Automatic Extraction of Indicators of Compromise for Web Applications

Onur Catakoglu, Marco Balduzzi, Davide Balzarotti · 2016

Indicators of Compromise (IOCs) are forensic artifacts that are used as signs that a system has been compromised by an attack or that it has been infected with a particular malicious software. In this paper we propose for the first time an automated technique to extract and validate IOCs for web applications, by analyzing the information collected by a high-interaction honeypot.

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