Breaching the Human Firewall: Social engineering in Phishing and Spear-Phishing Emails
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Abstract (arXiv)
We examined the influence of three social engineering strategies on users' judgments of how safe it is to click on a link in an email. The three strategies examined were authority, scarcity and social proof, and the emails were either genuine, phishing or spear-phishing. Of the three strategies, the use of authority was the most effective strategy in convincing users that a link in an email was safe. When detecting phishing and spear-phishing emails, users performed the worst when the emails used the authority principle and performed best when social proof was present. Overall, users struggled to distinguish between genuine and spear-phishing emails. Finally, users who were less impulsive in making decisions generally were less likely to judge a link as safe in the fraudulent emails. Implications for education and training are discussed.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 May 2016.
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Citing papers per year: 2023: 1; 2024: 3; 2025: 2; 2026: 1.
7 papers.
- 2024Analysis and prevention of AI-based phishing email attackscited by 6
- 2024Prompted Contextual Vectors for Spear-Phishing Detectioncited by 5
- 2023New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Modelscited by 4
- 2025SEAR: A Multimodal Dataset for Analyzing AR-LLM-Driven Social Engineering Behaviorscited by 2
- 2024Assessing AI-Generated vs. Human-Authored Spear Phishing SMS Attacks: An Empirical Studycited by 1
- 2025The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detectioncited by 1
- 2026Assessing Spear-Phishing Website Generation in Large Language Model Coding Agentscited by 0
- 2026Assessing Spear-Phishing Website Generation in Large Language Model Coding Agents13 Feb 2026
- 2025The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection19 Sep 2025
- 2025SEAR: A Multimodal Dataset for Analyzing AR-LLM-Driven Social Engineering Behaviors30 May 2025
- 2024Assessing AI-Generated vs. Human-Authored Spear Phishing SMS Attacks: An Empirical Study18 Jun 2024
- 2024Analysis and prevention of AI-based phishing email attacks8 May 2024
- 2024Prompted Contextual Vectors for Spear-Phishing Detection13 Feb 2024
- 2023New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models15 Oct 2023