Cyber threats are constantly evolving, and organizations need to stay on top of the latest techniques and tools to protect themselves against attacks. One of the most critical aspects of this is having an effective threat intel program in place. But how do you upgrade your program to keep up with the ever-changing threat landscape? Our answer: start looking for patterns in attack telemetry.

David Bianco’s ‘Pyramid of Pain’ illustrates the relationship between the types of indicators you might use to detect an adversary's activities and how much pain it will cause them when you are able to deny those indicators to them. Organizations can better identify and defend against threats by moving from simple indicators like domains, hashes, and IPs to focusing on more difficult to change indicators such as TTPs. While gaining this additional insight can take more time, defenders can do more to detect and prevent future attacks.

The Pyramid of Pain | Source: David Bianco

GreyNoise data is awesome, but in order to move from IPs -> TTPs, we have built new features to help you upgrade your Threat Intel program (thanks to the Pyramid of Pain)!

IP Similarity

It is now easier than ever to fingerprint attacker infrastructure. This new feature clusters activity based on similar behavior, like similar HASSH and JA3 fingerprints, RDNs, user agents, and ports scanned. Based on the results from IP Similarity, you can hunt within your own network to proactively find other related malicious activity.

GreyNoise IP Similarity Dashboard comparing HASSH Fingerprints of two IPs 71.6.199[.]23 and 89.248.172[.]16

IP Timeline

The IP Timeline displays activity as seen by GreyNoise sensors of a particular IP Address over the past thirty days. By checking our timeline graph, you can see when an IP interacts with our sensors. This chron data helps CTI teams identify if an attacker is using an automated process or if the scan/attack process is manual.

GreyNoise IP Timeline view for 41.65.223[.]220

Understanding how adversaries operate and adopting a defined strategy to detect and remediate can lead to a more effective threat intelligence program. GreyNoise can be used to easily enrich threat feeds to gain deeper insight into how attacker infrastructure is being used and quickly understand what services, devices, and vulnerabilities they want to leverage as part of their campaign.

If you are interested in learning more about any of these new features, request a demo.

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This article is a summary of the full, in-depth version on the GreyNoise Labs blog.
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