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OpenHaystack: A Framework for Tracking Personal Bluetooth Devices via Apple's Massive Find My Network

Heinrich, Alexander ; Stute, Milan ; Hollick, Matthias (2021)
OpenHaystack: A Framework for Tracking Personal Bluetooth Devices via Apple's Massive Find My Network.
14th ACM Conference on Security and Privacy in Wireless and Mobile Networks. Abu Dhabi, United Arab Emirates (28.06.–01.07.2021)
doi: 10.1145/3448300.3468251
Conference or Workshop Item, Bibliographie

Abstract

OpenHaystack is an open-source framework for locating personal Bluetooth devices using Apple’s Find My Network. A user can integrate it into Bluetooth-capable devices, such as notebooks, or create custom tracking accessories that can be attached to personal items (key rings, backpacks, etc.). We provide firmware images for the Nordic nRF5 chips and the ESP32. We show that they consume little energy and run from a single coin cell for a year. Our macOS application can locate personal accessories. Finally, we make both application and firmware available on GitHub.

Item Type: Conference or Workshop Item
Erschienen: 2021
Creators: Heinrich, Alexander ; Stute, Milan ; Hollick, Matthias
Type of entry: Bibliographie
Title: OpenHaystack: A Framework for Tracking Personal Bluetooth Devices via Apple's Massive Find My Network
Language: English
Date: 28 June 2021
Publisher: ACM
Book Title: WiSec ’21: Proceedings of the 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks
Event Title: 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks
Event Location: Abu Dhabi, United Arab Emirates
Event Dates: 28.06.–01.07.2021
DOI: 10.1145/3448300.3468251
Corresponding Links:
Abstract:

OpenHaystack is an open-source framework for locating personal Bluetooth devices using Apple’s Find My Network. A user can integrate it into Bluetooth-capable devices, such as notebooks, or create custom tracking accessories that can be attached to personal items (key rings, backpacks, etc.). We provide firmware images for the Nordic nRF5 chips and the ESP32. We show that they consume little energy and run from a single coin cell for a year. Our macOS application can locate personal accessories. Finally, we make both application and firmware available on GitHub.

Uncontrolled Keywords: ATHENE, emergenCITY_KOM
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Sichere Mobile Netze
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
TU-Projects: HMWK|III L6-519/03/05.001-(0016)|emergenCity TP Bock
Date Deposited: 02 Jul 2021 09:07
Last Modified: 02 Jul 2021 09:07
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