
PAY1 --> PAY1A["๐ธ Price Manipulation"]
PAY1 --> PAY1B["๐ Transaction Replay"]
PAY2 --> PAY2A["๐ญ Webhook Forgery"]
PAY2 --> PAY2B["๐ Webhook Injection"]
style GOAL fill:#d32f2f,color:#fff,stroke-width:3px
style PATH1 fill:#ff5722,color:#fff,stroke-width:2px
style PATH2 fill:#ff9800,color:#fff,stroke-width:2px
style PATH3 fill:#ffc107,color:#000,stroke-width:2px
style PATH4 fill:#9c27b0,color:#fff,stroke-width:2px
style PATH5 fill:#e91e63,color:#fff,stroke-width:2px
๐ฏ Priority Threat Scenarios
๐ด Critical Threat Scenarios
Following Risk-Centric Threat Modeling methodology:
| # | Scenario | MITRE Tactic | Impact Focus | Likelihood | Risk | Key Mitigations | Residual Action |
|---|---|---|---|---|---|---|---|
| 1 | ๐ Cognito Account Takeover | Initial Access | User data breach, unauthorized access | High | MFA enforcement, password policies, breach detection, rate limiting | Implement behavioral biometrics, continuous authentication | |
| 2 | ๐ณ Stripe Webhook Forgery | Impact | Payment fraud, revenue loss | Medium | HMAC-SHA256 signature verification, idempotency keys, webhook IP whitelist | Add webhook event replay detection, fraud scoring | |
| 3 | ๐ DynamoDB Data Breach | Collection | Player data exfiltration, PII exposure | Medium | KMS encryption, VPC endpoints, IAM row-level security, GuardDuty monitoring | Implement data loss prevention, query monitoring | |
| 4 | โก Lambda Code Injection | Execution | Remote code execution, privilege escalation | Medium | Input validation, parameterized queries, no eval(), VPC isolation | Add runtime application self-protection (RASP) | |
| 5 | ๐ช API Gateway DDoS | Impact | Service unavailability, revenue loss | High | WAF rate limiting, auto-scaling, CloudFront protection, throttling | Implement advanced bot protection, traffic shaping | |
| 6 | ๐ OAuth Account Linking Attack | Initial Access | Identity confusion, account takeover | Medium | Email verification, account detection, PKCE, state parameter | Add biometric verification for account linking | |
| 7 | ๐ฆ S3 Data Exfiltration | Exfiltration | Save game theft, replay exposure | Low | IAM user-specific prefixes, VPC endpoints, access logging, GuardDuty S3 protection | Implement data watermarking, access patterns ML | |
| 8 | ๐ IAM Privilege Escalation | Privilege Escalation | Lateral movement, resource compromise | Low | Least privilege IAM, IAM Access Analyzer, deny policies, SCPs | Implement just-in-time access, privilege telemetry |
โ๏ธ Risk Heat Matrix
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quadrantChart
title ๐ฏ AWS Backend 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
"๐ Cognito Account Takeover": [0.7, 0.95]
"๐ณ Stripe Webhook Forgery": [0.5, 0.9]
"๐ DynamoDB Data Breach": [0.5, 0.85]
"โก Lambda Code Injection": [0.5, 0.75]
"๐ช API Gateway DDoS": [0.75, 0.7]
"๐ OAuth Account Linking": [0.5, 0.7]
"๐ฆ S3 Data Exfiltration": [0.3, 0.6]
"๐ IAM Privilege Escalation": [0.3, 0.65]
๐จ Incident Response Procedures
Backend Security Event Response
Following Incident Response Plan procedures:
1. Unauthorized Cognito Access
- Detection: CloudWatch alarms on failed authentication (>10 attempts/5min), GuardDuty credential compromise finding
- Response:
- Revoke all JWT tokens for affected user via Cognito AdminUserGlobalSignOut
- Force password reset with email verification
- Enable MFA requirement
- Investigate source IP via CloudTrail and VPC Flow Logs
- Block malicious IPs in WAF
- Notify user via email with security advisory
- Recovery: User re-authenticates with new credentials and MFA
2. DynamoDB Data Breach
- Detection: GuardDuty alerts on unusual data access patterns, CloudTrail unauthorized API calls, anomalous query volume
- Response:
- Immediately disable compromised IAM credentials via AWS STS
- Rotate all KMS keys used for DynamoDB encryption
- Review CloudTrail logs for data accessed (PK/SK patterns)
