When sophisticated adversaries breach enterprise perimeters, host logs can be wiped, registry entries timestomped, and event viewers cleared. But packets traversing the wire cannot lie. Network forensics provides the immutable, real-time evidentiary trail required to detect lateral movement, identify covert data exfiltration, dissect remote command-and-control (C2) beaconing, and attribute complex cyber espionage campaigns. This advanced masterclass equips cybersecurity practitioners, incident responders, SOC analysts, and law enforcement cybercrime investigators with an authoritative, packet-level methodology for network evidence extraction and analysis. Grounded in ISO/IEC 27037 digital evidence standards, RFC protocol specifications, and NIST SP 800-86 guide to computer and network forensics, students progress from fundamental packet capture architectures and TCP/IP state-machine reconstruction to advanced deep packet inspection (DPI), JA3/JA4 TLS client fingerprinting, wireless packet injection triage, and VoIP session reassembly. Through hands-on packet capture (PCAP) forensic scenarios, analysts learn to carve raw binary payloads, extract embedded malware executables, detect DNS tunneling covert channels, trace attacker infrastructure across Tor and dark web networks, and follow cryptocurrency flows using blockchain heuristics. Every module bridges low-level network protocol mechanics with courtroom-defensible evidentiary rigor, transforming raw bitstreams into verified, actionable investigative findings.
Network Forensics and Cybercrime Investigation: Traffic Analysis, PCAP Carving & Threat Hunting
22 modules · self-paced learning
Curriculum
22 modules · 245 lessons
Enroll in the course to access this module’s 14 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
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