You're reading from Malware Analysis Techniques Tricks for the triage of adversarial software

Product type Paperback

Published in Jun 2021

Publisher Packt

ISBN-13 9781839212277

Length 282 pages

Edition 1st Edition

Languages

Python

Tools

VMware Server

Concepts

Malware Analysis

Author (1):

Dylan Barker

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: Basic Techniques

2. Chapter 1: Creating and Maintaining your Detonation Environment FREE CHAPTER

3. Chapter 2: Static Analysis – Techniques and Tooling

4. Chapter 3: Dynamic Analysis – Techniques and Tooling

5. Chapter 4: A Word on Automated Sandboxing

6. Section 2: Debugging and Anti-Analysis – Going Deep

7. Chapter 5: Advanced Static Analysis – Out of the White Noise

8. Chapter 6: Advanced Dynamic Analysis – Looking at Explosions

9. Chapter 7: Advanced Dynamic Analysis Part 2 – Refusing to Take the Blue Pill

10. Chapter 8: De-Obfuscating Malicious Scripts: Putting the Toothpaste Back in the Tube

11. Section 3: Reporting and Weaponizing Your Findings

12. Chapter 9: The Reverse Card: Weaponizing IOCs and OSINT for Defense

13. Chapter 10: Malicious Functionality: Mapping Your Sample to MITRE ATT&CK

14. Section 4: Challenge Solutions

15. Chapter 11: Challenge Solutions

16. Other Books You May Enjoy

Network-based deception

Often, we as analysts may want to execute malware without directly exposing our box to the internet, for a myriad of reasons covered in the first chapter. For this, tools such as the following are crucial:

FakeNet-NG
ApateDNS
Python's SimpleHTTPServer

We'll cover each of these and their use cases in deceiving our adversarial counterparts so that we may better understand the ends they are attempting to achieve.

FakeNet-NG

FakeNet is a fairly simple application. The application hooks into the network adapter, and "tricks" the malware into believing it is the primary network adapter. As it does so, it also records all traffic, including outbound HTTP and HTTP Secure (HTTPS) requests. The FakeNet-NG logo is shown here: