Status: ✅ PASSED - No vulnerabilities detected
Scan Date: December 17, 2025
Tool: CodeQL Security Analysis
Languages Scanned: Python, JavaScript/TypeScript
- Python: 0 alerts
- JavaScript: 0 alerts
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No Hardcoded Secrets
- All sensitive values use environment variables
.env.examplefiles provided (without actual credentials)- Neo4j password configurable via environment
-
Input Validation
- Pydantic models validate all API inputs
- TypeScript provides compile-time type safety
- FastAPI automatic request validation
-
Dependencies
- Modern, maintained package versions
- Regular security updates recommended
- Minimal dependency footprint
-
API Security
- CORS configured (currently permissive for demo)
- Type-safe request/response handling
- Error handling without information leakage
For production deployment, implement these additional security measures:
# Add to FastAPI
from fastapi.security import OAuth2PasswordBearer
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
@app.get("/api/protected")
async def protected_route(token: str = Depends(oauth2_scheme)):
# Verify token
pass# Restrict CORS to specific origins
app.add_middleware(
CORSMiddleware,
allow_origins=["https://yourdomain.com"],
allow_credentials=True,
allow_methods=["GET", "POST", "PUT", "DELETE"],
allow_headers=["*"],
)- Change default Neo4j credentials
- Use strong passwords (minimum 16 characters)
- Enable Neo4j authentication
- Use SSL/TLS for database connections
- Implement connection pooling limits
- Use HTTPS/TLS for all connections
- Implement rate limiting
- Add request size limits
- Use reverse proxy (nginx)
- Configure firewall rules
# Encrypt sensitive data at rest
from cryptography.fernet import Fernet
key = os.getenv("ENCRYPTION_KEY")
cipher = Fernet(key)
encrypted_data = cipher.encrypt(data.encode())# Use secrets management
# Example with Docker secrets
docker secret create neo4j_password password.txtfrom fastapi.middleware.trustedhost import TrustedHostMiddleware
from fastapi.middleware.httpsredirect import HTTPSRedirectMiddleware
app.add_middleware(TrustedHostMiddleware, allowed_hosts=["yourdomain.com"])
app.add_middleware(HTTPSRedirectMiddleware)from pydantic import validator
class UserInput(BaseModel):
text: str
@validator('text')
def sanitize_text(cls, v):
# Remove potential XSS or injection attempts
return v.strip().replace('<', '').replace('>', '')-
Never commit secrets
- Use
.gitignorefor sensitive files - Review commits before pushing
- Use git-secrets or similar tools
- Use
-
Keep dependencies updated
pip list --outdated npm audit
-
Regular security scans
# Python pip install safety safety check # JavaScript npm audit
-
Code review
- Review all code changes
- Check for security issues
- Validate input handling
-
Logging and monitoring
- Log security events
- Monitor for suspicious activity
- Set up alerts
This is a demonstration version with the following security limitations:
- No Authentication: API endpoints are publicly accessible
- Default Credentials: Neo4j uses default demo password
- Permissive CORS: Allows requests from any origin
- No Rate Limiting: No protection against abuse
- HTTP Only: No TLS/SSL encryption
- No Data Encryption: Data stored in plaintext
- Debug Mode: Verbose error messages exposed
If you discover a security vulnerability in this project:
- Do not open a public issue
- Email security details to the maintainer
- Allow reasonable time for response
- Coordinate public disclosure
- Change all default passwords
- Implement authentication (OAuth2/JWT)
- Configure CORS properly
- Enable HTTPS/TLS
- Add rate limiting
- Implement request logging
- Set up monitoring and alerts
- Regular dependency updates
- Security audit
- Penetration testing
- Data encryption at rest and in transit
- Backup and disaster recovery plan
- Incident response plan
Depending on your use case, you may need to comply with:
- GDPR: If handling EU personal data
- HIPAA: If handling health information
- SOC 2: For enterprise customers
- PCI DSS: If processing payments
Last Updated: December 17, 2025
Next Review: Recommended every 90 days or after major changes