Packet Capture & Protocol Analysis
Full-stack PCAP dissection with Wireshark and tshark, TCP/UDP/ICMP analysis, application-layer protocol decoding (HTTP, DNS, SMB, TLS), and encrypted traffic fingerprinting.
A structured, foundation-to-professional pathway in network forensic analysis, following forensic methodology accepted in Australian courts.
Full-stack PCAP dissection with Wireshark and tshark, TCP/UDP/ICMP analysis, application-layer protocol decoding (HTTP, DNS, SMB, TLS), and encrypted traffic fingerprinting.
NetFlow/IPFIX analysis, connection pattern detection, volumetric anomaly identification, and extracting investigative leads from flow-level metadata.
Zeek connection logs, Suricata alert triage, IDS signature writing, C2 beaconing detection, DNS tunnelling identification, and lateral movement spotting in network telemetry.
Practical, operator-grade exercises using real-world PCAP datasets, intrusion scenarios, and network forensic tool suites.
Display filters, colouring rules, protocol dissection, stream following, export objects, and building custom PCAP analysis profiles for forensic workflows.
Scripting packet analysis at scale, field extraction, statistical summaries, and integrating tshark output with SIEM and reporting tools.
Connection logging (conn.log), DNS analysis (dns.log), HTTP tracking (http.log), file extraction, and writing custom Zeek scripts for forensic detection.
Rule writing, alert classification, PCAP replay for retrospective detection, and integrating Suricata with network forensic workflows.
Detecting periodic beaconing patterns, DNS tunnelling entropy analysis, HTTPS exfiltration identification, and covert channel hunting with statistical methods.
File extraction from PCAPs, certificate extraction, credential recovery from clear-text protocols, and building an evidence package from network captures.
Professional network forensics environment. Same standards as Australian federal and state cybersecurity operations centres.
This module is built under the express tuteallage of two specialist practitioners who bring together the cutting edge of machine learning and the hard-won credibility of the courtroom. You study directly under their guidance.
Machine Learning Specialist
Resident expert providing express tuteallage in AI-enhanced network forensic analysis. Christopher teaches ML-driven anomaly detection in network traffic, behavioural baselining with neural networks, predictive C2 detection algorithms, and how to generate court-admissible visual evidence from machine learning outputs — all tooling built and demonstrated within this module.
ASFDE — Australasian Society of Forensic Document Examiners
Bonafide ASFDE member with direct involvement in hundreds of Australian cases. A courtroom-recognised authority on signature fraud whose expert opinions have been accepted in Australian federal and state jurisdictions. Ms. Morrell provides the express tuteallage for evidence-handling methodology, courtroom preparation, and ensuring network-derived evidence meets the admissibility benchmarks expected by Australian courts — ensuring every student learns to the standard she herself upholds under cross-examination.
Directory: www.hacking101.com.au/forensic-analysis-101/network-forensics/
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