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Protect against bots and DDoS attacks

Project description

flask-Humanify

A strong bot protection system for Flask with many features: rate limiting, special rules for users, web crawler detection, and automatic bot detection.

Github PyPI Libraries.io


from flask import Flask
from flask_humanify import Humanify

app = Flask(__name__)
humanify = Humanify(app, challenge_type="one_click", image_dataset="ai_dogs")

# Register the middleware to deny access to bots
humanify.register_middleware(app, action="challenge")

@app.route("/")
def index():
    """
    A route that is protected against bots and DDoS attacks.
    """
    return "Hello, Human!"

if __name__ == "__main__":
    app.run()

Advanced Protection Rules

You can customize bot protection with advanced filtering rules:

# Protect specific endpoints with regex patterns
humanify.register_middleware(
    app,
    action="challenge",
    endpoint_patterns=["api.*", "admin.*"]  # Protect all API and admin endpoints
)

# Protect specific URL paths
humanify.register_middleware(
    app,
    action="deny_access",
    url_patterns=["/sensitive/*", "/admin/*"]  # Deny bot access to sensitive areas
)

# Exclude certain patterns from protection
humanify.register_middleware(
    app,
    endpoint_patterns=["api.*"],
    exclude_patterns=["api.public.*"]  # Don't protect public API endpoints
)

# Filter by request parameters
humanify.register_middleware(
    app,
    request_filters={
        "method": ["POST", "PUT", "DELETE"],  # Only protect write operations
        "args.admin": "true",                # Only when admin=true query parameter exists
        "headers.content-type": "regex:application/json.*"  # Match content type with regex
    }
)

Route-Level Protection with Decorators

Flask-Humanify provides powerful decorators for fine-grained bot protection on specific routes:

@require_human(action="challenge")

Protects a route by challenging suspected bots with a captcha.

from flask_humanify import require_human

@app.route("/protected")
@require_human()
def protected():
    return "Only humans can access this"

@app.route("/strict")
@require_human(action="deny_access")
def strict():
    return "Bots are blocked without a challenge"

Parameters:

  • action (str): Action to take when a bot is detected
    • "challenge" (default): Show captcha challenge
    • "deny_access": Block access immediately

@always_challenge

Forces all visitors (including humans) to solve a captcha before accessing the route.

from flask_humanify import always_challenge

@app.route("/sensitive")
@always_challenge
def sensitive():
    return "Everyone must solve a captcha"

@block_bots

Immediately blocks all detected bots without showing a captcha challenge.

from flask_humanify import block_bots

@app.route("/no-bots")
@block_bots
def no_bots():
    return "Bots cannot access this route"

@exempt_from_protection

Exempts a route from all Humanify protection, including middleware rules.

from flask_humanify import exempt_from_protection

@app.route("/public-api")
@exempt_from_protection
def public_api():
    return {"data": "No bot protection on this endpoint"}

Decorator Priority

When both middleware and decorators are used:

  1. @exempt_from_protection - Highest priority, bypasses all protection
  2. Route-specific decorators - Override middleware settings for that route
  3. Middleware rules - Apply to routes without decorators

Usage

Installation

Install the package with pip:

pip install flask-humanify --upgrade

Optional: Enhanced Security with re2

For better performance and protection against ReDoS (Regular Expression Denial of Service) attacks, install the google-re2 library:

pip install google-re2

Flask-Humanify will automatically use re2 if available, providing:

  • Guaranteed linear-time regex execution (no catastrophic backtracking)
  • Better performance with complex patterns
  • Enhanced security when using custom endpoint_patterns, url_patterns, or request_filters

The library works without re2, but installing it is recommended for production environments.

Basic Setup

from flask import Flask
from flask_humanify import Humanify

app = Flask(__name__)
humanify = Humanify(app)

Configuration Options

Humanify can be configured with various options to customize bot detection and challenge behavior:

humanify = Humanify(
    app,
    challenge_type="one_click",    # Challenge type: "grid" or "one_click"
    image_dataset="ai_dogs",       # Image dataset: "ai_dogs", "animals", "characters", "keys"
    audio_dataset=None,            # Enable audio challenges: "characters" or None
    retrys=3,                      # Maximum failed attempts before blocking
    hardness=1,                    # Challenge difficulty: 1 (easy) to 5 (hard)
    behind_proxy=False,            # Set True if behind a proxy/load balancer
    use_client_id=False            # Use secure client IDs instead of IP addresses
)

Configuration Parameters:

