Book Image

Hands-On Network Forensics

By : Nipun Jaswal
2 (2)
Book Image

Hands-On Network Forensics

2 (2)
By: Nipun Jaswal

Overview of this book

Network forensics is a subset of digital forensics that deals with network attacks and their investigation. In the era of network attacks and malware threat, it’s now more important than ever to have skills to investigate network attacks and vulnerabilities. Hands-On Network Forensics starts with the core concepts within network forensics, including coding, networking, forensics tools, and methodologies for forensic investigations. You’ll then explore the tools used for network forensics, followed by understanding how to apply those tools to a PCAP file and write the accompanying report. In addition to this, you will understand how statistical flow analysis, network enumeration, tunneling and encryption, and malware detection can be used to investigate your network. Towards the end of this book, you will discover how network correlation works and how to bring all the information from different types of network devices together. By the end of this book, you will have gained hands-on experience of performing forensics analysis tasks.
Table of Contents (16 chapters)
Free Chapter
1
Section 1: Obtaining the Evidence
4
Section 2: The Key Concepts
8
Section 3: Conducting Network Forensics

Questions and exercises

Attempt the following exercise for gaining hands-on experience with network malware analysis:

  1. Complete all exercises on Emotet Banking Trojan from https://www.malware-traffic-analysis.net/training-exercises.html
  2. Complete challenge 10 and 11 from https://github.com/nipunjaswal/networkforensics/tree/master/Challenges?
  3. Can you decrypt a ransomware through PCAP? If yes, how and under what conditions?
  4. Most of the Command and Control servers have?
    1. Encryption
    2. Encoding
    3. Beaconing behavior
    4. None of the above
    5. All of the above
  1. Most of the banking Trojans gets installed on the system through?
    1. Phishing
    2. Malspam
    3. Exploits
    4. Human errors
    5. All of the above
    6. None of the above