Datasets:
|
Download README.md from lakshitha1629/PhishNet-Website-Features: direct link, hf CLI and curl.
- Browser
- Download file 1.51 kB
-
https://huggingface.co/datasets/lakshitha1629/PhishNet-Website-Features/resolve/main/README.md
- Command line
-
hf download hf://datasets/lakshitha1629/PhishNet-Website-Features/README.md
-
curl -L -o README.md https://huggingface.co/datasets/lakshitha1629/PhishNet-Website-Features/resolve/main/README.md
1.51 kB
| 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) | |