  • challenge_type: Type of visual challenge

    • "one_click": Select one matching image from a grid (easier, faster)
    • "grid": Select multiple matching images from a 3x3 grid (harder)
  • image_dataset: Dataset for image challenges

    • "ai_dogs": AI-generated dog images
    • "animals": Various animal images
    • "characters": Character/letter recognition
    • "keys": Key/lock matching
  • audio_dataset: Enable audio accessibility challenges

    • None: Disabled (default)
    • "characters": Audio character recognition in multiple languages
  • retrys: Number of failed attempts before temporary block (default: 3)

  • hardness: Challenge difficulty level (1-5)

    • 1: Easy - minimal distortion
    • 3: Medium - moderate distortion
    • 5: Hard - maximum distortion
  • behind_proxy: Enable when behind reverse proxy/load balancer

    • Automatically configures ProxyFix for correct IP detection
  • use_client_id: Use secure client IDs instead of IP addresses

    • Better for privacy and shared IP scenarios
    • Stored in secure HTTP-only cookies

Additional Features

Rate Limiting

Flask-Humanify includes a powerful rate limiting feature to protect your application from excessive requests:

from flask import Flask
from flask_humanify import Humanify, RateLimiter

app = Flask(__name__)
humanify = Humanify(app)

# Initialize with default limits (10 requests per 10 seconds)
rate_limiter = RateLimiter(app)

# Or use human-readable limit strings
rate_limiter = RateLimiter(app, default_limit="100/day")

# Configure client tracking (defaults to IP-based)
rate_limiter = RateLimiter(
    app,
    default_limit="10/minute",
    use_client_id=True,     # Use secure client IDs instead of IPs
    behind_proxy=True       # Enable if behind a proxy/load balancer
)

Route-Specific Rate Limits

You can set different rate limits for specific routes or patterns:

# Using decorator syntax
@app.route("/api/data")
@rate_limiter.limit("5/minute")  # Limit specific route
def get_data():
    return "data"

# Using pattern matching
rate_limiter.set_route_limit("/api/*", "100/hour")      # All API routes
rate_limiter.set_route_limit("/admin/<id>", "5/minute") # Admin routes

# Exempt routes from rate limiting
@app.route("/health")
@rate_limiter.exempt
def health_check():
    return "OK"

Advanced Usage

The rate limiter provides methods for managing and monitoring rate limits:

# Reset rate limits for a client
rate_limiter.reset_client("client_id")                  # Reset all routes
rate_limiter.reset_client("client_id", "/api/data:GET") # Reset specific route

# Get client statistics
stats = rate_limiter.get_client_stats("client_id")
"""
Returns:
{
    "route:method": {
        "current_requests": 5,
        "next_reset": 1629123456.78
    }
}
"""

# Check rate limits programmatically
if rate_limiter.is_rate_limited():
    return "Too many requests!"

Features:

  • Flexible rate limit formats: "10/second", "5 per minute", "100/day"
  • Route-specific rate limits using decorators or patterns
  • Client tracking via IPs or secure client IDs
  • Proxy support with X-Forwarded-For headers
  • Route exemptions for health checks and critical endpoints
  • Built-in rate limit monitoring and management
  • Automatic rate limit page with return URL

CAPTCHA Integration

Flask-Humanify includes built-in support for multiple CAPTCHA providers to add an extra layer of protection:

from flask import Flask
from flask_humanify import CaptchaEmbed

app = Flask(__name__)

# Initialize CAPTCHA with automatic theme detection and language
captcha = CaptchaEmbed(
    app,
    theme="auto",          # Options: "light", "dark", "auto"
    language="auto",       # Use specific language code like "en" if needed
    recaptcha_site_key="your_site_key",    # For Google reCAPTCHA
    recaptcha_secret="your_secret_key",
    hcaptcha_site_key="your_site_key",     # For hCaptcha
    hcaptcha_secret="your_secret_key",
    turnstile_site_key="your_site_key",    # For Cloudflare Turnstile
    turnstile_secret="your_secret_key",
    friendly_site_key="your_site_key",     # For Friendly Captcha
    friendly_secret="your_secret_key",
    altcha_secret="your_secret_key"        # For Altcha (a random generated secret)
)

@app.route("/protected", methods=["GET", "POST"])
def protected():
    if request.method == "POST":
        # Validate the CAPTCHA response
        if captcha.is_recaptcha_valid():    # Or use is_hcaptcha_valid(), is_turnstile_valid(), etc.
            return "Success!"
    return render_template("form.html")

In your templates, you can easily embed any supported CAPTCHA:

