From 411e39b5012618cbfee2a67c8f191ef1b5d2e6f2 Mon Sep 17 00:00:00 2001 From: Alexandre Dulaunoy Date: Sat, 10 Jan 2015 23:15:22 +0100 Subject: [PATCH] Requirements added --- README.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/README.md b/README.md index d1cb187..8399e9b 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,13 @@ *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 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.