Phishing Detection Model (FastText)
This is a lightweight FastText model trained to classify domain names as either phishing or clean. It uses supervised learning with wordNgrams=2 for better n-gram feature coverage.
Installation
Option 1: From Source
git clone https://github.com/facebookresearch/fastText.git
cd fastText
mkdir build && cd build
cmake ..
make
Option 2: Using pip (limited support)
pip install fasttext
⚠️ The pip version does not support all features. Compiling from source is recommended.
Usage
# Predict a single domain
echo "carreeffoursa.site" | ./fasttext predict phishing_model.bin -
Training Info
- Framework: FastText
- Labels:
__label__phishing,__label__clean - Epochs: 10
- Learning rate: 0.5
- wordNgrams: 2
📊 Training Data
The model was trained on mstfknn/phishing-domain-list-2m-plus, a dataset consisting of 2.000,000 domain names labeled as either phishing or clean.
Example
Input:
carreeffoursa.site
Output:
__label__phishing
License
MIT
🔗 Links
- Downloads last month
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from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("mstfknn/phishing-fasttext-model", "model.bin"))