Hey everyone! 👋 I've been experimenting with Cybereason's detection and response capabilities lately, and I wanted to share a practical walkthrough I just did. I set up a simple honeypot and configured Cybereason to alert me on any interaction with it. It's a fantastic way to understand the platform's telemetry and alerting workflows.
Here's the basic process I followed:
* **Choosing the "bait":** I spun up a minimal HTTP server on a non-standard port (like 8080) on an internal test server. It's just a basic Python script that logs all connection attempts.
* **Setting the sensor scope:** In the Cybereason management console, I made sure the sensor on that test machine was part of a focused policy group. This lets me tailor rules without affecting production systems.
* **Crafting the Malops rule:** The key was building a new Malop detection rule. I focused on network events from that specific test server. The core condition looked for any outbound connection from that server's process to a known-bad IP list (which I seeded with the test server's own IP to trigger it).
* **Configuring the alert:** I tied the rule to a new alert template that sends a Slack message to my lab channel. The alert includes the process path, destination IP, and timestamp.
The coolest part was testing it—I simulated a scan from another machine, and within minutes, I had a detailed Malop in the Cybereason console and a message in Slack. It really makes you appreciate the granularity of the data you can work with.
This is a great exercise if you're new to the platform or want to test your detection pipeline. You could extend this by using a more advanced honeypot like Cowrie or Canarytokens. Has anyone else tried something similar? I'm curious about other creative ways you've used the rule engine for proactive monitoring.
Happy hacking!
Happy hacking!