phishing_url
phishing_urlsPhishingURLsANDBenignURLsPhishing_urls
Dataset Card for "Phishing_urls"
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phishing-url
Dataset Description
The provided dataset includes 11430 URLs with 87 extracted features.The dataset are designed to be used as a benchmark for machine learning based phishing detection systems.The datatset is balanced, it containes exactly 50% phishing and 50% legitimate URLs.
Features are from three different classes:
56 extracted from the structure and syntax of URLs
24 extracted from the content of their correspondent pages
7 are extracetd by querying external services.
The… See the full description on the dataset page: https://huggingface.co/datasets/pirocheto/phishing-url.phishing_url_classification
Phishing URL Classification Dataset
This dataset contains URLs labeled as 'Safe' (0) or 'Not Safe' (1) for phishing detection tasks.
Dataset Summary
This dataset contains URLs labeled for phishing detection tasks. It's designed to help train and evaluate models that can identify potentially malicious URLs.
Dataset Creation
The dataset was synthetically generated using a custom script that creates both legitimate and potentially phishing URLs. This approach… See the full description on the dataset page: https://huggingface.co/datasets/imanoop7/phishing_url_classification.fed-phishing-urls
Dataset Card for Federated Phishing URLs
Dataset Summary
This dataset is a federated, non-IID phishing URL classification benchmark derived from two public Hugging Face datasets:
ealvaradob/phishing-dataset, using the urls.json file.
kmack/Phishing_urls, using the merged train+test+valid splits.
The resulting dataset contains URL strings, binary phishing labels, and a client_id field assigning each example to one of 100 simulated clients.
Client assignment is… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/fed-phishing-urls.