TypeAuth provides robust security features to protect your application from various types of fraud and abuse. This comprehensive suite of tools helps maintain the integrity of your authentication system and safeguard your users.

Features Overview

Global Rate Limiting

TypeAuth implements intelligent rate limiting across your entire application to prevent brute force attacks and abuse.

Configuration

const typeAuth = new TypeAuth({
  rateLimit: {
    maxRequests: 100,
    windowMs: 15 * 60 * 1000, // 15 minutes
    skipSuccessfulRequests: false
  }
});

Key Features

  • Flexible Window Sizes: Configure time windows from seconds to days
  • Custom Throttling Rules: Set different limits for specific endpoints or user types
  • IP-based Tracking: Automatically detect and block suspicious IP patterns
  • Burst Protection: Handle sudden spikes in traffic appropriately

Disposable Email Detection

Prevent registration abuse by detecting and blocking disposable email addresses.

Usage

const typeAuth = new TypeAuth({
  emailSecurity: {
    blockDisposableEmails: true,
    customBlockList: ['example-disposable.com'],
    allowList: ['legitimate-temporary.com']
  }
});

Features

  • Real-time Validation: Check emails against constantly updated database
  • Custom Rules: Add your own blocked/allowed domains
  • Comprehensive Database: Access to 100,000+ known disposable email providers
  • API Integration: Easy integration with existing email validation workflows

Geo Sentry

Monitor and protect against suspicious geographic access patterns.

Configuration

const typeAuth = new TypeAuth({
  geoSentry: {
    enabled: true,
    suspiciousCountries: ['XX', 'YY'],
    requireVerification: true,
    notifyOnChange: true
  }
});

Capabilities

  • Token Geography Tracking: Monitor authentication tokens across different locations
  • Velocity Checking: Detect impossibly fast geographic movements
  • Risk Scoring: Assign risk levels to different geographic patterns
  • Custom Rules: Set specific policies for different regions
  • 2FA Triggers: Automatically require additional verification for suspicious locations

Anomaly Detection

Advanced machine learning-based system to identify suspicious patterns and potential security threats.

Implementation

const typeAuth = new TypeAuth({
  anomalyDetection: {
    enabled: true,
    sensitivity: 'medium',
    autoBlock: false,
    notificationThreshold: 0.7
  }
});

Key Features

  • Behavioral Analysis: Monitor and learn from normal user patterns
  • Multiple Detection Vectors:
    • Login time patterns
    • Device fingerprinting
    • Network characteristics
    • User interaction patterns
  • Customizable Alerts: Set different notification thresholds
  • Automatic Response: Configure automated actions for detected anomalies

Best Practices

  1. Start Conservative: Begin with less restrictive settings and adjust based on your needs
  2. Monitor False Positives: Regularly review blocked attempts for legitimate users
  3. Layer Security: Use multiple features together for comprehensive protection
  4. Regular Updates: Keep your TypeAuth installation updated for the latest security definitions

Example Implementation

import { TypeAuth } from 'typeauth';

const security = new TypeAuth({
  rateLimit: {
    maxRequests: 100,
    windowMs: 900000, // 15 minutes
  },
  emailSecurity: {
    blockDisposableEmails: true,
  },
  geoSentry: {
    enabled: true,
    notifyOnChange: true,
  },
  anomalyDetection: {
    enabled: true,
    sensitivity: 'medium',
  }
});

// Apply middleware to your application
app.use(security.protect());

Error Handling

TypeAuth provides detailed error codes and messages for different types of security violations:

try {
  await auth.validateRequest(request);
} catch (error) {
  if (error.code === 'RATE_LIMIT_EXCEEDED') {
    // Handle rate limiting
  } else if (error.code === 'SUSPICIOUS_LOCATION') {
    // Handle suspicious geographic activity
  } else if (error.code === 'DISPOSABLE_EMAIL') {
    // Handle disposable email attempt
  }
}

Additional Resources