Skip to main content

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(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(
    action="challenge",
    endpoint_patterns=["api.*", "admin.*"]  # Protect all API and admin endpoints
)

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

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

# Filter by request parameters
humanify.register_middleware(
    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
    }
)

Not using the middleware:

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

Usage

Installation

Install the package with pip:

pip install flask-humanify --upgrade

Import the extension:

from flask_humanify import Humanify

Add the extension to your Flask app:

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

Additional Features

Rate Limiting

Flask-Humanify includes a 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)
# Default: 10 requests per 10 seconds
rate_limiter = RateLimiter(app)

# Or customize rate limits
rate_limiter = RateLimiter(app, max_requests=20, time_window=30)

The rate limiter will automatically:

  • Track requests by IP address
  • Hash IPs for privacy
  • Redirect to a rate-limited page when limits are exceeded
  • Ignore rate limits for special pages like the rate-limited and access-denied pages

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

Complete Example

Here's a complete example combining all features:

from flask import Flask
from flask_humanify import Humanify, RateLimiter, ErrorHandler

app = Flask(__name__)
# Setup core protection
humanify = Humanify(app, challenge_type="one_click", image_dataset="animals")
humanify.register_middleware(action="challenge")

# Add rate limiting
rate_limiter = RateLimiter(app, max_requests=15, time_window=60)

# Add error handling
error_handler = ErrorHandler(app)

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

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flask_humanify-0.2.4.1.tar.gz (82.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

flask_humanify-0.2.4.1-py3-none-any.whl (82.4 MB view details)

Uploaded Python 3

File details

Details for the file flask_humanify-0.2.4.1.tar.gz.

File metadata

  • Download URL: flask_humanify-0.2.4.1.tar.gz
  • Upload date:
  • Size: 82.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for flask_humanify-0.2.4.1.tar.gz
Algorithm Hash digest
SHA256 2c1c7408a3d213f96d07c1586b0b9bf4074200992b9e69a1c5608f3bd5d0c92b
MD5 37b56a81f461875f02621730ca9d35d9
BLAKE2b-256 7adaf305c4cf433066ec89937e77a0b51257ced23115e39ca63093cb4e033404

See more details on using hashes here.

File details

Details for the file flask_humanify-0.2.4.1-py3-none-any.whl.

File metadata

File hashes

Hashes for flask_humanify-0.2.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0f07166eb89b26491e409f8da6a5da1402693d377deb1e3e41c7a32ea2a8804c
MD5 c02e0214cbce9e716ab07c9175814b5e
BLAKE2b-256 fa6a40cd5ee15c291748235fc5510f7b9ab55ee802134efc5e6aeeb0546072ad

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page