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Generating Phishing Emails Using Graph Database

  • Nasim MalekiEmail author
  • Ali A. Ghorbani
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11879)

Abstract

We need Phishing Awareness Tools to train employees because existing anti-phishing filters are not 100% capable of detecting phishing attacks, especially zero-day attacks. Current awareness tools can make phishing campaigns targeting the employees, but they contain an only limited number of predefined email templates. In this work, we designed a framework and built a tool generating new phishing emails automatically from a graph database perspective. Then, we conducted a three-round experiment. We sent the automatically-generated emails to some uninformed members of our community. On average, 72.85% of victims opened the emails, the click-through rate was 54.05% among who opened the emails, and all recipients who completed the survey stated that the content of emails was meaningful. In this experiment, we also showed which parts of the email are more luring and what the result might be if emails are carefully-crafted or from a person of authority.

Keywords

Phishing email Phishing Awareness Tool Generating phishing email 

Notes

Acknowledgement

The authors generously acknowledge the funding from the Atlantic Canada Opportunity Agency (ACOA) through the Atlantic Innovation Fund (AIF) and through grant from the National Science and Engineering Research Council of Canada (NSERC) to Dr. Ghorbani.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Canadian Institute for Cybersecurity, Faculty of Computer ScienceUniversity of New BrunswickFrederictonCanada

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