- Enable DynamoDB point-in-time recovery if not already enabled
- Assess data exposure scope (affected users, data types)
- Notify affected users per GDPR requirements (72-hour window)
- Conduct forensic analysis of access patterns
- Recovery: Restore from last known good backup if data modified, implement enhanced monitoring
3. Stripe Webhook Forgery
- Detection: Webhook signature verification failure, duplicate event IDs, unusual webhook frequency
- Response:
- Block source IP in API Gateway and WAF
- Review recent webhook events in Stripe Dashboard
- Validate all pending purchase records in DynamoDB
- Identify fraudulent transactions and mark for refund
- Rotate Stripe webhook signing secrets
- Update Lambda webhook handler with new secret
- Contact Stripe support for fraud investigation
- Recovery: Process legitimate webhooks from queue, monitor for 24 hours
4. Lambda Function Compromise
- Detection: X-Ray unusual execution patterns, CloudWatch anomalous invocations, high error rates, external network calls
- Response:
- Immediately disable Lambda function via UpdateFunctionConfiguration (set reserved concurrency to 0)
- Review Lambda execution logs for malicious activity
- Analyze X-Ray traces for external service calls
- Rotate all IAM role credentials used by function
- Review environment variables for secrets exposure
- Redeploy function from clean source in version control
- Enable VPC isolation if not already enabled
- Recovery: Deploy new function version after security review, gradually restore traffic
5. API Gateway DDoS Attack
- Detection: CloudWatch metrics spike (4xx/5xx errors, latency), WAF rate limit triggers, GuardDuty DDoS finding
- Response:
- Enable AWS Shield Advanced if not already active
- Activate WAF emergency rate limiting rules (stricter thresholds)
- Implement CAPTCHA challenges for suspicious traffic
- Geo-block non-essential regions in CloudFront
- Scale Lambda reserved concurrency and API Gateway throttling
- Contact AWS Support for DDoS mitigation assistance
- Recovery: Gradually relax rate limits while monitoring traffic patterns
6. OAuth Account Linking Attack
- Detection: Multiple account linking attempts from same IP, unusual social provider login patterns, email verification failures
- Response:
- Disable account linking for affected social providers temporarily
- Review Cognito audit logs for suspicious linking events
- Identify affected user accounts and force re-verification
- Implement additional verification step (SMS or email code)
- Enhance account linking detection with behavioral analysis
- Notify users with linked accounts to verify legitimacy
- Recovery: Re-enable account linking with enhanced controls
7. S3 Data Exfiltration
- Detection: GuardDuty S3 protection finding, unusual data transfer patterns, CloudTrail bulk GetObject calls
- Response:
- Immediately disable compromised IAM credentials
- Review CloudTrail for data accessed (S3 object keys)
- Enable MFA delete on bucket if not already enabled
- Restrict bucket access to VPC endpoints only
- Analyze VPC Flow Logs for exfiltration destination
- Assess data sensitivity and exposure scope
- Notify affected users per GDPR/data breach laws
- Recovery: Rotate S3 bucket encryption keys, implement data loss prevention
Security Event Escalation Matrix
| Severity | Response Time | Notification | Action |
|---|---|---|---|
| Critical | < 15 minutes | CEO, CISO, Security Team, Affected Users | Immediate containment, executive briefing |
| High | < 1 hour | Security Team, DevOps, Product Manager | Rapid response, incident investigation |
| Medium | < 4 hours | Security Team, DevOps | Standard response, root cause analysis |
| Low | < 24 hours | DevOps | Monitoring, trend analysis |
Automated Response Actions
- โ GuardDuty Finding: Auto-block malicious IPs in WAF via EventBridge + Lambda
