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.

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Hands-On Network Forensics
Nipun Jaswal
Mar, 2019 | 358 pages
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Table of Contents (16 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Disclaimer
Free Chapter
1
Section 1: Obtaining the Evidence
Section 1: Obtaining the Evidence
2
Introducing Network Forensics
Introducing Network Forensics
Technical requirements
Network forensics investigation methodology
Source of network evidence
Wireshark essentials
Exercise 1 – a noob's keylogger
Exercise 2 – two too many
Summary
Questions and exercises
Further reading
3
Technical Concepts and Acquiring Evidence
Technical Concepts and Acquiring Evidence
Technical requirements
The inter-networking refresher
Log-based evidence
Case study – hack attempts
Summary
Questions and exercises
Further reading
4
Section 2: The Key Concepts
Section 2: The Key Concepts
5
Deep Packet Inspection
Deep Packet Inspection
Technical requirements
Protocol encapsulation
Analyzing packets on TCP
Analyzing packets on UDP
Analyzing packets on ICMP
Case study – ICMP Flood or something else
Summary
Questions and exercises
Further reading
6
Statistical Flow Analysis
Statistical Flow Analysis
Technical requirements
The flow record and flow-record processing systems (FRPS) 
Sensor deployment types
Analyzing the flow
Summary
Questions
 Further reading
7
Combatting Tunneling and Encryption
Combatting Tunneling and Encryption
Technical requirements
Decrypting TLS using browsers
Decoding a malicious DNS tunnel
Decrypting 802.11 packets
Decoding keyboard captures
Summary
Questions and exercises
Further reading
8
Section 3: Conducting Network Forensics
Section 3: Conducting Network Forensics
9
Investigating Good, Known, and Ugly Malware
Investigating Good, Known, and Ugly Malware
Technical requirements
Dissecting malware on the network
Intercepting malware for fun and profit
Behavior patterns and analysis
A real-world case study – investigating a banking Trojan on the network
Summary
Questions and exercises
Further reading
10
Investigating C2 Servers
Investigating C2 Servers
Technical requirements
Decoding the Metasploit shell
Case study – decrypting the Metasploit Reverse HTTPS Shellcode
Analyzing Empire C2
Case study – CERT.SE's major fraud and hacking criminal case, B 8322-16
Summary
Questions and exercises
Further reading
11
Investigating and Analyzing Logs
Investigating and Analyzing Logs
Technical requirements
Network intrusions and footprints
A case study – defaced servers
Summary
Questions and exercises
Further reading
12
WLAN Forensics
WLAN Forensics
Technical requirements
The 802.11 standard
Packet types and subtypes
Locating wireless devices
Identifying rogue access points
Identifying attacks
Case study – identifying the attacker
Summary
Questions
Further reading
13
Automated Evidence Aggregation and Analysis
Automated Evidence Aggregation and Analysis
Technical requirements
Automation using Python and Scapy
Automation through pyshark – Python's tshark
Merging and splitting PCAP data
Large-scale data capturing, collection, and indexing
Summary
 Questions and exercises
Further reading
14
Other Books You May Enjoy
Other Books You May Enjoy
Leave a review - let other readers know what you think
15
Assessments
Assessments
Chapter 1: Introducing Network Forensics
Chapter 6: Investigating Good, Known, and Ugly Malware
Chapter 7: Investigating C2 Servers
Chapter 9: WLAN Forensics

Statistical Flow Analysis

Statistical flow analysis helps identify compromised machines in a vast network, approves or disapproves Data Leakage Prevention (DLP) system findings by cross references, and profiles individuals when needed. This style of analysis can reveal a lot of information. It can help you find a compromised machine or critical business files being leaked to the outside world. You can profile someone to find out their work schedule, hours of inactivity, or sources of entertainment while at work.

We will cover the following key concepts in this chapter:

  • Statistical flow analysis
  • Collecting and aggregating data
  • Key concepts around Internet Protocol Flow Information Export (IPFIX) and NetFlow
Previous Section
End of Section 1
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