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.