- โ Failed Auth Spike: Auto-enable CAPTCHA via Cognito triggers
- โ Cost Anomaly: Auto-alert + throttle via CloudWatch alarms
- โ IAM Policy Change: Auto-notify security team via SNS
- โ S3 Public Access: Auto-revert to private via Config remediation
๐ ISMS Compliance Mapping
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 | โ Designed | This document, ISMS policy references |
| A.8.1 - User endpoint devices | Authentication threats, device security | โ Designed | Cognito MFA, password policies |
| A.8.2 - Privileged access rights | IAM privilege escalation threats | โ Designed | Least privilege IAM, Access Analyzer |
| A.8.3 - Information access restriction | Row-level security, broken access control | โ Designed | IAM conditions, DynamoDB policies |
| A.8.4 - Access to source code | Lambda code injection, tampering | โ Designed | VPC isolation, code signing |
| A.8.5 - Secure authentication | Cognito threats, OAuth security | โ Designed | MFA, PKCE, JWT validation |
| A.8.6 - Capacity management | DoS threats, resource exhaustion | โ Designed | Auto-scaling, rate limiting, throttling |
| A.8.10 - Information deletion | Data retention, secure deletion | ๐ Planned | S3 lifecycle, DynamoDB TTL |
| A.8.11 - Data masking | Information disclosure prevention | โ Designed | Generic errors, data sanitization |
| A.8.12 - Data leakage prevention | Data exfiltration threats | โ Designed | VPC endpoints, outbound monitoring |
| A.8.13 - Information backup | Data destruction threats, DR | โ Designed | AWS Backup, cross-region replication |
| A.8.14 - Redundancy of information processing facilities | High availability, resilience | โ Designed | Multi-AZ, multi-region architecture |
| A.8.16 - Monitoring activities | Security event detection | โ Designed | CloudWatch, GuardDuty, Security Hub |
| A.8.17 - Clock synchronization | Audit trail integrity | โ Automatic | AWS NTP services |
| A.8.18 - Use of privileged utility programs | Lambda privilege escalation | โ Designed | Least privilege, execution monitoring |
| A.8.23 - Web filtering | Malicious content prevention | โ Designed | WAF rules, CloudFront protection |
| A.8.24 - Use of cryptography | Encryption threats, key management | โ Designed | KMS, TLS 1.3, encryption at rest |
| A.8.25 - Secure development lifecycle | Supply chain, code injection | โ Designed | SBOM, dependency scanning, code review |
| A.8.27 - Secure system architecture and engineering principles | Defense in depth, trust boundaries | โ Designed | VPC isolation, security groups, WAF layers |
| A.8.28 - Secure coding | Injection attacks, tampering | โ Designed | Input validation, parameterized queries |
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 and tolerance | This document, risk matrix |
| GOVERN (GV) | GV.RM - Risk Management Strategy | STRIDE and MITRE ATT&CK risk identification | Threat scenarios, risk assessment |
| GOVERN (GV) | GV.RR - Roles, Responsibilities, and Authorities | Incident response escalation matrix defined | Incident response procedures |
| IDENTIFY (ID) | ID.AM - Asset Management | Critical assets and crown jewels identified | Asset-centric analysis section |
| IDENTIFY (ID) | ID.RA - Risk Assessment | Risk heat matrix with likelihood/impact ratings | Priority threat scenarios |
| IDENTIFY (ID) | ID.IM - Improvement | Residual actions defined for each threat | Threat mitigation tables |
| PROTECT (PR) | PR.AA - Identity Management, Authentication and Access Control | Cognito MFA, IAM least privilege, OAuth 2.0 security | Authentication threat analysis |
| PROTECT (PR) | PR.AT - Awareness and Training | User security education for phishing, social engineering | Security controls documentation |
| PROTECT (PR) | PR.DS - Data Security | KMS encryption, DynamoDB/S3 protection | Data layer threat analysis |
