Abstract

This paper presents “iCrawl”, a visual high interaction client honeypot system. Web-based cyber-attacks have increased exponentially along with the growth of cloud-based web application technologies. Web browsers provide users with an entry point to these web applications. The iCrawl system is designed to deliver a high interaction honey client that is virtually indistinguishable from a real human-driven client. The system operates by driving an actual web browser in a fashion closely resembling a genuine user’s actions. Unlike most crawlers iCrawl attempts to operate over visual elements on the web page, not code elements. The honeypot system consists of pre-configured decoy virtual machines. Each virtual machine includes spider program, which upon execution automates the process of driving the web browser and crawling the targeted website. It performs browsing by observing the page and simulating human user input through mouse and keyboard activity. The data collected from the crawling is stored in a graph database in the form of nodes and relations. This data captures the context and the changes in system behavior due to interaction with the crawled website. The graph data can be queried and monitored online for structural patterns and anomalies.

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