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This project was a precursor to the work I did on my Master's thesis, which is much better and complete. You can read about it here.


Zeno alt text

Zeno is a tool that, by analyzing the traffic of a given network, can detect what service is being used. It can detect if the user is browsing, listening to Spotify (or both), watching a Youtube video... and even differentiate it from a Pornhub video!

The analysis of the traffic is non-intrusive, so this will work even on ciphered traffic.

Currently, this tool can identify:

  • YouTube alt text
  • Regular Browsing alt text
  • Spotify alt text
  • PornHub alt text

Dependencies:

Usage

Go into the zeno folder and run the file api.py as such:

python3 api.py -i [interface] -c [client-networks] -s [service-networks]

For example:

python3 api.py -i eth0 -c 192.1.1.10/0 -s 0.0.0.0/0

With the command above we are capturing packets on the interface eth0. The client network is the IP on that interface and the service IP is 0.0.0.0/0, which means we will capture all the arriving packets.

alt text

NOTE: You may need to run the above command as root, if you don't have permissions to use tshark. Other solutions can be found here.

You can also view the info using the dashboard.html in the frontend folder.

alt text

Changelog

[1.1.0] - 06/07/2017

Changed

  • Repo made public :)
  • General repo cleanup

[1.0.1] - 15/06/2017

Added

  • New captures

Changed

  • Frontend bug fix

[1.0.0] - 7/06/2017 Out of beta!

Added

  • Classifying tool updated
  • Flask API to send info
  • Frontend to see info

Removed

  • Deprecated files

[0.4.0] - 6/06/2017

Added

  • Multithreading - can capture and analyze at the same time

[0.3.1] - 29/05/2017

Added

  • New captures

Changed

  • Normalization of data

[0.3.0] - 15/05/2017

Changed

  • Classifying tool updated

[0.2.0] - 14/05/2017

Added

  • Spotify classfication
  • New captures

[0.1.0] - 12/04/2017

Added

  • Youtube classification
  • Browser classification
  • New captures

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