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Small Python-based web application honeypot with built-in analysis tools.
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Multipot is a small Python-based web application honeypot. It makes it easy to set up fake web applications and record the requests given to them in an easily readable SQLite database. The built-in web analysis tool allows some basic analysis of the gathered requests.

The following pictures show examples of the built-in analysis capabilities of Multipot.






  • Web application honeypot
  • Saves client requests and server responses in SQLite database
  • Built-in web GUI analysis tool
    • Use the SQLite database with your favorite tool for further analyses
  • Detailed information on gathered IP addresses
    • Utilizes free for whois/geoip information (free version doesn't allow SSL access)
  • Extensible, create your own fake pages


Step 1: Clone or download the repository

Step 2: Install prerequisites

pip3 install flask
pip3 install flask-sqlalchemy
pip3 install requests

For basic testing, the app can now be run with:

$ python3

By default the server is only reachable on localhost as the development server is not designed to be very stable/secure. You can change that setting in multipot/ and set the to'') to run on your machines IP address.

Go to the URL below to enter the dashboard:


This should not be used in production. Please follow the more detailed installation procedure below.

Step 3: Follow the official Flask deployment documentation:

For example mod_wsgi via Apache:

Quick summary for Ubuntu/Debian with Apache:
# Python 3:
$ sudo apt-get install libapache2-mod-wsgi-py3

Create the yourapplication.wsgi file. Depending on your setup, adjust Python load path in it.

import sys
sys.path.insert(0, '/path/to/the/application')

from yourapplication import app as application

Configure Apache:

<VirtualHost *>

    WSGIDaemonProcess yourapplication user=user1 group=group1 threads=5
    WSGIScriptAlias / /var/www/yourapplication/yourapplication.wsgi

    <Directory /var/www/yourapplication>
        WSGIProcessGroup yourapplication
        WSGIApplicationGroup %{GLOBAL}
        # old syntax:
        # Order deny,allow
        # Allow from all
        # new syntax:
        Require all granted

Step 4: Initialize database

Use the provided empty app.db or generate a new basic app.db database:

$ python3 app/

Step 5: Configure application !

Have a look at the for configurations.

Change your secret ANALYSIS_TOKEN! Otherwise others with access to your webserver can access the API and analysis sections of the honeypot.

Basic usage

After the setup browse to the following URL to see an overview on the recorded requests and their related responses:


Add your own fake websites

  1. Save your HTML skeleton in app/static/fake-sites/newfakeapp/newfakeapp.html
  2. Create new or modify route in app/
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