Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Threat Detection

Zenity Helps Microsoft Identify and Remediate Critical Security Risk in Power Automate Desktop

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.

Securing Cloud, Containers, and Kubernetes

Sysdig's Cloud Protection and Response platform bridges the gap between the cloud tenant, the Kubernetes workloads that run in that cloud provider, as well as the processes that are actually executed within containers running in Kubernetes. In this video, Sysdig Senior Technical Marketing Manager takes us through the platform and the best practices to secure your environment!

New Sliver C2 Detection Released - Redteam detected

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.

Microsoft Threat Detection and Response: Five Key Pitfalls (and How to Address Them)

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.

Machine Learning in Security: Detect Suspicious TXT Records Using Deep Learning

There are about 90 DNS resource record types (RR) of which many of them are obsolete today. Of the RR’s used, DNS TXT record offers the most flexibility in content by allowing user defined text. The TXT record initially designed to hold descriptive text (RFC 1035) is widely used for email verification, spam prevention and domain ownership verification.

2023 SANS Threat Hunting Survey Focusing on the Hunters and How Best to Support Them

As vendors develop new software or tools for threat hunting, we need to remember that threat hunting is predominantly a human-based activity in looking for incidents that our automated tools have not yet found, or cannot yet detect.