Fingerprinting the Shadows: Unmasking Malicious Servers with Machine Learning-Powered TLS Analysis

Author:

Theofanous Andreas1ORCID,Papadogiannaki Eva2ORCID,Shevtsov Alexander2ORCID,Ioannidis Sotiris2ORCID

Affiliation:

1. Foundation for Research and Technology - Hellas, Heraklion, Greece

2. Technical University of Crete, Chania, Greece

Funder

European Commission

Publisher

ACM

Reference61 articles.

1. 2012. SSL Fingerprinting for p0f. https://idea.popcount.org/2012-06--17-sslfingerprinting-for-p0f/. Accessed: 2023-08--11.

2. 2016. FingerprinTLS. https://github.com/LeeBrotherston/tls-fingerprinting. Accessed: 2023-08--11.

3. 2019. https://tranco-list.eu/. Accessed: 2023-08--11.

4. 2019. HTTPS encryption on the web -- Google Transparency Report. https: //transparencyreport.google.com/https/overview?hl=en. Accessed on 2023-08-11.

5. 2020. JARM: A Solid Fingerprinting Tool for Detecting Malicious Servers. https: //securitytrails.com/blog/jarm-fingerprinting-tool. Accessed on 2023-08--11.

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