|
| 1 | +# Security Policy |
| 2 | + |
| 3 | +## Supported Versions |
| 4 | + |
| 5 | +We release patches for security vulnerabilities in the following versions: |
| 6 | + |
| 7 | +| Version | Supported | |
| 8 | +| ------- | ------------------ | |
| 9 | +| 1.x.x | :white_check_mark: | |
| 10 | +| < 1.0 | :x: | |
| 11 | + |
| 12 | +## Reporting a Vulnerability |
| 13 | + |
| 14 | +We take the security of DataSpace Backend seriously. If you believe you have found a security vulnerability, please report it to us as described below. |
| 15 | + |
| 16 | +### How to Report |
| 17 | + |
| 18 | +**Please do not report security vulnerabilities through public GitHub issues.** |
| 19 | + |
| 20 | +Instead, please report them via email to: |
| 21 | + |
| 22 | +- **Subject**: [SECURITY] DataSpace Backend - Brief Description |
| 23 | + |
| 24 | +You should receive a response within 48 hours. If for some reason you do not, please follow up via email to ensure we received your original message. |
| 25 | + |
| 26 | +### What to Include |
| 27 | + |
| 28 | +Please include the following information in your report: |
| 29 | + |
| 30 | +- Type of vulnerability (e.g., SQL injection, authentication bypass, privilege escalation, etc.) |
| 31 | +- Full paths of source file(s) related to the vulnerability |
| 32 | +- The location of the affected source code (tag/branch/commit or direct URL) |
| 33 | +- Step-by-step instructions to reproduce the issue |
| 34 | +- Proof-of-concept or exploit code (if possible) |
| 35 | +- Impact of the issue, including how an attacker might exploit it |
| 36 | + |
| 37 | +### Response Process |
| 38 | + |
| 39 | +1. **Acknowledgment**: We will acknowledge receipt of your vulnerability report within 48 hours |
| 40 | +2. **Assessment**: Our security team will investigate and assess the vulnerability |
| 41 | +3. **Updates**: We will keep you informed about the progress of fixing the vulnerability |
| 42 | +4. **Resolution**: Once fixed, we will notify you and publicly disclose the vulnerability (with credit to you, if desired) |
| 43 | + |
| 44 | +## Security Best Practices |
| 45 | + |
| 46 | +### For Contributors |
| 47 | + |
| 48 | +When contributing to this project, please follow these security guidelines: |
| 49 | + |
| 50 | +#### Authentication & Authorization |
| 51 | +- Never commit credentials, API keys, or secrets to the repository |
| 52 | +- Use environment variables for all sensitive configuration (`.env` file) |
| 53 | +- Implement proper permission checks for all API endpoints |
| 54 | +- Validate Keycloak tokens on every protected endpoint |
| 55 | +- Use role-based access control (RBAC) appropriately |
| 56 | +- Never bypass authentication checks, even in development |
| 57 | + |
| 58 | +#### Data Protection |
| 59 | +- Always use parameterized queries to prevent SQL injection |
| 60 | +- Sanitize and validate all user inputs |
| 61 | +- Encrypt sensitive data at rest and in transit |
| 62 | +- Never log sensitive information (passwords, tokens, PII) |
| 63 | +- Implement proper data access controls |
| 64 | +- Use Django's built-in security features |
| 65 | + |
| 66 | +#### API Security |
| 67 | +- Validate all GraphQL queries and mutations |
| 68 | +- Implement proper rate limiting |
| 69 | +- Use CORS policies appropriately |
| 70 | +- Validate file uploads (type, size, content) |
| 71 | +- Implement proper error handling without exposing sensitive details |
| 72 | +- Use HTTPS only in production |
| 73 | + |
| 74 | +#### Dependencies |
| 75 | +- Regularly update dependencies to patch known vulnerabilities |
| 76 | +- Run security audits before deploying |
| 77 | +- Review security advisories for critical dependencies |
| 78 | +- Pin dependency versions in requirements.txt |
| 79 | +- Use virtual environments for isolation |
| 80 | + |
| 81 | +#### Code Quality |
| 82 | +- Follow Django security best practices |
| 83 | +- Use Django's ORM to prevent SQL injection |
| 84 | +- Implement CSRF protection for state-changing operations |
| 85 | +- Validate and sanitize all user-generated content |
| 86 | +- Use type hints and static analysis (mypy) |
| 87 | +- Follow the principle of least privilege |
| 88 | + |
| 89 | +### For Deployment |
| 90 | + |
| 91 | +#### Environment Configuration |
