In the last decades malware has been one of the major threats for IT systems, targeting both end users and organizations. Year after year malware samples evolve, showing new mechanisms to take advantage of their victims and developing new techniques to avoid detection. The analysis process is a fundamental task needed to perform both identification, i.e. labelling a program as benign or malicious, and family characterization, which means understanding which family a certain sample belongs to. A malware family is a group of samples that share very common characteristics or that have been developed by the same malicious actor. This thesis focuses on the development of an analysis and characterization methodology, trying to leverage on already developed tools that are able to extract representative information, i.e.