Detection of Malware Presence using Wireshark Traffic Analysis (Emotet PCAP Study) 🔍 Introduction In today’s rapidly evolving digital landscape, malware attacks have become increasingly sophisticated, often leveraging network communication channels to remain undetected. Traditional endpoint detection methods are no longer sufficient to identify advanced threats such as botnets and trojans. This project focuses on analyzing network traffic using Wireshark to identify the presence of malware within a real-world packet capture (PCAP) dataset. The dataset used in this study is based on Emotet malware traffic, a well-known and highly evasive banking trojan. This analysis is based on a real-world Emotet malware dataset from Palo Alto Networks Unit 42 threat research 🎯 Objectives To analyze network traffic using Wireshark for identifying malware activity To detect Indicators of Compromise (IoCs) such as suspicious domains and abnormal communication patterns To understand malware behav...
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