Over the last few months, you would have noticed the prevalence of Ransomware attacks reported in the news. High-profile and often highly advanced ransomware variants, such as Egregor, Maze, REvil/Sodinokibi have been noted in almost every industry around the globe.

This paper (Part 1 of 2) will focus on some of the earlier indications of a breach that can lead to a successful ransomware strike. Including how Artificial Intelligence (AI) and Machine Learning (ML) are used to contextualise, rather than predefine threats.

This Paper Includes:

An analysis of current Threat Landscape Trends with regards to Advanced Persistent Threats (APT’s) on Hacking Spree, Remote Code Execution (RCE’s) and Low-Level Threat Actors.
An analysis of current Threat Landscape trends. Including a look into COVID-19 Related Phishing Attacks & Internet Facing Attack Surface.
How to detect Ransomware Across the Cyber Kill Chain.
An exploration of Initial Access- Publicly Exposed Infrastructure.
Analysis of Internal Recon, including Attack and Recon Tools in SMB, RDP Scans, and Model Template Flexibility.