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13. Security Strategy

Status

Proposed

Context

CodeFlow handles sensitive data and requires robust security measures to protect:

  • Repository access tokens
  • User credentials
  • Code and configuration
  • Communication channels
  • Infrastructure

Decision

We will implement a defense-in-depth security strategy with the following layers:

1. Authentication & Authorization

1.1 Authentication

  • OAuth 2.0 with PKCE for GitHub/GitLab/Bitbucket
  • JWT for API authentication
  • Short-lived access tokens with refresh tokens
  • Multi-factor authentication (MFA) enforcement
// Example: JWT authentication middleware
const authenticate = async (req: Request, res: Response, next: NextFunction) => {
  try {
    const token = req.headers.authorization?.split(" ")[1];
    if (!token) {
      throw new UnauthorizedError("Authentication required");
    }

    const payload = await verifyJwt(token);
    req.user = await User.findById(payload.sub);
    next();
  } catch (error) {
    next(new UnauthorizedError("Invalid or expired token"));
  }
};

1.2 Authorization

  • Role-Based Access Control (RBAC)
  • Attribute-Based Access Control (ABAC) for fine-grained permissions
  • Repository-level access controls
  • Temporary credentials for CI/CD pipelines

2. Data Protection

2.1 Encryption

  • At rest: AES-256 for sensitive data
  • In transit: TLS 1.3 for all communications
  • Secrets management: AWS Secrets Manager or HashiCorp Vault
  • Environment-specific keys

2.2 Data Classification

Level Description Examples Protection Required
Public Non-sensitive Documentation, Open Source Code None
Internal Internal use only Configs, Non-sensitive logs Access control
Confidential Sensitive API keys, Tokens Encryption at rest/transit
Restricted Highly sensitive SSH keys, User credentials Strict access controls, Audit logging

3. Infrastructure Security

3.1 Network Security

  • VPC with private subnets
  • Web Application Firewall (WAF)
  • DDoS protection
  • Rate limiting

3.2 Container Security

  • Minimal base images
  • Non-root user
  • Read-only filesystem where possible
  • Image signing
  • Vulnerability scanning

4. Secure Development

4.1 Code Security

  • SAST (Static Application Security Testing)
  • DAST (Dynamic Application Security Testing)
  • Dependency scanning
  • Secrets detection in code

4.2 Secure Defaults

# Example: Secure Flask application setup
def create_app():
    app = Flask(__name__)

    # Security headers
    app.config.update(
        SESSION_COOKIE_HTTPONLY=True,
        SESSION_COOKIE_SECURE=True,
        SESSION_COOKIE_SAMESITE='Lax',
        PERMANENT_SESSION_LIFETIME=timedelta(hours=1),
        MAX_CONTENT_LENGTH=16 * 1024 * 1024,  # 16MB max upload
        JSON_SORT_KEYS=False,
        JSONIFY_PRETTYPRINT_REGULAR=False
    )

    # Security middleware
    SecurityHeaders(app)

    # Rate limiting
    limiter = Limiter(
        app=app,
        key_func=get_remote_address,
        default_limits=["200 per day", "50 per hour"]
    )

    return app

Implementation Phases

Phase 1: Foundation (1-2 months)

  1. Implement OAuth 2.0 with PKCE
  2. Set up secrets management
  3. Enable HTTPS everywhere
  4. Basic rate limiting

Phase 2: Hardening (2-4 months)

  1. Implement RBAC/ABAC
  2. Container security scanning
  3. WAF configuration
  4. Automated security testing

Phase 3: Advanced (4-6 months)

  1. MFA enforcement
  2. Advanced threat detection
  3. Continuous security monitoring
  4. Security training for developers

Consequences

Positive

  • Reduced attack surface
  • Better compliance
  • Customer trust
  • Early vulnerability detection

Negative

  • Development overhead
  • Complex configuration
  • Potential performance impact

Neutral

  • Ongoing maintenance
  • Regular audits required

Related Decisions