The power of the CrowdStrike Falcon® platform lies in its ability to detect and protect customers from new and unknown threats by leveraging the power of the cloud and expertly built machine learning (ML) models. In real-world conditions and in independent third-party evaluations, Falcon’s on-sensor and cloud ML capabilities consistently achieve excellent results across Windows, Linux and macOS platforms.
About seven months ago at Defcon, Zenity CTO Michael Bargury presented security research that discovered and outlined a way to take over Microsoft Power Automate enabling bad actors to send ransomware to connected machines by using Power Automate as it was designed. By simply taking over an endpoint, our research showed that attackers can run their own payloads and execute malware by assigning machines to a new administrative account using a basic command line.
Whether or not you made it to RSA 2023, here are two key themes we saw throughout this year’s conference.
We are excited to announce the release of a new detection package “Sliver”, which identifies and raises alerts related to the Sliver C2 framework. This new package joins our industrial-strength C2 Collection and uses a variety of techniques to detect Sliver, above and beyond our HTTP-C2 package’s existing Sliver coverage. In this blog we provide some basics about Sliver and how it works and then dive deep into the techniques we use to detect this popular and powerful tool.
Organizations are increasingly turning to the cloud in their attempt to become more agile and efficient. Many will choose the Microsoft ecosystem and will need to become familiar with threat detection and response offered by this environment, how these technologies can be leveraged to their full potential, and what should be supplemented to avoid unnecessary risk.
This blog post is the first in a 2 part series on Corelight Smart PCAP. Tune in next week for part two where we’ll take a deep dive look at Corelight’s PCAP functionality and workflows that accelerate security investigations.