{"id":7109,"date":"2024-02-27T05:22:31","date_gmt":"2024-02-27T05:22:31","guid":{"rendered":"\/cybersecurity-blog\/?p=7109"},"modified":"2024-06-22T14:52:42","modified_gmt":"2024-06-22T14:52:42","slug":"dcrat-analysis-in-any-run","status":"publish","type":"post","link":"https:\/\/any.run\/cybersecurity-blog\/dcrat-analysis-in-any-run\/","title":{"rendered":"DCRat: Step-by-Step Analysis in ANY.RUN"},"content":{"rendered":"\n

We’re super excited to introduce a guest writer – Mizuho (@morimolymoly2<\/a> on X) today, a software engineer and malware analyst making their debut on the ANY.RUN blog. In today’s article, Mizuho guides us through surface, dynamic, and static analysis of DCRat. Let’s dive in.<\/p>\n\n\n\n

In this article, I’ll guide you through the analysis process of DCRat<\/a> using ANY.RUN<\/a>. <\/p>\n\n\n\n

This powerful malware has been available since 2018. Despite its low $5 price tag, it offers a wide array of malicious functions, such as full backdoor access to Windows systems, collection of sensitive personal information like usernames, passwords, and credit card details, capturing screenshots, and stealing Telegram, Steam, and Discord login credentials. <\/p>\n\n\n\n

Given the complexity and the range of functions of DCRat, underestimating this malware could lead to significant security breaches and data loss. <\/p>\n\n\n\n

Why I picked DCRat for this analysis <\/h2>\n\n\n\n

I noticed that DCRat seems to be gaining popularity as of late \u2014 it has been frequently mentioned in various underground online forums. This inexpensive, yet highly capable malware gives threat actors complete surveillance over their victims, and its potential to access and control social network accounts adds another layer of risk. It can compromise not just individual data but also potentially broader networks and contacts. <\/p>\n\n\n\n

In the article I aim to cover: <\/p>\n\n\n\n