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Perez, G. (2020, December 23) JARM: A Solid Fingerprinting Tool for Detecting Malicious Servers. SecurityTrails.
https://securitytrails.com/blog/jarm-fingerprinting-Certis

has been cited by the following article:

• TITLE: Certis: Cloud Asset Management & Threat Evaluation Using Behavioral Fingerprinting at Application Layer

  AUTHORS: Kumardwij Bhatnagar, Vijay K. Madisetti

  KEYWORDS: Certis, SSL Certificate Parsing, JARM Fingerprinting, Anomaly Detection, Proactive Defense

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.17 No.6, June 7, 2024

  ABSTRACT: This paper introduces Certis, a powerful framework that addresses the challenges of cloud asset tracking, management, and threat detection in modern cybersecurity landscapes. It enhances asset identification and anomaly detection through SSL certificate parsing, cloud service provider integration, and advanced fingerprinting techniques like JARM at the application layer. Current work will focus on cross-layer malicious behavior identification to further enhance its capabilities, including minimizing false positives through AI-based learning techniques. Certis promises to offer a powerful solution for organizations seeking proactive cybersecurity defenses in the face of evolving threats.