• Reporting Security Vulnerabilities
• Supported Versions
• Security Architecture
• Authentication & Authorization
• Data Protection
• Infrastructure Security
• Development Security Practices
• Dependencies & Third-Party Services
• Security Testing
• Incident Response
• Security Resources

We take security vulnerabilities seriously. If you discover a security vulnerability in MysticalRealms, please follow these steps:

1. DO NOT create a public GitHub issue for security vulnerabilities
2. DO NOT disclose the vulnerability publicly until we've had a chance to address it
3. DO send an email to: [email protected] (if available) or create a private security advisory on GitHub

When reporting a security vulnerability, please provide:

• Description: Clear description of the vulnerability
• Impact: Potential impact and severity assessment
• Reproduction: Step-by-step instructions to reproduce the issue
• Environment: Browser, OS, and version information where applicable
• Evidence: Screenshots, logs, or proof-of-concept (if safe to share)
• Suggested Fix: If you have ideas for remediation

• Acknowledgment: Within 48 hours of report
• Initial Assessment: Within 5 business days
• Status Updates: Weekly updates until resolution
• Resolution: Target 30-90 days depending on severity

1. We'll acknowledge receipt and begin investigation
2. We'll work with you to understand and validate the issue
3. We'll develop and test a fix
4. We'll coordinate disclosure timeline with you
5. We'll publish a security advisory after the fix is deployed

Note: Only the latest stable release receives security updates. Please upgrade to the latest version to ensure you have the latest security patches.

MysticalRealms follows a defense-in-depth security model with multiple layers:

┌─────────────────────────────────────────┐
│            User Interface               │
├─────────────────────────────────────────┤
│     Next.js Frontend (TypeScript)      │
│   • Client-side validation             │
│   • XSS protection                     │
│   • CSRF protection                    │
├─────────────────────────────────────────┤
│       Authentication Layer             │
│   • Supabase Auth                      │
│   • JWT tokens                         │
│   • Row Level Security (RLS)           │
├─────────────────────────────────────────┤
│      API Layer (FastAPI/Python)        │
│   • Input validation                   │
│   • Rate limiting                      │
│   • CORS configuration                 │
├─────────────────────────────────────────┤
│        Database Layer (Postgres)       │
│   • Row Level Security                 │
│   • Encrypted data at rest             │
│   • Connection encryption              │
└─────────────────────────────────────────┘

• Frontend: Client-side input validation and sanitization
• API Gateway: Authentication, authorization, and rate limiting
• Backend Services: Business logic validation and secure data processing
• Database: Row-level security and data encryption

We use Supabase Auth for secure user management:

• Multi-factor Authentication: Available for enhanced security
• Email Verification: Required for new accounts
• Password Requirements: Enforced strong password policies
• Session Management: Secure JWT-based sessions with automatic refresh
• OAuth Providers: Support for Google, GitHub, and other providers

// Row Level Security (RLS) policies ensure users can only access their data
-- Example RLS policy
CREATE POLICY "Users can only see their own profile" ON profiles
    FOR ALL USING (auth.uid() = user_id);

• JWT Tokens: Short-lived access tokens with refresh rotation
• Secure Storage: Tokens stored in httpOnly cookies when possible
• Automatic Refresh: Transparent token refresh to maintain sessions
• Logout: Proper token invalidation on logout

MysticalRealms handles various types of personal data with appropriate protection:

• Public: Profile names, public posts (non-sensitive)
• Personal: Email addresses, birth data for astrology charts
• Sensitive: Payment information, private journal entries
• System: Authentication tokens, session data

• Encryption at Rest: All sensitive data encrypted in the database
• Encryption in Transit: TLS 1.3 for all communications
• Data Minimization: Only collect necessary data
• Data Retention: Automatic cleanup of expired sessions and temporary data
• Right to Deletion: Users can delete their accounts and data

-- Example of encrypted column for sensitive data
ALTER TABLE user_profiles
ADD COLUMN birth_data_encrypted BYTEA;

-- Row Level Security policies
ALTER TABLE user_journals ENABLE ROW LEVEL SECURITY;
CREATE POLICY "Own journals only" ON user_journals
    FOR ALL USING (user_id = auth.uid());

# FastAPI Pydantic models ensure type safety and validation
from pydantic import BaseModel, validator, EmailStr
from typing import Optional
import re

class UserProfile(BaseModel):
    email: EmailStr
    name: str
    birth_date: Optional[date] = None

    @validator('name')
    def validate_name(cls, v):
        if not re.match(r'^[a-zA-Z\s]{2,50}$', v):
            raise ValueError('Invalid name format')
        return v.strip()

• Environment Variables: All secrets stored in environment variables
• Variable Validation: Runtime validation of required environment variables
• Development vs Production: Separate configurations with appropriate security levels

# Security-focused Dockerfile practices
FROM node:18-alpine AS builder
# Use non-root user
RUN addgroup -g 1001 -S nodejs
RUN adduser -S nextjs -u 1001

# Production container
FROM node:18-alpine AS runner
RUN addgroup -g 1001 -S nodejs
RUN adduser -S nextjs -u 1001
USER nextjs

• HTTPS Only: All production traffic encrypted
• CORS Configuration: Restrictive CORS policies
• CSP Headers: Content Security Policy headers
• Rate Limiting: API endpoints protected against abuse

