Alexa versus Alexa: Controlling Smart Speakers by Self-Issuing Voice Commands
summary
The gist
The gist: We present Alexa versus Alexa (AvA), a novel attack that leverages audio files containing voice commands and audio reproduction methods in an offensive fashion, to gain control of Amazon
In short
The Alexa versus Alexa (AvA) attack exploits a vulnerability where an Amazon Echo device correctly interprets voice commands originating from audio files played by the device itself, known as a command self-issue vulnerability. This allows an attacker to remotely issue any permissible command, gaining prolonged control over the Echo and its connected smart devices without needing a physical speaker nearby. The research also introduced two related vulnerabilities: Full Volume and Break Tag Chain.
Key concepts
- Command Self-Issue Vulnerability
- This flaw means Alexa running on an Echo device will process voice commands even if those commands are generated by audio files played through the device's own speakers. This removes the need for a separate, physical speaker to be near the victim's Echo, making remote attacks much easier and more pervasive.
- Attack Vectors
- The paper identifies three ways an attacker can play audio on an Echo to exploit this vulnerability: using a radio station via Music and Radio skills, streaming audio via Bluetooth from another device, or playing SSML audio tags within a skill. The research focuses on the Radio Station and Bluetooth streaming as the most viable methods for remote control.
- Full Volume
- This is an additional vulnerability that increases the rate at which Alexa recognizes self-issued commands by doubling it on average. This allows attackers to issue more commands through this method, enhancing their ability to control devices remotely.
Terminology used across episodes
This episode discusses
- Alexa versus Alexa: Controlling Smart Speakers by Self-Issuing Voice Commands · Paper Radio
- Universal Adversarial Audio Perturbations
- Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems
- SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
- Did you hear that? Adversarial Examples Against Automatic Speech Recognition
- Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems
- ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech
- "Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills
The paper
Alexa versus Alexa: Controlling Smart Speakers by Self-Issuing Voice Commands · Read on arXiv
Royal Holloway, University of London · Università degli Studi di Catania
Transcript
Introduction to the show: ident: Security Radio. Generated commentary on the latest security and cryptography papers.
Nadia: Hi, I'm Nadia.
Elias: And I'm Elias, here with Priya.
Nadia: We're looking at the paper: "Alexa versus Alexa".
Elias: Here's the gist of the paper. The gist: We present Alexa versus Alexa (AvA), a novel attack that leverages audio files containing voice commands and audio reproduction methods in an offensive fashion, to gain control of Amazon Echo devices for a prolonged amount of time How it works The AvA attack leverages the fact that Alexa running on an Echo device correctly interprets voice commands originated from audio files even when they are played by the device itself, which is referred to as a command self-issue vulnerability This vulnerability removes the necessity of having a rogue speaker in proximity of the victim’s Echo, a constraint that many attacks share.
Nadia: With AvA, an attacker can self-issue any permissible command to Echo, controlling it on behalf of the legitimate user.
Elias: The attack starts when the Echo device begins streaming an audio file that contains voice commands.
Nadia: This can be done, for example, by opening a malicious skill that makes the Echo device tune in a radio station that streams such voice commands.
Paper summary: Nadia: So to recap, this paper presents Alexa versus Alexa as a novel attack using audio files and reproduction methods to gain prolonged control over Amazon Echo devices.
Elias: The central thesis is that AvA leverages a command self-issue vulnerability where Alexa interprets commands correctly even when the audio is played back by the device itself.
Priya: This bypasses the need for a rogue speaker nearby, which cuts down on one of the main requirements for many other types of attacks.
Nadia: With this method, an attacker can self-issue any command to Echo and control it as if they were the legitimate user.
Elias: They verified that via AvA, attackers can control smart appliances in a household, buy unwanted items on Amazon, and tamper with linked calendars.
Priya: The research also discovered two specific Echo vulnerabilities: Full Volume and Break Tag Chain.
Nadia: The Full Volume vulnerability increases the self-issue command recognition rate by doubling it on average, allowing for more self-issue commands.
Elias: The Break Tag Chain vulnerability increases the time a skill can run without user interaction from eight seconds to over an hour.
Priya: Essentially, these combined vulnerabilities allow an adversary to keep control of the device for a prolonged amount of time with high success rates.
Conclusion: Nadia: So, looking at Alexa versus Alexa, the authors are showing that exploiting internal audio handling mechanisms can lead to serious device compromise through self-issued commands.
Elias: The implication is that security teams need to be paying attention to how devices process audio streams internally for these kinds of vulnerabilities.
Priya: For the average person, it means being aware of the risks associated with using skills that involve playing audio on their Echo and understanding what those skills are allowed to do.
Nadia: It's about understanding that even seemingly harmless features can have exploitable pathways if they allow for self-issuance.
Elias: The authors identified these vulnerabilities, and while Amazon rated them Medium severity, the fact that they found ways to maintain control for hours is what makes this specific research interesting.
Priya: So in short, it highlights that the risk isn't just about external access; it’s about vulnerabilities built into how the device handles its own audio output.
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