AsyncRAT Analysis with ChatGPT

As cyber threats continue to evolve and become more sophisticated, it’s crucial for security researchers and professionals to stay ahead of the curve. In this post,

⦁ We will explore how ChatGPT can assist in the analysis of malware, specifically the Remote Access Trojan (RAT) known as AsyncRAT and,
⦁ We will also delve into the capabilities of ChatGPT and talk about how it can assist in identifying indicators of compromise, by analyzing network traffic, and uncovering command and control (C2) infrastructure.

But before moving ahead, a brief introduction to ChatGPT.

Driven by artificial intelligence (AI) ChatGPT was introduced in November 2022 by OpenAI as a prototype programmed to answer long form, complex questions. What is revolutionary about ChatGPT is that it is trained to learn about the meaning behind questing being asked. As a result of which, the responses reported are distinctly human-like. At this point, it remains debatable whether ChatGPT is going to support or pose as a challenge in the fight against cyber-crime, but for now, let us focus on ChatGPT and its malware analyzing capabilities.

So, whether you’re a seasoned security professional or just getting started in the field, this post will provide valuable insights into the use of advanced language models in malware analysis.

Let’s get started!

In order to understand the power and capabilities of ChatGPT, we began with analyzing AsyncRAT.  We were curious to see how this cutting-edge AI technology could aid in uncovering the inner workings of this malware, and potentially assist

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