| 92 | +- Use strong, unique `SECRET_KEY` in production |
| 93 | +- Configure Keycloak with proper security settings |
| 94 | +- Enable HTTPS and HSTS in production |
| 95 | +- Set `DEBUG=False` in production |
| 96 | +- Configure proper database credentials |
| 97 | +- Use secure session and cookie settings |
| 98 | +- Set appropriate CORS and CSRF settings |
| 99 | + |
| 100 | +#### Database Security |
| 101 | +- Use strong database passwords |
| 102 | +- Limit database user permissions |
| 103 | +- Enable SSL/TLS for database connections |
| 104 | +- Regular database backups |
| 105 | +- Implement proper data retention policies |
| 106 | +- Use connection pooling securely |
| 107 | + |
| 108 | +#### Infrastructure |
| 109 | +- Keep Python and system packages updated |
| 110 | +- Use security headers (HSTS, X-Frame-Options, CSP, etc.) |
| 111 | +- Implement rate limiting at multiple levels |
| 112 | +- Regular security audits and penetration testing |
| 113 | +- Monitor for suspicious activity |
| 114 | +- Use a Web Application Firewall (WAF) |
| 115 | + |
| 116 | +#### Monitoring & Logging |
| 117 | +- Enable OpenTelemetry for distributed tracing |
| 118 | +- Implement structured logging with `structlog` |
| 119 | +- Monitor for security events and anomalies |
| 120 | +- Set up alerts for critical security issues |
| 121 | +- Regular log analysis |
| 122 | +- Exclude sensitive data from logs |
| 123 | + |
| 124 | +## Known Security Considerations |
| 125 | + |
| 126 | +### Authentication System |
| 127 | +- **Keycloak Integration**: All authentication is handled through Keycloak |
| 128 | +- **Token Validation**: JWT tokens are validated on every request |
| 129 | +- **No Development Bypass**: No fallback authentication mechanisms |
| 130 | +- **User Synchronization**: User data synced from Keycloak using KeycloakAdmin |
| 131 | +- **Session Management**: Follows OWASP session management guidelines |
| 132 | + |
| 133 | +### API Security |
| 134 | +- **GraphQL**: Implements query complexity limits and depth restrictions |
| 135 | +- **REST API**: Rate limiting and throttling enabled |
| 136 | +- **File Uploads**: Validated for type, size, and content |
| 137 | +- **Data Versioning**: DVC integration for data versioning and tracking |
| 138 | + |
| 139 | +### Data Protection |
| 140 | +- **Encryption**: All data encrypted in transit (TLS 1.2+) |
| 141 | +- **Database**: PostgreSQL with proper access controls |
| 142 | +- **Search**: Elasticsearch with authentication enabled |
| 143 | +- **Caching**: Redis with secure configuration |
| 144 | +- **File Storage**: Secure file handling and validation |
| 145 | + |
| 146 | +### Third-Party Services |
| 147 | +- **Keycloak**: Ensure proper realm and client configuration |
| 148 | +- **Elasticsearch**: Enable security features and authentication |
| 149 | +- **Redis**: Use password protection and disable dangerous commands |
| 150 | +- **OpenTelemetry**: Configure to exclude sensitive data |
| 151 | +- **DVC**: Secure data versioning and storage |
| 152 | + |
| 153 | +## Security Checklist for Pull Requests |
| 154 | + |
| 155 | +Before submitting a PR, ensure: |
| 156 | + |
| 157 | +- [ ] No hardcoded secrets or credentials |
| 158 | +- [ ] All user inputs are validated and sanitized |
| 159 | +- [ ] SQL injection prevention (use ORM or parameterized queries) |
| 160 | +- [ ] Authentication and authorization checks are in place |
| 161 | +- [ ] Dependencies are up to date and audited |
| 162 | +- [ ] Error messages don't expose sensitive information |
| 163 | +- [ ] Rate limiting is implemented where needed |
| 164 | +- [ ] CORS and CSRF policies are properly configured |
| 165 | +- [ ] Type hints are used and mypy checks pass |
| 166 | +- [ ] Security-related changes are documented |
| 167 | +- [ ] Tests include security scenarios |
| 168 | + |
| 169 | +## Common Vulnerabilities to Avoid |
| 170 | + |
| 171 | +### SQL Injection |
| 172 | +```python |
| 173 | +# ❌ Bad - Vulnerable to SQL injection |
| 174 | +User.objects.raw(f"SELECT * FROM users WHERE username = '{username}'") |
| 175 | + |
| 176 | +# ✅ Good - Use ORM or parameterized queries |
| 177 | +User.objects.filter(username=username) |
| 178 | +``` |
| 179 | + |
| 180 | +### XSS Prevention |
| 181 | +```python |
| 182 | +# ❌ Bad - Unescaped user input |
