The home voice assistants such as Amazon Alexa have become increasingly popular due to many interesting voice-activated services provided through special applications called skills. These skills, though useful, have also introduced new security and privacy challenges. Prior work has verified that Alexa is vulnerable to multiple types of voice attacks, but the security and privacy risk of using skills has not been fully investigated. In this work, we study an adversary model that covers three severe privacy-related vulnerabilities, namely,over-privileged resource access, hidden code-manipulation and hidden content-manipulation. By exploiting these vulnerabilities, malicious skills can not only bypass the security tests in the vetting process, but also surreptitiously change their original functions in an attempt to steal users' personal information. What makes the situation even worse is that the attacks can be extended from virtual networks to the physical world. We systematically study the security issues from the feasibility and implementation of the attacks to the design of countermeasures. We also made a comprehensive survey study of 33,744 skills in Alex Skills Store.
翻译:亚马逊亚历山德拉等家庭语音助理由于通过称为技能的特殊应用程序提供许多有趣的语音活动服务而越来越受欢迎。这些技能虽然有用,但也带来了新的安全和隐私挑战。先前的工作证实亚历山德拉容易受到多种声音攻击,但使用技能的安全和隐私风险尚未得到充分调查。在这项工作中,我们研究了一个包括三种与隐私有关的严重弱点的对立模型,即:过度优惠的资源获取、隐藏的代码管理和隐藏的内容管理。通过利用这些弱点,恶意技能不仅可以绕过审查过程中的安全测试,而且还可以秘密改变其原始功能,企图窃取用户的个人信息。情况更糟的是,袭击可以从虚拟网络扩大到物理世界。我们系统地研究从攻击的可行性和实施到设计对策的安全问题。我们还对亚历克斯技能商店的33 744技能进行了全面调查研究。