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Published on: June 10, 2021
Spanish phishing and legitimate email dataset with technical and psychological annotations
Lázaro Bustio-Martínez1, Viviana Inés Fuentes-Fuentes2, Luisa Fernanda Agudelo Fuentes1
1Department of Engineering, Universidad Iberoamericana Mexico City (IBERO), Prolongación Paseo de la Reforma 880, Colonia Lomas de Santa Fe C.P. 01219, Álvaro Obregón, Mexico City, Mexico.
None:
The SpaPhish dataset is a curated corpus of 1395 anonymized Spanish-language emails collected from the personal and institutional inboxes of the dataset authors. The collection comprises 731 phishing messages and 664 legitimate communications, spanning 2014-2025. Each record integrates raw textual content (subject and body), derived technical metadata, and psychological annotations. Technical variables include extracted URLs (url_count, urls), routing depth (hops_count), and attachment metadata (attachments_count, types, and size-related fields). All personally identifying elements were anonymized through manual redaction and controlled substitution to preserve readability while preventing re-identification. A central component of SpaPhish is the persuasion-annotation layer aligned with Ana Ferreira's Principles of Persuasion framework. Three independent annotators performed a triple-blind protocol, assigning binary presence labels (0/1) for five dimensions (Authority, Social Proof, Liking/Similarity/Deception, Commitment/Integrity/Reciprocation, and Distraction), accompanied by brief Spanish justifications and consolidated consensus labels. SpaPhish supports Spanish-language phishing research, hybrid text-metadata modeling, and annotation reliability studies, and enables explainable analyses grounded in human-provided evidence. The dataset is publicly available in Mendeley Data as "SpaPhish: A Spanish Dataset for Phishing and Psychological Pattern Detection" (version 5, doi:10.17632/hz2d6gz7pc.5; https://data.mendeley.com/datasets/hz2d6gz7pc/5).
