In Part 1 of this blog series, we took a look at how we could use Elastic Stack machine learning to train a supervised classification model to detect malicious domains. In this second part, we will see how we can use the model we trained to enrich network data with classifications at ingest time. This will be useful for anyone who wants to detect potential DGA activity in their packetbeat data.

Unless you’ve been living under a rock you are probably familiar with the recent Shadow Brokers data dump of the Equation Group tools. In that release a precision SMB backdoor was included called Double Pulsar. This backdoor is implemented by exploiting the recently patched Windows vulnerability: CVE-2017-0143. For detection, we are going to first focus on the backdoor portion of the implant, hunting for traces left behind on the network.

As healthcare and life sciences organizations move to digitize their operations and automate their workflows, they are encountering new challenges related to HIPAA regulations, which dictate how patient information should be collected and stored.

You may be surprised to learn that a particular malware is responsible for data theft in over 20% of financial institutions and other verticals in 2019. Watering hole attacks involve a web server that hosts files or applications where the website or files on the site become weaponized with malware. While recent news cycles have shined a spotlight on ransomware and crimeware, malware is not a new concept.

Cloud environments like AWS can be a challenge for security monitoring services to operate in since assets tend to dynamically appear and disappear. Making matters more challenging, some asset identifiers that are stable in traditional IT environments like IP addresses are less reliable due to their transient behavior in a cloud service like AWS. Amazon GuardDuty protects your AWS environment with intelligent threat detection and continuous monitoring.

The cloud has become ubiquitous in all we do, and the line between the perimeter and the cloud continues to shrink as most enterprise organizations are looking to shift their cloud strategy to a multi-cloud approach. Moving to the cloud comes with plenty of benefits like performance optimization, improved reliability and overall cost savings, but cloud adoption is not without its risks and challenges.

This post will show you how Coralogix can provide analytics and insights for your Okta logs, both performance, and security. Okta is one of the leading Identity provider platforms in the world, offering a variety of cloud services including a Single Sign-On solution to manage and secure company user authentication with 3rd party applications.

Implementing and operationalizing the best practices and capabilities of DevOps into an organization is a key predictor for increased customer satisfaction, organizational productivity and profitability. Doing so successfully can be a challenging endeavour. Implementing DevOps can be particularly difficult because it oftentimes requires technology changes, process changes and a drastic change in mindset.

Léargas Security (Léargas is Gaelic for “insight”) provides clients with actionable insights into anomalous or abstract behaviors through the correlation of data gathered from converged security controls: cyber and physical.