The Bluetooth CYBORG: Analysis of the Full Human-Machine Passkey Entry AKE Protocol

from a device, and adversarial ability to modify communications back from the user to the device (see Figure 1). We reference the Tap n’ Ghost attack as an illustrative example throughout, but it is not the only attack leveraging the UtD communication channel. Touchloggers [12], [16], the StrandHogg vulnerability [24], social engineering, and shoulder-surfing attacks also fall into this category. All such attack vectors are systematically accounted for in our CYBORG model. Bluetooth’s Passkey Entry [10] generates and shares a random value (a passkey ) via the user to effectively achieve Abstract —In this paper, we computationally analyze Passkey Entry in its entirety as a cryptographic authenticated key exchange (AKE) – including user-protocol interactions that are typically ignored as out-of-band. To achieve this, we model the user-to-device channels, as well as the typical device-to-device channel, and adversarial control scenarios in both cases. In particular, we separately capture adversarial control of device displays on the initiating and responding devices as well as adversarial control of user input mechanisms using what we call a CYBORG model. The CYBORG model enables realistic real-world security analysis in light of published attacks on user-mediated protocols such as Bluetooth that leverage malware and device displays. In light of this, we show that all versions of Passkey Entry fail to provide security in our model. Finally, we demonstrate how slight modifications to the protocol would allow it to achieve stronger security guarantees for all current variants of passkey generation, as well as a newly proposed twofold mode of generation we term Dual Passkey Entry . These proof-of-concept modifications point to improved design approaches for user-mediated protocols. Finally, this work points to categories of vulnerabilities, based on compromise type, that could be exploited in Bluetooth Passkey Entry.