A study finds that all 21 evaluated LLMs fall for deceptive traps at a significantly higher rate than human attackers. Despite recognizing traps in their reasoning, LLMs exploit deceptive elements 73.4% of the time, with no correlation between recognition and behavior (Spearman r = +0.-08, p = 0.73). These results show human-centered deception theories fail to apply to AI attackers, calling for AI-native defense research.