PhishGuard-X Dataset Collection (PhishTank, OpenPhish, CICIoMT, Synthetic)

The PhishGuard-X Dataset Collection is a comprehensive compilation of phishing and benign URL data designed for research and development in phishing detection, threat intelligence, and cybersecurity. This dataset bundle integrates multiple trusted public sources, covering real-world phishing URLs, IoT-based phishing traffic, and synthetic samples, along with legitimate domains for comparison. Included Datasets: PhishTank Feed (2025)Verified, community-validated phishing URLs.Format: CSV OpenPhish FeedCurated phishing URLs with threat intelligence tagging.Format: TXT CIC-IoMT 2024 Dataset (Reference Only)IoT malware and phishing network traffic.Note: Due to temporary maintenance at the official site, a placeholder text file with the source link is provided.Source: https://www.unb.ca/cic/datasets/iomt-dataset-2024.html Benign Dataset (Alexa/Tranco Top 1M Domains)A baseline of legitimate domains for false positive reduction.Format: CSV Synthetic Samples (WGAN-generated)Artificial phishing URLs generated for data augmentation and model robustness.Format: CSV Use Cases: Training and benchmarking phishing detection models. Analyzing real-world phishing patterns. Studying IoT-related phishing vectors. Enhancing threat intelligence and response systems. License:MIT or CC-BY 4.0 (depending on your choice) — All included data sources are legally usable for research and educational purposes. See LICENSE.txt in the ZIP archive. Citation:Please cite the original data sources (PhishTank, OpenPhish, CIC, Tranco) when using this dataset in publications. Citation details are included in the README file within the dataset archive.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-25
DOI
https://doi.org/10.5281/zenodo.16421128
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
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article

PhishGuard-X Dataset Collection (PhishTank, OpenPhish, CICIoMT, Synthetic)

Zenodo (CERN European Organization for Nuclear Research)
Spam and Phishing Detection
article

PhishGuard-X Dataset Collection (PhishTank, OpenPhish, CICIoMT, Synthetic)

article en

Abstract

The PhishGuard-X Dataset Collection is a comprehensive compilation of phishing and benign URL data designed for research and development in phishing detection, threat intelligence, and cybersecurity. This dataset bundle integrates multiple trusted public sources, covering real-world phishing URLs, IoT-based phishing traffic, and synthetic samples, along with legitimate domains for comparison. Included Datasets: PhishTank Feed (2025)Verified, community-validated phishing URLs.Format: CSV OpenPhish FeedCurated phishing URLs with threat intelligence tagging.Format: TXT CIC-IoMT 2024 Dataset (Reference Only)IoT malware and phishing network traffic.Note: Due to temporary maintenance at the official site, a placeholder text file with the source link is provided.Source: https://www.unb.ca/cic/datasets/iomt-dataset-2024.html Benign Dataset (Alexa/Tranco Top 1M Domains)A baseline of legitimate domains for false positive reduction.Format: CSV Synthetic Samples (WGAN-generated)Artificial phishing URLs generated for data augmentation and model robustness.Format: CSV Use Cases: Training and benchmarking phishing detection models. Analyzing real-world phishing patterns. Studying IoT-related phishing vectors. Enhancing threat intelligence and response systems. License:MIT or CC-BY 4.0 (depending on your choice) — All included data sources are legally usable for research and educational purposes. See LICENSE.txt in the ZIP archive. Citation:Please cite the original data sources (PhishTank, OpenPhish, CIC, Tranco) when using this dataset in publications. Citation details are included in the README file within the dataset archive.

Zenodo (CERN European Organization for Nuclear Research)
Anna University, Chennai (IN)
Openalex Percentile: Top 45%
Spam and Phishing Detection
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PhishGuard-X Dataset Collection (PhishTank, OpenPhish, CICIoMT, Synthetic) · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS