Skip to main content
King Abdullah University of Science and Technology
High Performance Visualization Group
High Performance Visualization Group

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Research Scientists
    • Students
    • Alumni
    • Former Members
  • Events
    • All Events
    • Events Calendar
  • News

Malware Analysis

Advanced Dynamic and Static Malware Analysis using LLMs

Mon, May 12 2025

Research

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

High Performance Visualization Group (VCCVIS)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice

Disclaimer: The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the King Abdullah University of Science and Technology.