Hundreds of AI-powered iOS apps found exposing credentials

Researchers from Wake Forest University analyzed 444 iOS applications with LLM features and found 282 that exposed exploitable credentials or backend access mechanisms, affecting 13 app categories including productivity, entertainment, lifestyle, and education.

Mobile app developers are packing AI features into everything from writing assistants to productivity tools and lifestyle apps. New research shows that securing access to those services remains a challenge. LLM API credential leakage via network traffic interception Source: Research paper Researchers from Wake Forest University analyzed 444 iOS applications with LLM features and found 282 that exposed exploitable credentials or backend access mechanisms. The affected apps covered 13 categories, including productivity, entertainment, lifestyle, education, … More https://www.helpnetsecurity.com/2026/06/22/llm-api-credential-leakage-ios-apps/ The post Hundreds of AI-powered iOS apps found exposing credentials https://www.helpnetsecurity.com/2026/06/22/llm-api-credential-leakage-ios-apps/ appeared first on Help Net Security https://www.helpnetsecurity.com .