Understanding the properties exhibited by Spatial-temporal evolution of cyber
attacks improve cyber threat intelligence. In addition, better understanding on
threats patterns is a key feature for cyber threats prevention, detection, and
management and for enhancing defenses. In this work, we study different aspects
of emerging threats in the wild shared by 160,000 global participants form all
industries. First, we perform an exploratory data analysis of the collected
cyber threats. We investigate the most targeted countries, most common malwares
and the distribution of attacks frequency by localisation. Second, we extract
attacks’ spreading patterns at country level. We model these behaviors using
transition graphs decorated with probabilities of switching from a country to
another. Finally, we analyse the extent to which cyber threats have been
affected by the COVID-19 outbreak and sanitary measures imposed by governments
to prevent the virus from spreading.

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