Threat Detection in URLs by Applying Machine Learning Algorithms.

Different cyber threat groups develop an infrastructure to be able to distribute malware to victims. The entry vector of these threats is usually the download of malicious files via a web link that initiates the system infection. It is possible to detect these threats at an early stage to anticipate a possible compromise by applying a malicious URL detector. This work contributes to detect cyber threats (Emotet and Qakbot, mainly) in advance given an input URL.