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Kaspersky Lab’s cloud database contains over one billion malware files

By Chong Jinn Wei - on 11 Dec 2016, 7:13am

Kaspersky Lab’s cloud database contains over one billion malware files

Kaspersky Lab recently reported that their cloud malware collection system has identified over a billion malicious objects, bringing to light the daunting battle faced against cyberthreats.

Image source: Kaspersky Lab

The numerous malicious objects identified were done by Astraea, a machine-learning based malware analysis system. Due to the ever growing cases, an automated malware analysis and discovery system in combination with human expertise is the best way to fight today’s modern cyberthreats. Over the past five years, the percentage of new malware identified by Astraea has increased from 7.53-percent in 2012 to 40.5-percent today in 2016.

“One billion unique malicious files is a remarkable milestone. It shows the scale of the cybercriminal underground, which has developed from several small forums offering customized malicious tools, to the mass production of malware and tailored cybercriminal services. It also highlights the quality and evolution of our automated malware analysis technologies. Out of these billion files, more than 200 million have been added by the Astraea machine-learning system, which is fascinating. Our advanced systems now not only detect the vast majority of known malware we get on a daily basis, but also discover the unknown threats. Although the remaining 800 million files have been added by other internal detection systems, or by experts, the contribution to the Kaspersky Lab cloud database by machine-learning systems is substantial and will continue to grow,” says Vyacheslav Zakorzhevsky, Head of Anti-Malware Team at Kaspersky Lab.

Astraea is a part of Kaspersky Lab’s protection infrastructure that analyzes notification from computers protected under its system. It is one of the machine learning systems used by Kasperksy Lab that utilizes the company’s database to learn about how malware functions in the real world.

For more on Kaspersky Lab follow this link.