A team of University of Wisconsin-Madison engineers and computer scientists has identified vulnerabilities in popular automation apps that can make it easy for an abuser to stalk individuals, track their cellphone activity, or even control their devices with little risk of detection.
Exposing how automation apps can spy—and how to detect it
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Screenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
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Darknet markets generate millions in revenue selling stolen personal data, supply chain study finds
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Privacy violations undermine the trustworthiness of the Tim Hortons brand
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