Tool for mobile app fingerprinting
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APR34219" target="_blank" >RIV/00216305:26230/20:PR34219 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/product/646/" target="_blank" >https://www.fit.vut.cz/research/product/646/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Tool for mobile app fingerprinting
Original language description
This tool computes JA3 and JA3S fingerprints for mobile apps using captured network communication. Originally, the method was developped by John Althouse and others, see https://engineering.salesforce.com/tls-fingerprinting-with-ja3-and-ja3s-24736285 5967. Here, we apply this method on mobile apps and observe reliability and stability of JA3 and JA3S fingerprints. The script creates JA3+JA3S fingerprint databased based on the given dataset with typical mobile app communication. For selection of fingerprints directly related to the app we use Server Name Indication (SNI) string obtained from TLS handshake. Depending on the app, the mobile app fingerprint is composed either by JA3+JA3S hashes only, or as combination of JA3+SNI or JA3+JA3S+SNI.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VI20172020062" target="_blank" >VI20172020062: Integrated platform for analysis of digital data from security incidents</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
ja3s-fingerprinting
Technical parameters
Zdrojové kódy, licence a kontakt jsou dostupné na https://github.com/matousp/ja3s-fingerprinting.
Economical parameters
Pro informace o licenčních podmínkách prosím kontaktujte: Mgr. Michaela Burianová, Výzkumné centrum informačních technologií, Fakulta informačních technologií VUT v Brně, Božetěchova 2, 612 66 Brno, 541 141 470.
Owner IČO
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Owner name
Fakulta informačních technologií