Publication detail
Experience Report: Using JA4+ Fingerprints for Malware Detection in Encrypted Traffic
MATOUŠEK, P. RYŠAVÝ, O. BURGETOVÁ, I.
Original Title
Experience Report: Using JA4+ Fingerprints for Malware Detection in Encrypted Traffic
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
Detection of malware communications is limited due to encryption. Malware control, updates, and distribution are encapsulated in TLS tunnels, making it difficult to distinguish between malicious and benign transmissions. One way, how to detect malware communication, is to analyze the TLS handshake and obtain so-called JA4+ fingerprints. This report analyses the effectiveness of JA4+ fingerprints for malware detection, focusing specifically on the JA4, JA4S and JA4X fingerprints and their accuracy. It examines the process of creating malware fingerprints, explores the uniqueness of these fingerprints across different malware families and their ability to distinguish between malicious and benign applications. By examining the overlap and uniqueness, the study evaluates the effectiveness of using JA4+ fingerprints to detect malware in encrypted communications.
Authors
MATOUŠEK, P.; RYŠAVÝ, O.; BURGETOVÁ, I.
Released
7. 10. 2024
Pages count
5
URL
BibTex
@inproceedings{BUT189464,
author="Petr {Matoušek} and Ondřej {Ryšavý} and Ivana {Burgetová}",
title="Experience Report: Using JA4+ Fingerprints for Malware Detection in Encrypted Traffic",
year="2024",
pages="5",
url="https://www.fit.vut.cz/research/publication/13252/"
}Responsibility: Ing. Marek Strakoš