IoT Inspector Tool from Princeton
Researchers at Princeton University have released IoT Inspector, a tool that analyzes the security and privacy of IoT devices by examining the data they send across the Internet. They’ve already used the tool to study a bunch of different IoT devices. From their blog post:
Finding #3: Many IoT Devices Contact a Large and Diverse Set of Third Parties
In many cases, consumers expect that their devices contact manufacturers’ servers, but communication with other third-party destinations may not be a behavior that consumers expect.
We have found that many IoT devices communicate with third-party services, of which consumers are typically unaware. We have found many instances of third-party communications in our analyses of IoT device network traffic. Some examples include:
- Samsung Smart TV. During the first minute after power-on, the TV talks to Google Play, Double Click, Netflix, FandangoNOW, Spotify, CBS, MSNBC, NFL, Deezer, and Facebookeven though we did not sign in or create accounts with any of them.
- Amcrest WiFi Security Camera. The camera actively communicates with cellphonepush.quickddns.com using HTTPS. QuickDDNS is a Dynamic DNS service provider operated by Dahua. Dahua is also a security camera manufacturer, although Amcrest’s website makes no references to Dahua. Amcrest customer service informed us that Dahua was the original equipment manufacturer.
- Halo Smoke Detector. The smart smoke detector communicates with broker.xively.com. Xively offers an MQTT service, which allows manufacturers to communicate with their devices.
- Geeni Light Bulb. The Geeni smart bulb communicates with gw.tuyaus.com, which is operated by TuYa, a China-based company that also offers an MQTT service.
We also looked at a number of other devices, such as Samsung Smart Camera and TP-Link Smart Plug, and found communications with third parties ranging from NTP pools (time servers) to video storage services.
Their first two findings are that “Many IoT devices lack basic encryption and authentication” and that “User behavior can be inferred from encrypted IoT device traffic.” No surprises there.
Related: IoT Hall of Shame.
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