// ✅ Good: Sanitize user input
import DOMPurify from "isomorphic-dompurify";

const sanitizedContent = DOMPurify.sanitize(userInput);

// ✅ Good: Validate environment variables
if (!process.env.NEXT_PUBLIC_SUPABASE_URL) {
  throw new Error("Missing required environment variable");
}

// ❌ Bad: Direct DOM manipulation with user content
document.innerHTML = userInput; // XSS vulnerability

# ✅ Good: Use parameterized queries
async def get_user_data(user_id: UUID):
    query = "SELECT * FROM users WHERE id = $1"
    return await db.fetch(query, user_id)

# ✅ Good: Input validation with Pydantic
class CreateUserRequest(BaseModel):
    email: EmailStr
    name: str = Field(..., min_length=2, max_length=50)

    @validator('name')
    def sanitize_name(cls, v):
        return html.escape(v.strip())

# ❌ Bad: SQL injection vulnerability
query = f"SELECT * FROM users WHERE id = '{user_id}'"  # Don't do this

• Input validation on all user inputs
• SQL injection prevention (parameterized queries)
• XSS prevention (output encoding/sanitization)
• Authentication checks on protected endpoints
• Authorization checks for data access
• Secure error handling (no sensitive info in errors)
• HTTPS enforcement
• Environment variable validation

# Use git-secrets to prevent committing secrets
git secrets --register-aws
git secrets --install
git secrets --scan

# Example .gitignore for sensitive files
.env
.env.local
.env.production
*.pem
*.key
*.p12

// package.json - Regular dependency audits
{
  "scripts": {
    "audit": "npm audit --audit-level moderate",
    "audit:fix": "npm audit fix"
  }
}

# requirements.txt - Python dependencies with pinned versions
fastapi==0.104.1
pydantic==2.4.2
supabase==1.2.0

• Database: Postgres with Row Level Security enabled
• Auth: OAuth 2.0 compliant authentication
• Storage: Encrypted file storage with access policies
• Edge Functions: Serverless functions with isolated execution

• Regular security audits of all dependencies
• Automated dependency update monitoring
• Vulnerability scanning in CI/CD pipeline

# .github/workflows/security.yml
name: Security Audit
on: [push, pull_request]
jobs:
  audit:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Audit npm packages
        run: npm audit --audit-level moderate
      - name: Audit Python packages
        run: pip-audit

# ESLint security rules
{
  "extends": ["@typescript-eslint/recommended", "plugin:security/recommended"],
  "plugins": ["security"],
  "rules":
    {
      "security/detect-object-injection": "error",
      "security/detect-non-literal-regexp": "error"
    }
}

# Regular security scans
npm audit --audit-level moderate
pip-audit
bandit -r apps/api/  # Python security linter

• Authentication bypass attempts
• SQL injection testing
• XSS vulnerability testing
• CSRF protection verification
• Authorization bypass testing
• File upload security testing
• API rate limiting testing
• Session management testing

// Example security test
describe("Authentication Security", () => {
  it("should prevent access to protected routes without auth", async () => {
    const response = await fetch("/api/user/profile");
    expect(response.status).toBe(401);
  });

  it("should validate JWT tokens properly", async () => {
    const invalidToken = "invalid.jwt.token";
    const response = await fetch("/api/user/profile", {
      headers: { Authorization: `Bearer ${invalidToken}` }
    });
    expect(response.status).toBe(401);
  });
});

// Example security event logging
export function logSecurityEvent(event: SecurityEvent) {
  console.log(
    JSON.stringify({
      timestamp: new Date().toISOString(),
      type: "SECURITY_EVENT",
      severity: event.severity,
      description: event.description,
      userAgent: event.userAgent,
      ip: event.ip,
      userId: event.userId
    })
  );
}

• Critical: Data breach, authentication bypass, remote code execution
• High: Privilege escalation, sensitive data exposure
• Medium: Denial of service, information disclosure
• Low: Security misconfigurations, minor vulnerabilities

1. Detection & Analysis

   • Monitor security alerts and logs
   • Validate and classify the incident
   • Assess impact and scope

2. Containment

   • Isolate affected systems
   • Preserve evidence
   • Implement temporary fixes

3. Eradication & Recovery

   • Remove threat completely
   • Apply permanent fixes
   • Restore normal operations

4. Post-Incident Activities

   • Document lessons learned
   • Update security procedures
   • Conduct post-mortem review

• Security Team: [email protected]
• Development Team: [email protected]
• Infrastructure: [email protected]

• OWASP Top 10: Regular training on common web vulnerabilities
• Secure Coding: Guidelines for secure development practices
• Privacy Regulations: GDPR, CCPA compliance training

• ESLint Security Plugin: Automated security linting
• Bandit: Python security static analysis
• npm audit: Dependency vulnerability scanning
• git-secrets: Prevent committing secrets

• Supabase Dashboard: Real-time security monitoring
• Log Analysis: Security event correlation
• Uptime Monitoring: Service availability tracking

• OWASP Web Security Testing Guide
• NIST Cybersecurity Framework
• Node.js Security Best Practices
• FastAPI Security Documentation
• Supabase Security Documentation

This security policy is reviewed and updated quarterly. Major changes will be communicated through:

• GitHub releases and changelogs
• Security advisory notifications
• Developer documentation updates

For questions about this security policy, please contact our security team or create a discussion in the repository.