The Insecurity of Home Digital Voice Assistants -- Amazon Alexa as a Case Study
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Abstract (arXiv)
Home Digital Voice Assistants (HDVAs) are getting popular in recent years. Users can control smart devices and get living assistance through those HDVAs (e.g., Amazon Alexa, Google Home) using voice. In this work, we study the insecurity of HDVA service by using Amazon Alexa as a case study. We disclose three security vulnerabilities which root in the insecure access control of Alexa services. We then exploit them to devise two proof-of-concept attacks, home burglary and fake order, where the adversary can remotely command the victim's Alexa device to open a door or place an order from Amazon.com. The insecure access control is that the Alexa device not only relies on a single-factor authentication but also takes voice commands even if no people are around. We thus argue that HDVAs should have another authentication factor, a physical presence based access control; that is, they can accept voice commands only when any person is detected nearby. To this end, we devise a Virtual Security Button (VSButton), which leverages the WiFi technology to detect indoor human motions. Once any indoor human motion is detected, the Alexa device is enabled to accept voice commands. Our evaluation results show that it can effectively differentiate indoor motions from the cases of no motion and outdoor motions in both the laboratory and real world settings.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Dec 2017.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 0; 2025: 1; 2026: 1.
5 papers.
- 2023Chatbots to ChatGPT in a Cybersecurity Space: Evolution, Vulnerabilities, Attacks, Challenges, and Future Recommendationscited by 8
- 2021SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systemscited by 4
- 2023Acoustic Cybersecurity: Exploiting Voice-Activated Systemscited by 0
- 2025ML Mule: Mobile-Driven Context-Aware Collaborative Learningcited by 0
- 2026From Acoustic Sensing to Physical Actions: A Comprehensive Survey of Security Risks in Edge-Deployed Audio LLM-Based Agentscited by 0
- 2026From Acoustic Sensing to Physical Actions: A Comprehensive Survey of Security Risks in Edge-Deployed Audio LLM-Based Agents11 Oct 2026
- 2025ML Mule: Mobile-Driven Context-Aware Collaborative Learning13 Jan 2025
- 2023Acoustic Cybersecurity: Exploiting Voice-Activated Systems23 Nov 2023
- 2023Chatbots to ChatGPT in a Cybersecurity Space: Evolution, Vulnerabilities, Attacks, Challenges, and Future Recommendations29 May 2023
- 2021SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems19 Mar 2021