Maximilian von Tschirschnitz (Technical University of Munich), Ludwig Peuckert (Technical University of Munich), Moritz Buhl (Technical University of Munich), Jens Grossklags (Technical University of Munich)

Previous works have shown that Bluetooth is susceptible to so-called Method Confusion attacks. These attacks manipulate devices into conducting conflicting key establishment methods, leading to compromised keys. An increasing amount of security-sensitive applications, like payment terminals, organizational asset tracking systems and conferencing technologies now rely on the availability of a technology like Bluetooth.
It is thus an urgent goal to find and validate a mitigation to these attacks or to provide an appropriate replacement for Bluetooth without introducing additional requirements
that exclude device or user groups.
Despite recent solution proposals, existing threat models overlook certain attack vectors or dismiss important scenarios and consequently suffer under new variants of Method Confusion.

We first propose an extended threat model that appreciates the root issue of Method Confusion and also considers multiple pairing attempts and one-sided pairings as security risks.
Evaluating existing solution proposals with our threat model, we are able to detect known Method Confusion attacks, and identify new vulnerabilities in previous solution proposals.
We demonstrate the viability of these attacks on real-world Bluetooth devices. We further discuss a novel solution approach offering enhanced security, while maintaining compatibility with existing hardware and Bluetooth user behavior.
We conduct a formal security proof of our proposal and implement it on commonplace Bluetooth hardware, positioning it as the currently most promising update proposal for Bluetooth.

View More Papers

Diffence: Fencing Membership Privacy With Diffusion Models

Yuefeng Peng (University of Massachusetts Amherst), Ali Naseh (University of Massachusetts Amherst), Amir Houmansadr (University of Massachusetts Amherst)

Read More

TME-Box: Scalable In-Process Isolation through Intel TME-MK Memory Encryption

Martin Unterguggenberger (Graz University of Technology), Lukas Lamster (Graz University of Technology), David Schrammel (Graz University of Technology), Martin Schwarzl (Cloudflare, Inc.), Stefan Mangard (Graz University of Technology)

Read More

Rethinking Trust in Forge-Based Git Security

Aditya Sirish A Yelgundhalli (New York University), Patrick Zielinski (New York University), Reza Curtmola (New Jersey Institute of Technology), Justin Cappos (New York University)

Read More

User Comprehension and Comfort with Eye-Tracking and Hand-Tracking Permissions...

Kaiming Cheng (University of Washington), Mattea Sim (Indiana University), Tadayoshi Kohno (University of Washington), Franziska Roesner (University of Washington)

Read More