Understanding the Cheat Landscape
摘要
This chapter explores the modern cheat landscape in single-player games and explains why developers must understand cheating behavior before designing defenses. It discusses common attacker motivations such as curiosity, convenience, content unlocking, frustration, and power fantasy. The chapter also classifies different attacker skill levels, from casual save editors to advanced reverse engineers. It identifies major attack vectors including runtime memory manipulation, save file tampering, Blueprint function abuse, code injection, asset extraction, and configuration changes. Special attention is given to tools such as Cheat Engine, trainers, save editors, and Unreal Engine reflection abuse. Overall, the chapter shows that cheating is not random but follows predictable patterns, making awareness the first step toward building tamper-resistant game systems.