sAIfer Lab works on automatic detection of malicious software on different platforms, i.e. Android, Windows and Linux systems.

This research topic studies malicious software to determine a given sample’s functionalities, origin, and potential impact.

The objective is to design automated solutions that may simplify human analysts’ work in detecting malware among legitimate software and recognizing the sample’s families that can be distinguished.
Attack vectors and functionality are the most characteristic features of malware types. Examples are worms, trojan horses, backdoors, and ransomware, which is one of the current most impactful threats.

Pra Lab's Cybersecurity research unit is currently working on Living-off-the-land LotL, (i.e. malware that exploits legitimate software functionalities, like Adobe PDF and Office doc, to execute dangerous activities), x86, and Android malware.