In the most stressful situations, effective training and well-documented processes and procedures are absolutely essential to reliable and uniform response.
This week, we will look at a protocol commonly overlooked by many but crucial to control system operation: The Tabular Data Stream (TDS) protocol.
In developing an analytic, the resulting detection methodology should not focus on a specific implementation of a behavior, but rather seek to cover multiple implementations of the behavior type.
At Dragos, Inc., what we pride ourselves on, use as our technology differentiation, and offer as our most valued asset to our customers is knowledge transfer.
This week we will focus on the Server Message Block (SMB) protocol that enabled Wannacry, Petya, and Bad Rabbit attacks to be lethal at the global level and what defenders can do to hunt within this protocol.
This week we will move away from hard-coded indicators and begin to look at behavioral indicators. Behavioral indicators allow identification of scanning in an environment beyond just that of Nmap.
Over the next few weeks, we will look at basic analytic approaches that can be taken to examine some of the most common protocols found on typical networks. This week we will get started with basic HTTP analysis using Python and Jupyter notebooks.
In this edition of the Dragos Threat Hunting on ICS network series, we will compare threat hunting on industrial networks with concepts from the wider threat hunting community. We will also look at how the unique characteristics of industrial networks can be used to an advantage as network defense professionals
This post is a first in series that will describe hunting, discuss best practices and explain our approach and lessons. Because hunting in industrial infrastructure is important to all of us and with focus and effort we can accomplish it.
Today Crowdstrike and Dragos issued a joint press release to finally announce the partnership we’ve developed over the course of the last year.
This webcast explores what is known and not known about the CRASHOVERRIDE framework and how it affects our understanding of how grid operations can be impacted.
What can the community learn in terms of realistic metrics and data points around malware in modern industrial control systems (MIMICS) from completely public datasets? That’s what project MIMICS sets out to do.