Introduction

Dynamic malware analysis is a crucial technique for understanding the behavior of malicious software in a controlled environment. By observing how malware executes and interacts with its host system, we can uncover hidden functionalities, identify affected files and processes, and better prepare countermeasures. Watch the introduction to dynamic malware analysis here:

Dynamic Malware Analysis

Dynamic malware analysis involves running the malware in a secure environment to observe its runtime behavior. This method reveals how malware impacts the system, including file changes, process creation, network activities, and registry modifications. By using tools like Process Monitor, Regshot, and ApateDNS, analysts can track these activities and understand the malware’s objectives.

Key Steps:

  1. Setting Up a Secure Environment:

    • Use virtual machines to isolate malware from the host system.
    • Configure network settings to prevent unauthorized connections.

  2. Observing Malware Behavior:

    • Track file and registry changes using tools like Regshot.
    • Monitor processes with Process Monitor and Process Explorer.
    • Intercept DNS requests with ApateDNS to identify malicious connections.

  3. Analyzing Network Activity:

    • Utilize tools like NetCat or sandbox environments to capture data exchanged with Command-and-Control (C2) servers.

  4. Detailed Analysis:

    • Use advanced tools like dnSpy and Ghidra to unpack and deobfuscate malicious code, revealing hidden instructions and payloads.

Dynamic analysis complements static methods, offering insights into malware’s real-world impact and enabling analysts to develop effective countermeasures.