MeAJOR: Merged email assets from joint open-source repositories

Despite advancements, phishing remains a dominant force in the cybercrime field. Phishing emails continue to pose a significant threat to cybersecurity by exploiting human vulnerabilities to breach the systems defenses, resulting in financial losses, data theft and reputational damage to both victims and organizations being impersonated. While Machine Learning models are effective at detecting phishing threats, their performance mainly depends on the quality and diversity of the training data. This article presents MeAJOR (Merged email Assets from Joint Open-source Repositories) Corpus, a multi-source phishing email dataset designed to overcome critical limitations in existing resources. It integrates 108,685 samples representing a varied number of phishing tactics and legitimate emails, with several statistical features. Both the body and subject of the email entries are anonymized with standard tokens to ensure data privacy and confidentiality, while preserving the original context for email phishing detection models.

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Publication Details

Journal
Data in Brief
Published
2026-02-16
DOI
https://doi.org/10.1016/j.dib.2026.112595
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

MeAJOR: Merged email assets from joint open-source repositories

João Vitorino, Eva Maia, Francisco Cardoso, Paulo Mendes et al.
Data in Brief
Spam and Phishing Detection
article

MeAJOR: Merged email assets from joint open-source repositories

João Vitorino, Eva Maia, Francisco Cardoso, Paulo Mendes, Isabel Praça
article en

Abstract

Despite advancements, phishing remains a dominant force in the cybercrime field. Phishing emails continue to pose a significant threat to cybersecurity by exploiting human vulnerabilities to breach the systems defenses, resulting in financial losses, data theft and reputational damage to both victims and organizations being impersonated. While Machine Learning models are effective at detecting phishing threats, their performance mainly depends on the quality and diversity of the training data. This article presents MeAJOR (Merged email Assets from Joint Open-source Repositories) Corpus, a multi-source phishing email dataset designed to overcome critical limitations in existing resources. It integrates 108,685 samples representing a varied number of phishing tactics and legitimate emails, with several statistical features. Both the body and subject of the email entries are anonymized with standard tokens to ensure data privacy and confidentiality, while preserving the original context for email phishing detection models.

Data in BriefVol. 65
Polytechnic Institute of Porto (PT)
Peace, Justice and strong institutions
Openalex Percentile: Top 67%
Spam and Phishing Detection
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MeAJOR: Merged email assets from joint open-source repositories — João Vitorino, Eva Maia, et al. · Data in Brief (2026) | TGRS Research Map | TGRS