LATIDIA · Ciberseguridad
Penny for your prompts: Un estudio de medición de la fuga de contexto en plataformas de chat con IA
arXiv:2610.37467v1 Anuncio Tipo: nuevo Resumen: Las plataformas de chatbots de IA se han convertido en una de las interfaces web más populares con las que los usuarios interactúan en línea, recibiendo rutinariamente información personal e íntima compartida bajo un ex
WhatsApp ↗Telegram ↗
La noticia
arXiv:2610.37467v1 Announce Type: new Abstract: AI chatbot platforms have become one of the most popular web interfaces users interact with online, routinely receiving personal and intimate information shared under an expectation of privacy. Yet, on the web application side, these platforms have the ability to embed third-party analytics, advertising, and session replay scripts that operate silently alongside the chatbot, creating an underexamined channel for conversational data leakage towards third parties. We conduct the first systematic large-scale measurement study of contextual leakage in AI chatbots, auditing the web interfaces of 42 general-purpose and domain-specific (health, legal, and education) platforms. Beyond standard network interception, we instrument the browser at the JavaScript engine