Python for Network Forensics 4.2: Capturing Linux Memory

The video tutorial introduces Limeade, a tool for capturing Linux memory images, and explains its use in memory forensics. It covers the basics of Linux memory handling, the process of capturing memory images using Limeade, and the generation of volatility profiles. The tutorial includes a demonstration of Limeade's features, such as remote deployment and profile reuse, and concludes with a discussion on advanced usage scenarios.

What are the steps involved in installing Limeade?

Discuss the role of the kernel module in the memory capture process.

What are the advantages of using Limeade over traditional methods of memory acquisition?

How does Limeade ensure the integrity of the memory image captured?