<!-- Templates automatically get access to CAPTCHA embeds -->
<form method="POST">
    {{ recaptcha|safe }}
    <!-- For Google reCAPTCHA -->
    {{ hcaptcha|safe }}
    <!-- For hCaptcha -->
    {{ turnstile|safe }}
    <!-- For Cloudflare Turnstile -->
    {{ friendly|safe }}
    <!-- For Friendly Captcha -->
    {{ altcha|safe }}
    <!-- For Altcha (with default hardness) -->
    {{ altcha1|safe }}
    <!-- For Altcha (with hardness level 1-5) -->
    <button type="submit">Submit</button>
</form>

The CAPTCHA integration features:

  • Automatic dark/light theme detection
  • Multiple CAPTCHA provider support
  • Customizable difficulty levels for Altcha
  • Easy validation methods
  • Automatic template context integration

Error Handling

Flask-Humanify provides a clean error handling system:

from flask import Flask
from flask_humanify import Humanify, ErrorHandler

app = Flask(__name__)
humanify = Humanify(app)
# Handle all standard HTTP errors
error_handler = ErrorHandler(app)

# Use custom template with placeholders: EXCEPTION_TITLE, EXCEPTION_CODE, EXCEPTION_MESSAGE
error_handler = ErrorHandler(app, template_path="templates/error.html")

# Or handle only specific error codes
error_handler = ErrorHandler(app, errors=[404, 429, 500])

# Or handle only specific error codes with a custom template
error_handler = ErrorHandler(app, errors={404: {"template": "404.html"}})

The error handler:

  • Renders user-friendly error pages
  • Uses the custom exception.html template
  • Provides appropriate error messages and descriptions
  • Includes HTTP status codes and titles

Bot Detection Features

Flask-Humanify automatically detects various types of suspicious traffic:

  • VPN Detection: Identifies traffic from major VPN providers (NordVPN, ProtonVPN, ExpressVPN, etc.)
  • Proxy Detection: Detects proxy servers and anonymizers
  • Datacenter IPs: Flags requests from datacenter IP ranges
  • Tor Exit Nodes: Identifies Tor network exit points
  • Web Crawlers: Recognizes legitimate and malicious crawlers via user-agent analysis
  • Forum Spammers: Blocks known spam sources from StopForumSpam database
  • Firehol Blocklists: Uses Firehol Level 1 blocklist for known malicious IPs

All detection happens automatically with no additional configuration required.

Complete Example

Here's a complete example combining all features:

from flask import Flask
from flask_humanify import (
    Humanify,
    RateLimiter,
    ErrorHandler,
    require_human,
    always_challenge,
    block_bots,
    exempt_from_protection,
)

app = Flask(__name__)

# Setup core protection with custom configuration
humanify = Humanify(
    app,
    challenge_type="one_click",
    image_dataset="animals",
    audio_dataset="characters",  # Enable audio accessibility
    retrys=3,
    hardness=2,
    behind_proxy=True,
    use_client_id=True
)

# Protect all API routes with middleware
humanify.register_middleware(
    action="challenge",
    url_patterns="/api/*",
    exclude_patterns="/api/public/*"
)

# Add rate limiting
rate_limiter = RateLimiter(app, default_limit="100/hour")
rate_limiter.set_route_limit("/api/data", "10/minute")

# Add error handling
error_handler = ErrorHandler(app)

@app.route("/")
def index():
    return "Hello, Human!"

@app.route("/api/public/status")
@exempt_from_protection
def public_status():
    return {"status": "ok"}

@app.route("/login")
@always_challenge
def login():
    return "Login page - everyone must solve captcha"

@app.route("/admin")
@block_bots
def admin():
    return "Admin area - bots blocked immediately"

@app.route("/protected")
@require_human(action="challenge")
def protected():
    return "Protected content"

if __name__ == "__main__":
    app.run(debug=True)

Security Best Practices

  • Use HTTPS: Always enable HTTPS in production for secure cookie transmission
  • Behind Proxy: Set behind_proxy=True when using reverse proxies or load balancers
  • Client IDs: Consider use_client_id=True for better privacy and shared IP handling
  • Rate Limiting: Combine bot protection with rate limiting for comprehensive defense
  • Retry Limits: Adjust retrys based on your security requirements (lower = stricter)
  • Challenge Difficulty: Balance hardness between security and user experience
  • Pattern Matching: Use specific patterns in middleware to protect only necessary routes

License

This project is licensed under the MIT License - see the LICENSE file for details.

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