README.md

metadata

license: apache-2.0
language:
  - en
tags:
  - cybersecurity
  - AI
pretty_name: url_defanged
size_categories:
  - 1K<n<10K

🛡️ Phishing vs Legitimate URLs Dataset

This dataset contains phishing-like and legitimate URLs designed for training and fine-tuning machine learning models (e.g., BERT) to detect phishing attempts.
All phishing samples are defanged (e.g., hxxps://example[.]com) to ensure safety when browsing the dataset.

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📂 Dataset Structure

The dataset includes the following columns:

• url_defanged (string) → The URL in a safe format (hxxps://, [.] instead of .)

• label (int) →

  • 1 → Phishing-like URL
  • 0 → Legitimate URL

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📌 Usage

You can load the dataset directly with the 🤗 Datasets library:

from datasets import load_dataset

# Load mixed dataset
dataset = load_dataset("Gamortsey/url_defanged", split="train")

print(dataset[0])