Community Targeted Phishing: A Middle Ground Between Massive and Spear Phishing Through Natural Language Generation

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2020Researchpeer-review

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Looking at today phishing panorama, we are able to identify two diametrically opposed approaches. On the one hand, massive phishing targets as many people as possible with generic and preformed texts. On the other hand, spear phishing targets high-value victims with hand-crafted emails. While nowadays these two worlds partially intersect, we envision a future where Natural Language Generation (NLG) techniques will enable attackers to target populous communities with machine-tailored emails. In this paper, we introduce what we call Community Targeted Phishing (CTP), alongside with some workflows that exhibit how NLG techniques can craft such emails. Furthermore, we show how Advanced NLG techniques could provide phishers new powerful tools to bring up to the surface new information from complex data-sets, and use such information to threaten victims’ private data.

Original languageEnglish
Title of host publicationProceedings of 6th International Conference in Software Engineering for Defence Applications - SEDA 2018
EditorsPaolo Ciancarini, Manuel Mazzara, Angelo Messina, Alberto Sillitti, Giancarlo Succi
Publication date1 Jan 2020
ISBN (Print)9783030146863
Publication statusPublished - 1 Jan 2020
Event6th International Conference in Software Engineering for Defence Applications, SEDA 2018 - Rome, Italy
Duration: 7 Jun 20188 Jun 2018


Conference6th International Conference in Software Engineering for Defence Applications, SEDA 2018
SeriesAdvances in Intelligent Systems and Computing
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Natural Language Generation, NLG, Phishing, Security

ID: 188451104