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
- Anna University, Chennai (IN)
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
- 0.00