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A plug-and-play firewall library for Flask applications.

Project description

FlaskGuard 🚀

FlaskGuard is a plug-and-play firewall library for Flask applications. It protects your application from common web vulnerabilities such as SQL injection, XSS, path traversal, and more.

Features ✨

  • 🔒 Detects and blocks malicious requests.
  • ⚙️ Configurable rules and whitelist.
  • 🛠️ Easy integration with Flask applications.
  • 📜 Logging for blocked requests with color-coded output.
  • 🧠 Advanced detection for SQL injection, XSS, path traversal, command injection, and more.

Installation 🛠️

From PyPI

Install FlaskGuard directly with Pip:

pip install safe-flask

From GitHub

Install FlaskGuard from the GitHub repository:

pip install git+https://github.com/CodeGuardianSOF/FlaskGuard.git

From Source

Clone the repository and install FlaskGuard locally:

git clone https://github.com/CodeGuardianSOF/FlaskGuard.git
cd FlaskGuard
pip install .

Usage 🚀

Basic Integration

from flask import Flask
from flask_guard import FlaskGuard

app = Flask(__name__)
FlaskGuard(app)

@app.route("/")
def home():
    return "Welcome to FlaskGuard-protected app!"

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

Custom Rules and Whitelist

from flask_guard.rules import load_user_config

custom_rules = {
    "custom_rule": {
        "enabled": True,
        "pattern": r"custom_pattern",
        "target": "query_string",
    }
}

custom_whitelist = {
    "query_string": [r"safe_custom_param=value"],
}

load_user_config(user_rules=custom_rules, user_whitelist=custom_whitelist)

Rules 🛡️

FlaskGuard includes the following built-in rules:

  1. SQL Injection: Detects SQL injection patterns such as ' OR 1=1, UNION SELECT, SLEEP(), and more.
  2. XSS Attack: Detects Cross-Site Scripting (XSS) patterns in <script> tags, event handlers, and encoded payloads.
  3. Suspicious User-Agent: Blocks requests from tools commonly used in attacks, such as sqlmap, curl, wget, python-requests, and more.
  4. Path Traversal: Detects attempts to access sensitive files using patterns like ../../etc/passwd.
  5. Remote and Local File Inclusion (RFI/LFI): Detects attempts to include remote or local files.
  6. Command Injection: Detects shell command injection patterns and common commands like ls, cat, rm, bash, and powershell.
  7. Email Injection: Detects email header injection attempts using BCC, CC, and newline characters.
  8. HTTP Header Injection: Detects HTTP header injection attempts with patterns like Set-Cookie and Content-Length.
  9. Directory Listing: Detects responses exposing directory listings, such as Index of /.
  10. Open Redirect: Detects potential open redirect vulnerabilities in query strings.

Testing the Firewall 🧪

You can test the firewall using curl commands. Below are examples of malicious requests:

SQL Injection

curl "http://127.0.0.1:5000/malicious?query=%27%20OR%201%3D1%20--"

XSS Attack

curl "http://127.0.0.1:5000/malicious?query=%3Cscript%3Ealert%281%29%3C%2Fscript%3E"

Path Traversal

curl "http://127.0.0.1:5000/malicious?query=../../etc/passwd"

Command Injection

curl "http://127.0.0.1:5000/malicious?query=ls%20-al"

Email Injection

curl "http://127.0.0.1:5000/malicious?query=TO:%20victim@example.com%0ABCC:%20attacker@example.com"

HTTP Header Injection

curl "http://127.0.0.1:5000/malicious?query=%0D%0ASet-Cookie:%20malicious=true"

Directory Listing

curl "http://127.0.0.1:5000/malicious?query=index%20of%20/"

Open Redirect

curl "http://127.0.0.1:5000/malicious?query=http://malicious-site.com"

Legitimate Request

curl "http://127.0.0.1:5000/safe?query=safe_param=value"

Contributing 🤝

See CONTRIBUTING.md for details.

License 📄

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

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