“TALES FROM THE MALWARE LAB” IS LIVE!

Following the success of our video describing the WannaCry ransomware, we are happy to announce an ongoing series of YouTube videos: “Tales from the Malware Lab – Powered by GREYCORTEX.” In it, we will leverage our in-house malware lab, complete with the latest version of GREYCORTEX MENDEL to provide useful information about emerging network security threats in an easy-to-follow visual format.

 The videos will provide an overview of each threat’s activity within the network, and visualize these attacks from the network traffic analysis standpoint. We are releasing these videos as a public service to the greater network security community, which will benefit from this video-based approach to malware.

 The first video, addressing the “EternalRocks” malware, is available here: https://youtu.be/vI1lRi5e-SM


About Version 2 Limited
Version 2 Limited is one of the most dynamic IT companies in Asia. The company develops and distributes IT products for Internet and IP-based networks, including communication systems, Internet software, security, network, and media products. Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 Limited offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

About GREYCORTEX
GREYCORTEX uses advanced artificial intelligence, machine learning, and data mining methods to help organizations make their IT operations secure and reliable.

MENDEL, GREYCORTEX’s network traffic analysis solution, helps corporations, governments, and the critical infrastructure sector protect their futures by detecting cyber threats to sensitive data, networks, trade secrets, and reputations, which other network security products miss.

MENDEL is based on 10 years of extensive academic research and is designed using the same technology which was successful in four US-based NIST Challenges.