Computer Forensics With an Emphasis on the NT Operating System
Learn computer forensics techniques focused on Windows NT, covering evidence collection, analysis, and investigation methods for digital crime scenes.
A Basic Guide to Advanced Incident Response
Advanced incident response techniques for effective cybersecurity defense, covering intelligence-driven strategies, active defense, network forensics, and collaborative approaches to enhance organizational security posture.
Network Forensics Using Kali Linux and SANS Sift
Explore network forensics techniques using Kali Linux and SANS SIFT, learning essential skills for digital investigations and cybersecurity analysis.
Network Forensics Using Kali Linux and SANS Sift
Learn network forensics techniques using Kali Linux and SANS SIFT, covering tools and methods for investigating digital evidence and analyzing network traffic.
Potentially Unnecessary and Unwanted Programs AKA PUPs
Explore potentially unwanted programs (PUPs), their detection challenges, and mitigation strategies through real-world case studies and forensic analysis techniques.
Dear Blue Team - Proactive Steps to Supercharge Your IR
Proactive strategies for enhancing incident response, covering threat intelligence, forensics, and threat hunting. Explores tools and techniques for effective cybersecurity defense.
Decrypting TLS Traffic on the Fly
Decrypt TLS traffic on-the-fly with friTap, an open-source framework for intercepting encryption keys. Learn about its applications in network forensics and protocol research across major operating systems.
Addressing Tactics Related to Edge Device Compromise - Security Detection and Defense
Explore advanced threat hunting techniques and defense strategies against edge device compromises, focusing on detection methods, forensic analysis, and proactive security measures for network infrastructure.
Signature-Based Detection Using Network Timing - Malware Traffic Analysis
Explore advanced malware detection techniques using network timing patterns and Python, learning to identify malicious behavior through transaction intervals rather than traditional code signatures.