AndroPRINT: Analysing the Fingerprintability of the Android API

Gerald Palfinger*, Bernd Prünster

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


In recent Android versions, access to various (unique) identifiers has been restricted or completely removed for third-party applications. However, many information sources can still be combined to create a fingerprint, effectively substituting the need for these unique identifiers. Until now, finding these fingerprintable sources required manually sifting through the API documentation to identify each information source individually. This paper presents AndroPRINT, a framework that automatically recognizes fingerprintable information sources on Android devices. For this purpose it automatically invokes methods, queries fields, and retrieves data from content providers. We show that this framework allows automating the elaborate task of finding such fingerprintable information sources in different experiments. In these experiments, a variety of information sources could be identified, which provide a vast amount of unique features for fingerprinting. Furthermore, AndroPRINT detected undocumented unique device identification features, which are a result of manufacturer adaptations. These vendor customisations even revealed personal data, such as the user’s email address and cryptographic keys used for cross-device communication. The fact that this information can be retrieved without the user noticing means that vendor customisations can effectively defeat the tight permission system of modern smartphone operating systems.
Translated title of the contributionAndroPRINT: Analyse der Fingerprintbarkeit der Android API
Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Availability, Reliability and Security, ARES 2020
Place of PublicationIreland
Number of pages10
ISBN (Electronic)9781450388337
Publication statusPublished - 25 Aug 2020
Event15th International Conference on Availability, Reliability and Security: ARES 2020 - Virtuell, Ireland
Duration: 25 Aug 202028 Aug 2020

Publication series

NameACM International Conference Proceeding Series


Conference15th International Conference on Availability, Reliability and Security
Abbreviated titleARES 2020


  • Android API
  • Automatic analysis
  • Fingerprinting
  • Unique identifier

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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  • A-SIT - Secure Information Technology Center Austria

    Stranacher, K., Dominikus, S., Leitold, H., Marsalek, A., Teufl, P., Bauer, W., Aigner, M. J., Rössler, T., Neuherz, E., Dietrich, K., Zefferer, T., Mangard, S., Payer, U., Orthacker, C., Lipp, P., Reiter, A., Knall, T., Bratko, H., Bonato, M., Suzic, B., Zwattendorfer, B., Kreuzhuber, S., Oswald, M. E., Tauber, A., Posch, R., Bratko, D., Feichtner, J., Ivkovic, M., Reimair, F., Wolkerstorfer, J. & Scheibelhofer, K.


    Project: Research area

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