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

Case study – CERT.SE's major fraud and hacking criminal case, B 8322-16

Refer to the case study at https://www.cert.se/2017/09/cert-se-tekniska-rad-med-anledning-av-det-aktuella-dataintrangsfallet-b-8322-16. We can download the PCAP file from https://drive.google.com/open?id=0B7pTM0QU5apSdnF0Znp1Tko0ams. The case highlights the use of open source tools and denotes that the infection took place after the targets received an email along with a macro-enabled document. The attackers asked the victims to enable macros to view the content of the document and hence generated a foothold on the target system. We will examine the pcap from the network's point of view and highlight the information of interest.

Let's fire up the NetworkMiner and get an overview of what happened:

If we sort the packets with bytes, we have 37.28.155.22 as the top IP address. Let...