Deep Packet Inspection & Malware Traffic Analysis
Malware Traffic Analysis Deep Packet Inspection & Malware Traffic Analysis Decoding Network Behaviors through Automated Python Forensics Introduction In the modern landscape of Digital Forensics and Incident Response (DFIR), capturing a malicious executable is only half the battle. True threat intelligence is derived from observing how that payload operates on the network—how it communicates with its operators, where it sends stolen data, and how it attempts to evade detection. In this Digital Assignment, I engineered a robust, Python-based forensic extraction tool using PyShark . By automating Deep Packet Inspection (DPI) on suspicious network captures, this project shifts the paradigm from manual, time-consuming Wireshark scrolling to programmatic, scalable threat hunting. Objectives Automated Signature Detection: Programmatically parse through thousands of raw network frames to extract packets that match specific, hardc...