What you'll learn
⚡ Formulate testable hunt hypotheses using intelligence frameworks to uncover unflagged adversary persistence.
⚡ Engineer complex boolean Wireshark display filters to isolate anomalous TCP flag states and stealth port scans.
⚡ Profile network sessions using conversation tables and I/O graphs to detect covert rate-limited data exfiltration.
⚡ Reconstruct multi-stream TCP sessions and carve staged binaries to verify malicious payload hashes.
⚡ Evaluate TLS metadata and apply JA3, JA3S, and JA4 cryptographic fingerprints to unmask offensive toolkits.
⚡ Calculate Shannon entropy on outbound DNS traffic to identify automated domain generation algorithms and tunneling.
⚡ Audit SMB and DCE/RPC traffic streams to intercept administrative share abuse and PsExec service creation.
⚡ Uncover Kerberos ticket harvesting and cipher downgrade attacks by analyzing TGS-REQ packets and Event ID 4769.
⚡ Automate bulk PCAP triage pipelines with tshark, capinfos, and editcap to process multi-gigabyte captures.
⚡ Author defensible forensic incident reports and operationalize findings into production Suricata and Zeek rules.

Requirements
❗ Working knowledge of the TCP/IP protocol suite, standard networking concepts (IP addressing, subnets, routing), and core protocols (HTTP, DNS, TLS, SMB).
❗ Experience utilizing basic command-line environments (Linux/Unix shell or Windows PowerShell).
❗ Administrative workstation access capable of installing and running Wireshark, tshark, and related open-source network utilities.

Description
"This course contains the use of artificial intelligence."

Modern enterprise perimeters face sophisticated adversary evasion where endpoint detection and response (EDR) agents are blinded or bypassed via signed driver manipulation. While host telemetry degrades under kernel-level tampering, raw packet captures provide immutable evidentiary ground truth. Securing mission-critical infrastructure requires moving beyond reactive security operations center (SOC) triage queues toward hypothesis-driven network threat hunting.

This curriculum delivers an enterprise-grade framework for deep packet analysis, behavioral anomaly detection, and proactive hypothesis testing across high-throughput capture perimeters. Learners transition from passive observers to active forensic investigators, mastering raw protocol dissection, stream reassembly, binary carving, and statistical telemetry analysis. The content addresses mission-critical organizational needs, enabling teams to rapidly identify persistent compromise, contain lateral spread, and defend complex network topologies.

Key skills and technical competencies acquired include

✅ Master advanced Wireshark and tshark syntax to isolate covert communication channels.

✅ Evaluate cryptographic handshakes using JA3, JA3S, and JA4 fingerprinting frameworks.

✅ Uncover lateral movement sequences across SMB, DCE/RPC, WinRM, and Kerberos protocols.

✅ Quantify periodic Command-and-Control (C2) beaconing and mathematical sleep jitter.

✅ Detect DNS tunneling, Domain Generation Algorithms (DGA), and data exfiltration.

✅ Operationalize investigative findings into durable Suricata, Snort, and Zeek detection rules.

Frequently Asked Questions

What is hypothesis-driven threat hunting?

Hypothesis-driven threat hunting is a proactive security methodology where analysts assume network defenses have been bypassed. Investigators formulate testable, falsifiable behavioral questions based on threat intelligence and protocol baselines, querying raw packet telemetry to uncover persistent adversaries that evaded automated detection systems.

How does JA4 fingerprinting improve TLS traffic analysis?

JA4 improves TLS traffic analysis by sorting extensions and cipher suites alphabetically prior to hashing. This structure neutralizes client hash-randomization evasion techniques and generates human-readable protocol indicators, allowing security teams to identify offensive toolkits and rogue communication runtimes without performing full payload decryption.

Structured as an executive architecture briefing and applied forensic operational pipeline, this program bridges deep packet analysis with MITRE ATT&CK enterprise categorization, cross-source timestamp reconciliation, and legal chain of custody standards.

Updated for the 2025/2026 enterprise landscape, the course equips practitioners with resilient methodologies to triage multi-gigabit PCAP datasets, bypass modern obfuscation, and harden perimeter defenses.

Who this course is for
⭐ Enterprise SOC Analysts (Tiers 2 and 3) seeking to move from reactive alert triage to proactive hypothesis-driven network hunting.
⭐ Incident Response Engineers and Digital Forensics Specialists requiring packet-level proof to validate compromise and build defensible intrusion timelines.
⭐ Detection Engineers and Security Architects tasked with converting novel adversary techniques into resilient automated detection logic.
⭐ Network Security Professionals seeking to master deep packet dissection, traffic baselining, and covert channel identification.


https://rapidgator.net/file/a096fe8653241b61f12fea0ca7ef816c/Advanced_Network_Forensics_Threat_Hunting_with_Wireshark.part1.rar.html
https://rapidgator.net/file/e6f7dafb7e1bc741a47717dba5fea6b0/Advanced_Network_Forensics_Threat_Hunting_with_Wireshark.part2.rar.html
https://rapidgator.net/file/a22d356c4d4e4e55b4c887a9adc19fc0/Advanced_Network_Forensics_Threat_Hunting_with_Wireshark.part3.rar.html