LLM

Advanced Dynamic and Static Malware Analysis using LLMs

Mon, May 12 2025

Malware Analysis AI LLM Cyber Security

The increasing complexity of malware highlights the need for advanced analysis tools, both static and dynamic, for effective reverse engineering and behavioral analysis of a given sample. While static methods such as disassembly and code review remain crucial, many malware samples use packers and obfuscation techniques that necessitate memory captures and dynamic analysis [Dynamic, 2012]. Similarly, hooking system and API calls at lower levels provides a more comprehensive view of a program’s true behavior. It enables analysts to capture transient execution stages in a multi-layered malware

Ahmar Husain

Visiting Student, Computer, Electrical and Mathematical Sciences and Engineering

Cyber Security Malware Analysis LLM

Muhammad Samiullah

Intern, Cyber Security and Resilience Technology

cybersecurity ML FPGA LLM

Cyber Security, FPGA security, AI/ML security

Ines Pinto Gouveia

Postdoctoral Research Fellow, Cyber Security and Resilience Technology

resilience Fault-Tolerant Computing intrusion tolerance cybersecurity FPGA LLM

Working towards building safe, secure and resilient systems.