Researchers at Wake Forest University dynamically analyzed 444 iOS apps with LLM features and found that 282 of them (64%) exposed LLM API credentials or backend access over network traffic. Of those, 146 (52%) were confirmed to be fully exploitable, raising the risk of "LLMjacking," in which a third party runs costly LLM inference for free using someone else's keys. Details of the research
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