| PROTECT (PR) | PR.IP - Information Protection Processes and Procedures | Secure development, input validation, secrets management | Lambda security controls |
| PROTECT (PR) | PR.PT - Platform Security | VPC isolation, security groups, WAF protection | Network security architecture |
| DETECT (DE) | DE.AE - Anomalies and Events | GuardDuty, CloudWatch anomaly detection | Security monitoring controls |
| DETECT (DE) | DE.CM - Security Continuous Monitoring | CloudTrail, X-Ray tracing, access logging | Incident detection methods |
| RESPOND (RS) | RS.MA - Management | Incident response procedures for all threat types | Incident response section |
| RESPOND (RS) | RS.AN - Analysis | Forensic analysis procedures for security events | Incident investigation steps |
| RESPOND (RS) | RS.MI - Mitigation | Automated response actions via EventBridge + Lambda | Automated response section |
| RECOVER (RC) | RC.RP - Recovery Planning | Point-in-time recovery, multi-region backups | Recovery procedures |
| RECOVER (RC) | RC.IM - Improvements | Post-incident improvements and lessons learned | Residual actions |
CIS Controls v8.1 Alignment
| CIS Control | Black Trigram Implementation | Evidence |
|---|---|---|
| 1 - Inventory and Control of Enterprise Assets | AWS resource tagging, Config inventory | Infrastructure as Code |
| 2 - Inventory and Control of Software Assets | SBOM for Lambda dependencies, ECR scanning | Dependency management |
| 3 - Data Protection | KMS encryption at rest, TLS 1.3 in transit | Encryption controls |
| 4 - Secure Configuration of Enterprise Assets and Software | Hardened Lambda, API Gateway, VPC config | Security architecture |
| 5 - Account Management | Cognito user management, IAM least privilege | Authentication controls |
| 6 - Access Control Management | Row-level security, IAM conditions | Authorization controls |
| 7 - Continuous Vulnerability Management | GuardDuty, Security Hub, dependency scanning | Vulnerability monitoring |
| 8 - Audit Log Management | CloudTrail, CloudWatch Logs, immutable logging | Audit logging |
| 9 - Email and Web Browser Protections | WAF rules, phishing-resistant MFA | Web security |
| 10 - Malware Defenses | GuardDuty malware detection for S3 | Malware protection |
| 11 - Data Recovery | AWS Backup, point-in-time recovery, multi-region | Backup controls |
| 12 - Network Infrastructure Management | VPC, security groups, NACLs, VPC Flow Logs | Network security |
| 13 - Network Monitoring and Defense | GuardDuty, VPC Flow Logs, WAF | Network monitoring |
| 14 - Security Awareness and Skills Training | Secure coding guidelines, security documentation | Developer training |
| 16 - Application Software Security | Input validation, OWASP Top 10 mitigations | Application security |
| 17 - Incident Response Management | Documented incident response procedures | Incident response section |
| 18 - Penetration Testing | Planned security testing of API Gateway, Lambda | Testing strategy |
๐ Related Documents
๐ ISMS Threat Modeling & Risk Management
- ๐ฏ Threat Modeling Policy - STRIDE methodology and standards
- ๐ Risk Assessment Methodology - Risk quantification framework
- ๐ Risk Register - Enterprise risk tracking
- ๐ท๏ธ Classification Framework - Business impact analysis
๐ ISMS Security Policies
- ๐ Information Security Policy - Overall security governance
- ๐ ๏ธ Secure Development Policy - Security-integrated SDLC
- ๐ Vulnerability Management - Security testing procedures
- ๐จ Incident Response Plan - Security incident handling
- ๐ Cryptography Policy - Encryption standards
- ๐ Network Security Policy - VPC and WAF configuration
- ๐ Access Control Policy - IAM and RBAC
- ๐พ Backup Recovery Policy - Data protection and DR
- ๐ค Third Party Management - AWS and Stripe security assessment
๐ก๏ธ Black Trigram Security Documentation
- ๐ก๏ธ Security Architecture - Current frontend security implementation
