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.

4. For ease of use, we have parsed the logs to the following format.

        -Source_IP, Destination_IP, Source_port, Destination_port
   

1. Make sure in /etc/redis/redis.conf to change bind 127.0.0.1 to bind 0.0.0.0 if you plan on running the DataServer on a different machine than the AttackMapServer.
2. Make sure syslog_path is set to the file receiving formatted syslog
3. Make sure db_path is set to the location hosting the GeoLite2-City.mmdb
4. Make sure hq_ip is set
5. 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.
6. Make sure Static & Flags is set to location of unzipped files
7. Download & Unzip the MaxMind GeoLite2 database, and change the db_path variable in DataServer.py to wherever you store the database.
   • ./db-dl.sh
8. Add headquarters latitude/longitude to hqLatLng variable in index.html
9. Add API token for mapbox to L.Mapbox.accessToken in map.js
10. Set map = L.mapbox.map("map", "mapbox.dark", { This allows for a darkened satellite map of the world
11. Set HQ (College Station) Coordinates via var hqLatLng = new L.LatLng(30.6280, -96.3344);
12. Use syslog-gen.py, or syslog-gen.sh to simulate dummy traffic "out of the box."
13. 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 ./syslog-gen.sh traffic.

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