phishing
phishing-email-detection-distilbert_v2.4.1bert-finetuned-phishingphishing-email-detection-distilbert_v2.4.1-ONNXemail-phishing-distilbert-finetunedLlama-3.1-8B-Instruct-Phishing-Classification-i1-GGUFBERT-Phishing-Email-Modelphishing-email-detection-distilbert_v2.1Llama-3.2-1B-Instruct-phishing-detection-GGUF
Datasets
All datasets matching “phishing”phishing-email-dataset
Phishing Email Dataset
This dataset on Hugging Face is a direct copy of the 'Phishing Email Detection' dataset from Kaggle, shared under the GNU Lesser General Public License 3.0. The dataset was originally created by the user 'Cyber Cop' on Kaggle. For complete details, including licensing and usage information, please visit the original Kaggle page.
phishing-datasetDataset designed for phishing classification tasks in various data types.phishing-website-screenshots
Phishing Website Screenshots
A dataset of 8,370 full-page website screenshots labelled as legitimate or phishing, intended for training and evaluating visual phishing-detection models.
Contents
Label
label
Images
legitimate
0
7,924
phishing
1
446
Total
8,370
Screenshots were captured at a desktop viewport (1920×1080) as PNG images.
Structure
legitimate/<brand>/<page>.png
phishing/<source>/<page>.png
metadata.csv
metadata.csv… See the full description on the dataset page: https://huggingface.co/datasets/shresthsamyak/phishing-website-screenshots.seven-phishing-email-datasets
Dataset Card for Seven Phishing/Spam Email Datasets
Dataset Summary
This dataset is a unified, row-level email corpus built from seven commonly used public email datasets. It is intended for research on phishing/spam detection and related email-text classification tasks.
Each row contains the email body (text), optional header-like fields (e.g., sender, receiver, date), the source dataset name (dataset_name), and a binary label (label).
Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/puyang2025/seven-phishing-email-datasets.phishing_urlsPhishingURLsANDBenignURLs