| 183 | +return HttpResponse(f"<h1>Hello {user_input}</h1>") |
| 184 | + |
| 185 | +# ✅ Good - Use Django templates or escape manually |
| 186 | +from django.utils.html import escape |
| 187 | +return HttpResponse(f"<h1>Hello {escape(user_input)}</h1>") |
| 188 | +``` |
| 189 | + |
| 190 | +### Authentication Bypass |
| 191 | +```python |
| 192 | +# ❌ Bad - Skipping authentication |
| 193 | +if settings.DEBUG: |
| 194 | + return True # Allow access in debug mode |
| 195 | + |
| 196 | +# ✅ Good - Always validate authentication |
| 197 | +if not request.user.is_authenticated: |
| 198 | + raise PermissionDenied() |
| 199 | +``` |
| 200 | + |
| 201 | +### Insecure Direct Object References |
| 202 | +```python |
| 203 | +# ❌ Bad - No authorization check |
| 204 | +dataset = Dataset.objects.get(id=dataset_id) |
| 205 | + |
| 206 | +# ✅ Good - Check user permissions |
| 207 | +dataset = Dataset.objects.get(id=dataset_id) |
| 208 | +if not user.has_perm('view_dataset', dataset): |
| 209 | + raise PermissionDenied() |
| 210 | +``` |
| 211 | + |
| 212 | +## Vulnerability Disclosure Policy |
| 213 | + |
| 214 | +When we receive a security bug report, we will: |
| 215 | + |
| 216 | +1. Confirm the problem and determine affected versions |
| 217 | +2. Audit code to find similar problems |
| 218 | +3. Prepare fixes for all supported versions |
| 219 | +4. Release new versions as soon as possible |
| 220 | +5. Prominently announce the issue in release notes |
| 221 | +6. Update this security policy if needed |
| 222 | + |
| 223 | +## Security Updates |
| 224 | + |
| 225 | +Security updates will be released as patch versions and will be clearly marked in the release notes. |
| 226 | + |
| 227 | +Subscribe to our GitHub releases to stay informed about security updates. |
| 228 | + |
| 229 | +## Security Testing |
| 230 | + |
| 231 | +We recommend the following security testing practices: |
| 232 | + |
| 233 | +### Static Analysis |
| 234 | +```bash |
| 235 | +# Run mypy for type checking |
| 236 | +mypy . |
| 237 | + |
| 238 | +# Run flake8 for code quality |
| 239 | +flake8 . |
| 240 | + |
| 241 | +# Run bandit for security issues |
| 242 | +bandit -r api/ authorization/ search/ |
| 243 | +``` |
| 244 | + |
| 245 | +### Dependency Scanning |
| 246 | +```bash |
| 247 | +# Check for known vulnerabilities |
| 248 | +pip-audit |
| 249 | + |
| 250 | +# Or use safety |
| 251 | +safety check |
| 252 | +``` |
| 253 | + |
| 254 | +### Pre-commit Hooks |
| 255 | +We use pre-commit hooks to enforce security checks. Install them with: |
| 256 | +```bash |
| 257 | +pre-commit install |
| 258 | +``` |
| 259 | + |
| 260 | +## Compliance |
| 261 | + |
| 262 | +This project aims to comply with: |
| 263 | +- OWASP Top 10 security risks |
| 264 | +- GDPR data protection requirements |
| 265 | +- Industry-standard security practices |
| 266 | +- Django security best practices |
| 267 | + |
| 268 | +## Additional Resources |
| 269 | + |
| 270 | +- [OWASP Top 10](https://owasp.org/www-project-top-ten/) |
| 271 | +- [Django Security Documentation](https://docs.djangoproject.com/en/stable/topics/security/) |
| 272 | +- [GraphQL Security Best Practices](https://cheatsheetseries.owasp.org/cheatsheets/GraphQL_Cheat_Sheet.html) |
| 273 | +- [Keycloak Security Documentation](https://www.keycloak.org/docs/latest/server_admin/) |
| 274 | +- [Python Security Best Practices](https://python.readthedocs.io/en/stable/library/security_warnings.html) |
| 275 | + |
| 276 | +## Security Contacts |
| 277 | + |
| 278 | +For any security-related questions or concerns, please contact: |
| 279 | + |
| 280 | +- **GitHub**: [CivicDataLab/DataSpaceBackend](https://github.com/CivicDataLab/DataSpaceBackend) |
| 281 | + |
| 282 | +## Security Incident Response |
| 283 | + |
| 284 | +In case of a security incident: |
| 285 | + |
| 286 | +1. **Immediate Response**: Isolate affected systems |
| 287 | +2. **Assessment**: Determine scope and impact |
| 288 | +3. **Containment**: Prevent further damage |
| 289 | +4. **Eradication**: Remove the threat |
| 290 | +5. **Recovery**: Restore normal operations |
| 291 | +6. **Post-Incident**: Document and learn from the incident |
| 292 | + |
| 293 | +--- |
| 294 | + |
| 295 | +Last Updated: October 2025 |
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