Skip to content

Security: VoxHash/ForexSmartBot

Security

docs/SECURITY.md

Security Best Practices - ForexSmartBot v3.1.0

Security guidelines for using ForexSmartBot in production.

πŸ”’ General Security

1. Credential Management

❌ Never hardcode credentials:

# BAD api_key = "sk-1234567890abcdef" password = "mypassword"

βœ… Use environment variables:

# GOOD import os api_key = os.getenv('API_KEY') password = os.getenv('PASSWORD')

βœ… Use .env files:

# .env file (not in git) API_KEY=sk-1234567890abcdef PASSWORD=mypassword # In code from dotenv import load_dotenv load_dotenv() api_key = os.getenv('API_KEY')

2. File Permissions

Set appropriate file permissions:

# Configuration files chmod 600 config/secrets.json # Log files chmod 644 logs/*.log # Scripts chmod 755 scripts/*.py

3. Input Validation

Always validate user input:

def validate_symbol(symbol: str) -> bool: """Validate trading symbol.""" if not symbol or len(symbol) > 20: return False # Check format if not re.match(r'^[A-Z]{3,6}(=X)?$', symbol): return False return True # Use validation if not validate_symbol(user_input): raise ValueError("Invalid symbol")

4. SQL Injection Prevention

If using databases, use parameterized queries:

# BAD query = f"SELECT * FROM trades WHERE symbol = '{symbol}'" # GOOD query = "SELECT * FROM trades WHERE symbol = ?" cursor.execute(query, (symbol,))

πŸ” API Security

1. API Keys

Store securely:

# Use keyring for secure storage import keyring # Store keyring.set_password("forexsmartbot", "api_key", api_key) # Retrieve api_key = keyring.get_password("forexsmartbot", "api_key")

2. Rate Limiting

Implement rate limiting:

from functools import wraps import time def rate_limit(calls_per_second): min_interval = 1.0 / calls_per_second last_called = [0.0] def decorator(func): @wraps(func) def wrapper(*args, **kwargs): elapsed = time.time() - last_called[0] left_to_wait = min_interval - elapsed if left_to_wait > 0: time.sleep(left_to_wait) ret = func(*args, **kwargs) last_called[0] = time.time() return ret return wrapper return decorator @rate_limit(10) # 10 calls per second def api_call(): # Your API call pass

3. HTTPS Only

Always use HTTPS for API calls:

# GOOD url = "https://api.example.com/data" # BAD url = "http://api.example.com/data" # Insecure

πŸ›‘οΈ Data Security

1. Sensitive Data Encryption

Encrypt sensitive data:

from cryptography.fernet import Fernet # Generate key (store securely) key = Fernet.generate_key() cipher = Fernet(key) # Encrypt encrypted = cipher.encrypt(b"sensitive data") # Decrypt decrypted = cipher.decrypt(encrypted)

2. Data Sanitization

Sanitize data before storage:

import html # Sanitize user input user_input = html.escape(user_input) # Validate data types if not isinstance(value, (int, float)): raise TypeError("Invalid data type")

3. Secure File Storage

Use secure file storage:

import os import stat # Create secure file with open('secrets.json', 'w') as f: f.write(secrets) # Set permissions os.chmod('secrets.json', stat.S_IRUSR | stat.S_IWUSR) # 600

πŸ”‘ Authentication & Authorization

1. Password Security

Use strong passwords:

import secrets import string def generate_password(length=16): """Generate secure random password.""" alphabet = string.ascii_letters + string.digits + string.punctuation return ''.join(secrets.choice(alphabet) for _ in range(length))

2. Token Management

Use secure tokens:

import secrets # Generate secure token token = secrets.token_urlsafe(32) # Store securely (not in code) # Use environment variables or secure storage

3. Session Management

Secure session handling:

import secrets from datetime import datetime, timedelta class Session: def __init__(self, user_id): self.user_id = user_id self.token = secrets.token_urlsafe(32) self.expires = datetime.now() + timedelta(hours=1) def is_valid(self): return datetime.now() < self.expires

🚨 Error Handling

1. Don't Expose Sensitive Information

❌ Bad error messages:

# BAD raise Exception(f"API key {api_key} is invalid")

βœ… Safe error messages:

# GOOD raise ValueError("Invalid API credentials")

2. Logging Security

Don't log sensitive data:

# BAD logger.info(f"API key: {api_key}") # GOOD logger.info("API authentication successful")

3. Exception Handling

Handle exceptions securely:

try: # Sensitive operation result = process_data(data) except Exception as e: # Log error without sensitive data logger.error(f"Processing failed: {type(e).__name__}") # Don't expose stack traces in production if DEBUG_MODE: raise else: return None

πŸ” Security Auditing

1. Dependency Scanning

Scan for vulnerabilities:

# Using pip-audit pip install pip-audit pip-audit # Using safety pip install safety safety check

2. Code Analysis

Use security linters:

# Bandit for security issues pip install bandit bandit -r forexsmartbot/ # Pylint security checks pylint --enable=security forexsmartbot/

3. Regular Updates

Keep dependencies updated:

# Check for updates pip list --outdated # Update securely pip install --upgrade package-name

πŸ›‘οΈ Network Security

1. Firewall Configuration

Restrict network access:

  • Only allow necessary ports
  • Block unnecessary services
  • Use VPN for remote access

2. SSL/TLS

Always use encrypted connections:

import ssl # Verify SSL certificates context = ssl.create_default_context() context.check_hostname = True context.verify_mode = ssl.CERT_REQUIRED

3. Network Monitoring

Monitor network activity:

import logging # Log network requests logging.basicConfig(level=logging.INFO) logger = logging.getLogger('requests') logger.setLevel(logging.INFO)

πŸ” Marketplace Security

1. Strategy Validation

Validate strategies before sharing:

from forexsmartbot.builder import StrategyBuilder builder = StrategyBuilder() # ... build strategy ... # Validate before sharing is_valid, errors = builder.validate_strategy() if not is_valid: raise ValueError(f"Strategy validation failed: {errors}")

2. Code Review

Review shared strategies:

  • Check for malicious code
  • Verify functionality
  • Test thoroughly
  • Review dependencies

3. Sandbox Execution

Run strategies in sandbox:

# Use restricted execution environment # (Future feature: Strategy sandbox)

πŸ”’ Production Deployment

1. Environment Separation

Separate environments:

  • Development
  • Staging
  • Production

Use different credentials for each:

ENV = os.getenv('ENVIRONMENT', 'development') if ENV == 'production': api_key = os.getenv('PROD_API_KEY') else: api_key = os.getenv('DEV_API_KEY')

2. Access Control

Implement access control:

def require_permission(permission): def decorator(func): @wraps(func) def wrapper(*args, **kwargs): if not has_permission(permission): raise PermissionError("Access denied") return func(*args, **kwargs) return wrapper return decorator @require_permission('trade') def execute_trade(): # Trading logic pass

3. Audit Logging

Log all sensitive operations:

import logging audit_logger = logging.getLogger('audit') def log_trade(trade_details): audit_logger.info(f"Trade executed: {trade_details}") # Don't log sensitive data like API keys

πŸ“‹ Security Checklist

Pre-Deployment

  • All credentials in environment variables
  • No hardcoded secrets
  • Dependencies scanned for vulnerabilities
  • Code reviewed for security issues
  • SSL/TLS enabled
  • Firewall configured
  • Access control implemented
  • Audit logging enabled

Runtime

  • Monitor for suspicious activity
  • Regular security updates
  • Backup encryption enabled
  • Log rotation configured
  • Error messages don't expose sensitive data

Post-Deployment

  • Regular security audits
  • Dependency updates
  • Access review
  • Incident response plan
  • Security monitoring

🚨 Incident Response

If Security Breach Suspected

  1. Immediately:

    • Disable affected accounts
    • Revoke compromised credentials
    • Isolate affected systems
  2. Investigate:

    • Review logs
    • Identify scope
    • Document findings
  3. Remediate:

    • Fix vulnerabilities
    • Update credentials
    • Patch systems
  4. Notify:

    • Affected users
    • Security team
    • Authorities (if required)

πŸ“š Additional Resources


Remember: Security is an ongoing process, not a one-time setup.

There aren’t any published security advisories