Python for Network Forensics 4.3: Analyzing Linux Memory

This video tutorial covers Linux memory analysis using Volatility and Limeade. It explains how to explore Volatility plugins, load memory images, and use Limeade profiles. The tutorial also demonstrates analyzing processes, connections, and bash history for forensic evidence. It concludes with a summary of Linux memory forensics and introduces attack principles and Python usage for digital forensics.

What is the primary tool used in this course for analyzing Linux memory?

• Wireshark

• Volatility

• Metasploit

• Nmap

Which command is used to list available plugins for Linux in Volatility?

• volatility -p

• volatility --plugins

• volatility --list-plugins

• python2 vol.py --info

What is the purpose of the Linux_PS_list plugin in Volatility?

• To show loaded kernel modules

• To display the process list

• To list open network connections

• To recover deleted files

Which plugin provides a hierarchical view of processes in Volatility?

• Linux_PS_tree

• Linux_PS_list

• Linux_Netstat

• Linux_Bash

What does the presence of a Netcat instance in memory indicate?

• A secure connection

• A terminated process

• A closed connection

• A potential open connection

How does Limeade determine the Fedora release version?

• By checking the kernel version

• By reading the bash history

• By listing the loaded modules

• By catting the Fedora release file

What is the significance of finding an open connection in memory analysis?

• It indicates a terminated process

• It suggests a potential security breach

• It shows a closed network port

• It confirms system stability