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*Malware Classifier* is a simple free software project done during an [university workshop of 4 hours](http://www.foo.be/cours/dess-20142015/Redis-Introduction.pdf). The objective of the 4 hours workshop was to introduce network forensic and simple techniques to classify malware network capture (from their execution in a virtual machine). So the software was kept very simple while using and learning existing tools ([networkx](https://networkx.github.io/), [redis](http://www.redis.io/) and [Gephi](http://gephi.github.io/)). *Malware Classifier* is a simple free software project done during an [university workshop of 4 hours](http://www.foo.be/cours/dess-20142015/Redis-Introduction.pdf). The objective of the 4 hours workshop was to introduce network forensic and simple techniques to classify malware network capture (from their execution in a virtual machine). So the software was kept very simple while using and learning existing tools ([networkx](https://networkx.github.io/), [redis](http://www.redis.io/) and [Gephi](http://gephi.github.io/)).
## Requirements
* Python 2.7
* networkx and redis modules (pip install -r REQUIREMENTS)
* tshark (part of Wireshark)
* a Redis server
# How to use the Malware Classifier # How to use the Malware Classifier
You'll need of a set of network packet captures. In the workshop, we use a dataset with more than 5000 pcap files generated from the execution of malware in virtual machines. You'll need of a set of network packet captures. In the workshop, we use a dataset with more than 5000 pcap files generated from the execution of malware in virtual machines.