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- W4384158257 abstract "Amazon Alexa is a cloud-based voice service that allows users to control other devices, such as smart lights, using voice commands. It relies on different voice applications, known as skills, that run on a cloud backend and respond to user voice requests. However, this process is not flawless and there are several places where issues could happen. This paper examines issues in the Alexa skill ecosystem from a malicious skill developer’s perspective, including the ability to override other skills during the skill invocation process and the threats of malicious scripts running on skill description pages through cross-site scripting (XSS) vulnerabilities. We are the first to identify an XSS vulnerability in the Alexa skill description page, and our finding was confirmed by Amazon. Our research aims to bring attention to these issues in the Alexa skill ecosystem and improve the security and reliability of voice applications." @default.
- W4384158257 created "2023-07-14" @default.
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- W4384158257 date "2023-06-07" @default.
- W4384158257 modified "2023-10-17" @default.
- W4384158257 title "An Empirical Study of Alexa Skill System from Malicious Skill Developers" @default.
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- W4384158257 doi "https://doi.org/10.1109/aiiot58121.2023.10174411" @default.
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