Detection of Most Recent Torjan on Operating System

Abstract - The rapid growth of mobile technologies has expanded the functionality of smartphones, with Android emerging as the dominant platform due to its open ecosystem and massive user base exceeding 2 billion. However, this popularity has also made Android a primary target for cybercriminals, particularly in the distribution of mobile malware. Since 2009, mobile malware has escalated significantly, with a notable rise in new variants in 2017, fueled by profit-driven attackers and underground markets. Advanced evasion techniques such as obfuscation, logic bombs, and runtime payload dropping have made malware detection increasingly difficult. This thesis focuses on analyzing modern Android trojans—specifically, banking trojans that steal user credentials via fake login interfaces. Using both static reverse engineering and dynamic behavioral analysis in emulated environments, the study examines 2,380 samples across 20 trojan (sub)families. The research identifies common traits and evolutionary patterns among these threats, providing valuable insights into their increasing sophistication and the growing challenge they pose to existing mobile security solutions.