The Host-Based Network Forensics (HBNF) course offered by Spyder Forensics is an intensive 5-day training program designed for experienced examiners in digital forensics. Geared towards individuals familiar with digital forensic principles, this course aims to expand their expertise in advanced network exploitation forensics using host-based artifacts from systems victimized by attacks, including ransomware incidents.
Throughout the training, participants will gain unbiased knowledge and essential skills for analyzing artifacts resulting from network intrusion activities, with a strong emphasis on ransomware detection and response. The curriculum involves the use of standard techniques and open-source approaches to delve deeper into data exploration. By understanding how applications function and store data during network intrusions, attendees will acquire the expertise needed to navigate forensic challenges.
The course covers the identification, processing, understanding, and documentation of crucial forensic artifacts related to network intrusion investigations, including ransomware attack lifecycles. Participants will learn to apply various methodologies and utilities effectively. This includes investigating network intrusions through host-based evidence, capturing and analyzing network traffic artifacts on hosts, triaging live systems, and examining memory captures to pinpoint potential malware and threat artifacts linked to network activity. The curriculum also encompasses the analysis of Windows network-related artifacts to uncover additional information relevant to network intrusion investigations, such as persistence mechanisms.
Emphasizing hands-on learning, students will engage in extensive labs and exercises, including ransomware-focused scenarios and a capstone investigation. By the end of the course, attendees will have acquired comprehensive skills and knowledge to conduct advanced host-based network forensic analyses, reconstruct attack timelines, and effectively document findings for real-world applications.