The practice of digital forensics in cybersecurity focuses on recovering and investigating artifacts found on devices to determine the nature of an incident or cyberattack.
On February 13th, we broke out the hats and balloons (read: hummus and beer) to celebrate Illusive’s 100th software sprint. For 100 releases now, we’ve been helping our customers—hundreds of organizations across industries—revolutionize their ability to stop advanced cyberattackers.
It goes without saying that digital transformation—the reengineering of core business processes leveraging digital technology—dramatically increases cyber risk for most organizations. It usually results in greater avenues of connectivity, collection of richer data from more sources, use of cloud services, extension of trust to more people and entities, and incorporation of smart devices in one form or another.
Security researchers build their understanding of attackers’ actions slowly—over time and with considerable attention to subtle details. It’s not unusual to examine hundreds or thousands of artifacts to find just one that will shine the light on an attacker’s activity.
Welcome back to the second installment of our DFIR blog! If you didn’t read Introduction to Digital Forensics and Incident Response check it out.
Let’s get started on our next chapter, Timeline Analysis and Time Stamped Forensics.
A Chapter from Your Favorite Crime Novel
In one of his blog posts, Corey Harrell described timeline analysis as a "great technique to determine the activity that occurred on a system at a certain point in time". When referring to DFIR, we would take it one step further: timeline analysis is necessary for effective incident response.
Practically, conducting digital forensics analysis is the procedure of investigating security alerts or suspicions of malicious activity in a computer network.
I like to think of DFIR as a procedure analogous to a military debriefing.
When fighter pilots return from an operative mission, they immediately conduct a debrief, which covers the objectives, what worked and what didn’t, and exactly how the next mission will be improved upon to complete each objective. Digital Forensics is really no different and here's why ...