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Looking for an automated malware analysis software? Something like a 1-click solution that doesn’t require any installation or configuration…a platform that can scale up your research time… technology that can provide data-driven explanations… well, your search is over!

Israeli cybersecurity and malware researchers today at Black Hat conference launch a revolutionary machine learning and artificial intelligence-powered malware researcher platform that aims to help users identify unknown malware samples before they strike.

Dubbed SNDBOX, the free online automated malware analysis system allows anyone to upload a file and access its static, dynamic and network analysis in an easy-to-understand graphical interface.

The loss due to malware attacks is reported to be more than $10 billion every year, and it’s increasing. Despite the significant improvement of cyber security mechanisms, malware is still a powerful and effective tool used by hackers to compromise systems because of its considerably improved evasion ability.

In recent years, artificial intelligence and machine learning technologies have evolved tremendously and emerged as one of the most promising technique to detect never-seen-before malware by studying the behaviour of various samples.

images from Hacker News