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Drop It Like It’s Qbot (Red Canary Remix): Detecting initial execution earlier with OSINT

This webinar is about leveraging open source intelligence to track and help detect rapidly-changing initial execution techniques used by adversaries. While Qbot itself is not currently a prevalent threat, thanks to its takedown in late August 2023, adversaries continue to develop new ways to download and run a variety of malicious payloads on victim endpoints.

On-Demand

45 mins.

Virtual

This webinar is about leveraging open source intelligence to track and help detect rapidly-changing initial execution techniques used by adversaries. While Qbot itself is not currently a prevalent threat, thanks to its takedown in late August 2023, adversaries continue to develop new ways to download and run a variety of malicious payloads on victim endpoints.

 

Detecting malicious execution early can reduce or eliminate the risk of follow-on activity, but frequent changes to malicious downloaders makes early detection more difficult for defenders. Fortunately there are analysts and researchers dedicated to tracking such changes and sharing them with the security community almost as quickly as they happen.

In this webinar, you’ll be given specific open-source intelligence resources you can use to stay up-to-date as threats continue to change and develop. You’ll also be armed with detection opportunities to help detect loaders delivering malicious payloads.

This version of the talk digs into recently seen malicious downloaders and features a reworked slide deck, new content, and up-to-date behavioral and atomic indicators for initial execution detection.

 
Stef Rand
Intelligence Analyst
Prior to joining Red Canary, Stef was a consultant at Mandiant, specializing in digital forensics and incident response. Before she started her career in cybersecurity she earned a master’s degree in Clinical Psychology. She loves finding new ways to integrate psychology and cybersecurity in her research, writing, and conference presentations.
Prior to joining Red Canary, Stef was a consultant at Mandiant, specializing in digital forensics and incident response. Before she started her career in cybersecurity she earned a master’s degree in Clinical Psychology. She loves finding new ways to integrate psychology and cybersecurity in her research, writing, and conference presentations.
 
 
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