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Persuasion and Phishing: Analysing the Interplay of Persuasion Tactics in Cyber Threats

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arxiv 2412.18485 v1 pith:J3NKHDWI submitted 2024-12-24 cs.CR cs.CYcs.HC

Persuasion and Phishing: Analysing the Interplay of Persuasion Tactics in Cyber Threats

classification cs.CR cs.CYcs.HC
keywords phishingemailspersuasionemailresearchferreiraprinciplessocial
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This study extends the research of Ferreira and Teles (2019), who synthesized works by Cialdini (2007), Gragg (2003), and Stajano and Wilson (2011) to propose a unique list of persuasion principles in social engineering. While Ferreira and Teles focused on email subject lines, this research analyzed entire email contents to identify principles of human persuasion in phishing emails. This study also examined the goals and targets of phishing emails, providing a novel contribution to the field. Applying these findings to the ontological model by Mouton et al. (2014) reveals that when social engineers use email for phishing, individuals are the primary targets. The goals are typically unauthorized access, followed by financial gain and service disruption, with Distraction as the most commonly used compliance principle. This research highlights the importance of understanding human persuasion in technology-mediated interactions to develop methods for detecting and preventing phishing emails before they reach users. Despite previous identification of luring elements in phishing emails, empirical findings have been inconsistent. For example, Akbar (2014) found 'authority' and 'scarcity' most common, while Ferreira et al. (2015) identified 'liking' and 'similarity.' In this study, 'Distraction' was most frequently used, followed by 'Deception,' 'Integrity,' and 'Authority.' This paper offers additional insights into phishing email tactics and suggests future solutions should leverage socio-technical principles. Future work will apply this methodology to other social engineering techniques beyond phishing emails, using the ontological model to further inform the research community.

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Cited by 1 Pith paper

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  1. Context-Aware Spear Phishing: Generative AI-Enabled Attacks Against Individuals via Public Social Media Data

    cs.CR 2026-05 conditional novelty 6.0

    Generative AI enables scalable, context-aware spear phishing by extracting profiles from public social media, producing emails that outperform real-world phishing samples in personalization and lower recipient suspicion.