- ๐ฎ Future Security Architecture - AWS backend security controls
- ๐ Current Threat Model - Frontend-only threat analysis
- ๐๏ธ Future Architecture - AWS backend design specifications
- ๐ Future Data Model - DynamoDB table schemas
- ๐ Future Workflows - CI/CD security for backend
- ๐ Security Policy - Vulnerability reporting and disclosure
- ๐บ๏ธ ISMS Reference Mapping - Complete ISMS policy mapping
- ๐ CRA Assessment - EU Cyber Resilience Act compliance
๐ Development & Operations
- ๐ Workflows - Security-hardened CI/CD pipelines
- ๐ง Development Guide - Security features and testing
- ๐ Architecture - Overall system design
- ๐ฎ Combat Architecture - Game security integration
๐ External References
- MITRE ATT&CK Cloud Matrix - Cloud attack techniques
- AWS Security Best Practices - AWS security guidance
- OWASP Serverless Top 10 - Serverless security risks
- PCI DSS Requirements - Payment card security standards
- OAuth 2.0 Security Best Practices - OAuth security
๐ Future Threat Modeling Maturity
๐ Cloud Security Maturity Framework
Following Hack23 AB Maturity Levels adapted for cloud environments:
๐ข Level 1: Cloud Security Foundation
- ๐ Basic Authentication: AWS Cognito with password policies
- โ ๏ธ Basic Monitoring: CloudWatch metrics and alarms
- ๐ก๏ธ Basic Protection: WAF with OWASP rule set
- ๐ Documentation: STRIDE analysis for AWS services
- ๐ IAM Basics: Least privilege policies documented
๐ก Level 2: Cloud Process Integration
- ๐ Regular Security Review: Quarterly threat model updates
- ๐ GuardDuty Integration: Automated threat detection enabled
- ๐ง Security Automation: EventBridge + Lambda auto-remediation
- ๐ Incident Response: Documented procedures with runbooks
๐ Level 3: Cloud Security Excellence
- ๐ Comprehensive Cloud STRIDE: All AWS services analyzed
- โ๏ธ Risk Quantification: Impact ร likelihood for all threats
- ๐ก๏ธ Defense in Depth: Multiple security layers (WAF, VPC, IAM, KMS)
- ๐ Security Culture: Team training on cloud security
๐ด Level 4: Advanced Cloud Intelligence
- ๐ Proactive Threat Hunting: Security Hub custom insights
- ๐ Threat Intelligence: Integration with external feeds
- ๐ Security Metrics: KPIs tracked (MTTD, MTTR, mean time to detect/respond)
- ๐ Continuous Improvement: Post-incident reviews with action items
๐ฃ Level 5: Cloud Innovation Leadership
- ๐ฎ Predictive Security: ML-based anomaly detection (GuardDuty ML)
- ๐ค AI-Enhanced Threat Modeling: Automated threat identification
- ๐ Industry Leadership: Public sharing of cloud security practices
- ๐ฌ Research & Development: Contributing to MITRE ATT&CK cloud techniques
Current Status: ๐ก Level 2 (Process Integration) - Targeting Level 3 for v2.0 release
๐ Cloud Security Best Practices
๐ AWS Security Principles
๐ Identity-Centric Security
- ๐ Cognito User Pools: Central identity provider with MFA enforcement
- โ๏ธ IAM Least Privilege: One role per Lambda function, resource-based policies
- ๐ Identity Pool: Temporary credentials via AWS STS (15-minute expiration)
- ๐ก๏ธ Row-Level Security: IAM conditions for user-specific data access
๐ฅ Defense in Depth
- ๐ค Multiple Security Layers: CloudFront WAF โ API Gateway WAF โ Lambda IAM โ VPC isolation โ KMS encryption
- ๐ข Fail Secure: Default deny policies, explicit allow required
- ๐ Immutable Infrastructure: Infrastructure as Code, no manual changes
- ๐ Security Automation: EventBridge + Lambda for automated response
๐ Continuous Monitoring
- โก Real-time Detection: GuardDuty, Security Hub, CloudWatch
- ๐ Audit Trail: CloudTrail all API calls, immutable logging to S3
- ๐ค Anomaly Detection: Machine learning baselines for user behavior
- ๏ฟฝ๏ฟฝ Security Dashboards: Centralized visibility via Security Hub
๐ Document Control:
โ
Approved by: James Pether Sรถrling, CEO
๐ค Distribution: Public
๐ท๏ธ Classification:
๐
Effective Date: 2026-03-19
โฐ Next Review: 2026-09-19
๐ฏ Framework Compliance: