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Malware Analysis Techniques

Malware Analysis Techniques

By : Dylan Barker
4.8 (9)
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Malware Analysis Techniques

Malware Analysis Techniques

4.8 (9)
By: Dylan Barker

Overview of this book

Malicious software poses a threat to every enterprise globally. Its growth is costing businesses millions of dollars due to currency theft as a result of ransomware and lost productivity. With this book, you'll learn how to quickly triage, identify, attribute, and remediate threats using proven analysis techniques. Malware Analysis Techniques begins with an overview of the nature of malware, the current threat landscape, and its impact on businesses. Once you've covered the basics of malware, you'll move on to discover more about the technical nature of malicious software, including static characteristics and dynamic attack methods within the MITRE ATT&CK framework. You'll also find out how to perform practical malware analysis by applying all that you've learned to attribute the malware to a specific threat and weaponize the adversary's indicators of compromise (IOCs) and methodology against them to prevent them from attacking. Finally, you'll get to grips with common tooling utilized by professional malware analysts and understand the basics of reverse engineering with the NSA's Ghidra platform. By the end of this malware analysis book, you’ll be able to perform in-depth static and dynamic analysis and automate key tasks for improved defense against attacks.
Table of Contents (17 chapters)
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1
Section 1: Basic Techniques
6
Section 2: Debugging and Anti-Analysis – Going Deep
11
Section 3: Reporting and Weaponizing Your Findings
14
Section 4: Challenge Solutions

Challenge

For this challenge, we'll see if we can collect some IOCs for an increasingly common piece of malware – a CoinMiner. Utilizing your own research, attempt to answer the following:

Recently, a security firm (Intezer) identified a Monero-mining campaign utilizing exposed Oracle WebLogic (amongst other vulnerabilities) to install coin-mining software on Linux and Windows machines.

  1. What file-based IOCs can you identify?

    a. What controls would you put in place for a Windows host to prevent this execution?

    b. What controls would you put in place for Linux servers?

  2. What network-based IOCs can you identify?

    a. Which is going to be more effective to block? FQDNs or IPs?

    b. What controls would you implement for Windows? What about Linux?

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