---
pretty_name: PhishNet Website Features
task_categories:
- tabular-classification
tags:
- phishing
- cybersecurity
- tabular
---

# PhishNet Website Features

This is the 48,046-row `Dataset Alternating/final_dataset.csv` used by the [PhishNet GitHub project](https://github.com/lakshitha1629/PhishNet_Deep_Learning_for_Phishing_Detection). It contains numeric website features and a phishing class label.

## Columns

`ID`, `classLabelPhishing`, `favLabel`, `percentRequestUrls`, `URLLength`, `domainLabel`, and `dotsInDomain`.

The label column contains 19,388 rows with value `0` and 28,658 with value `1`. The source project describes the task as phishing website classification. The feature values are already encoded; this repository does not supply the original URLs or a feature-extraction specification.

## Limitations

The original repository does not document collection provenance, licensing, a fixed train/test split, or a benchmark result. The `ID` column is retained as in the source; consider excluding it when training to avoid learning from an identifier. Evaluate on independent, current sites before any practical security use.

## Source and related model

- [Original CSV](https://github.com/lakshitha1629/PhishNet_Deep_Learning_for_Phishing_Detection/blob/main/Dataset%20Alternating/final_dataset.csv)
- [Project source](https://github.com/lakshitha1629/PhishNet_Deep_Learning_for_Phishing_Detection)
- [Related model](https://huggingface.co/lakshitha1629/PhishNet-Phishing-Detection)