Macro Malware Detection using Machine Learning Techniques - A New Approach
Sergio de los Santos, José Francisco Torres · 2017
A malware (also called macro virus) is the code that exploits the functionality of office documents (especially Microsoft Office’s Excel and Word) to carry out malicious action against the systems of the victims that open the file. This type of malware was very popular during the late 90s and early 2000s. After its rise when it was created as a propagation method of other malware in 2014, viruses continue posing a threat to the user that is far from being controlled. This paper studies the possibility of improving macro malware detection via machine learning techniques applied to the properties of the code.