Cyber security geoip attack map that follows syslog and parses IPs/port numbers to visualize attackers in real time.
Python HTML CSS Shell
Latest commit e28805a Nov 28, 2016 @MatthewClarkMay committed on GitHub Update

First and Foremost

I do not have much time in my life right now to maintain this project. I undertook this challenge as a means to learn JavaScript, and to improve upon the Python I already knew. I'm sure there are several things I could have done differently in my implementation, and I won't be offended if I receive constructive criticism from someone who downloads and views my code. I know I learned a ton when working on this, and I hope the open source community will continue to teach me things :)

Cyber Security GeoIP Attack Map Visualization

This geoip attack map visualizer was developed to display network attacks on your organization in real time. The data server follows a syslog file, and parses out source IP, destination IP, source port, and destination port. Protocols are determined via common ports, and the visualizations vary in color based on protocol type. CLICK HERE for a demo video. This project would not be possible if it weren't for Sam Cappella, who created a cyber defense competition network traffic visualizer for the 2015 Palmetto Cyber Defense Competition. I mainly used his code as a reference, but I did borrow a few functions while creating the display server, and visual aspects of the webapp. I would also like to give special thanks to Dylan Madisetti as well for giving me advice about certain aspects of my implementation.


This program relies entirely on syslog, and because all appliances format logs differently, you will need to customize the log parsing function(s). If your organization uses a security information and event management system (SIEM), it can probably normalize logs to save you a ton of time writing regex. 1. Send all syslog to SIEM. 2. Use SIEM to normalize logs. 3. Send normalized logs to the box (any Linux machine running syslog-ng will work) running this software so the data server can parse them.


Run the following commands to install all required dependencies (tested on Ubuntu 14.04 x64)

# sudo apt-get install python3-pip redis-server
# sudo pip3 install tornado tornado-redis redis maxminddb


  1. Make sure in /etc/redis/redis.conf to change bind to bind if you plan on running the DataServer on a different machine than the AttackMapServer.
  2. Make sure that the WebSocket address in /AttackMapServer/index.html points back to the IP address of the AttackMapServer so the browser knows the address of the WebSocket.
  3. Download the MaxMind GeoLite2 database, and change the db_path variable in to the wherever you store the database.
    • ./
  4. Add headquarters latitude/longitude to hqLatLng variable in index.html
  5. Use to simulate dummy traffic "out of the box."
  6. IMPORTANT: Remember, this code will only run correctly in a production environment after personalizing the parsing functions. The default parsing function is only written to parse ./ traffic.

Bugs, Feedback, and Questions

If you find any errors or bugs, please let me know. Questions and feedback are also welcome, and can be sent to, or open an issue in this repository.