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Corporations with the unique challenges they face, must assume that sooner or later malware infections will get through their security perimeter.
This framework based on modules and libraries that can be used all together in different combos to get exactly what researcher/tester needs.
The malware landscape is characterised by its rapid and constant evolution.
Defenders often find themselves one step behind, resulting at best in monetary losses and in most extreme cases even endangering human lives.
The challenge is how to use this technology to detect what matters most: malicious behaviours that pose a high risk to companies.
In this talk we address four key challenges related to automatic malware detection in the network traffic: how to detect malware changing its network behaviour over time (e.g.