ArticleSN computer science2022
How Good Are We at Detecting a Phishing Attack? Investigating the Evolving Phishing Attack Email and Why It Continues to Successfully Deceive Society.
Article in SN computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Understanding phishing discussions on stack overflow and information security stack exchange.Scientific reports · 2025Article
- Phishing URL detection with neural networks: an empirical study.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phishing attacks are on the increase. The fact that our ways of living, studying and working have drastically changed as a result of the COVID pandemic (i.e., almost everything being done online) has created many new cyber security concerns. In particular, with the move to remote working, the number of phishing emails threatening employees has increased. The 2020 Phishing Attack Landscape Report (Greathorn: 2020 Phishing attack landscape. https://info.greathorn.com/report-2020-phishing-attack-landscape/, 2020) highlights a sharp increase in the frequency of attempted phishing attacks. In this paper, we are interested in how the phishing email attack has evolved to this very threatening state. In detail, we explore the current phishing attack characteristics especially the growing challenges that have emerged as a result of the COVID-19 pandemic. The paper documents a study that presented test participants with five different categories of emails (including phishing and non phishing) . The findings from the study show that participants, generally, found it difficult to detect modern phishing email attacks. Saying that, participants were alert to the spelling mistakes of the older phishing email attacks, sensitive information being requested from them and any slight change to what they were normally used to from an email. Moreover, we have found that people were not confident, worried and often dissatisfied with the current technologies available to protect them against phishing emails. In terms of trust, these feelings alerted us to the increasing severity of the phishing attack situation and just how vulnerable society has become/ still is.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.