├── README.md
├── phishing.pkl
├── XGBoostClassifier.pickle.dat
├── main.py
├── main.ipynb
└── .github
    └── workflows
        └── python-package.yml


/README.md:
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1 | # Phishing-Website-Detection-using-Machine-Learning


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/phishing.pkl:
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https://raw.githubusercontent.com/BegangN/Phishing-Website-Detection-using-Machine-Learning/HEAD/phishing.pkl


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/XGBoostClassifier.pickle.dat:
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https://raw.githubusercontent.com/BegangN/Phishing-Website-Detection-using-Machine-Learning/HEAD/XGBoostClassifier.pickle.dat


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/main.py:
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 1 | import uvicorn
 2 | from fastapi import FastAPI
 3 | import joblib,os
 4 | 
 5 | app = FastAPI()
 6 | 
 7 | #pkl
 8 | phish_model = open('phishing.pkl','rb')
 9 | phish_model_ls = joblib.load(phish_model)
10 | 
11 | # ML Aspect
12 | @app.get('/predict/{feature}')
13 | async def predict(features):
14 | 	X_predict = []
15 | 	X_predict.append(str(features))
16 | 	y_Predict = phish_model_ls.predict(X_predict)
17 | 	if y_Predict == 'good':
18 | 		result = "This is a Phishing Site"
19 | 	else:
20 | 		result = "This is not a Phishing Site"
21 | 
22 | 	return (features, result)
23 | if __name__ == '__main__':
24 | 	uvicorn.run(app,host="127.0.0.1",port=8000)


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/main.ipynb:
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 1 | {
 2 |  "cells": [
 3 |   {
 4 |    "cell_type": "code",
 5 |    "execution_count": 1,
 6 |    "metadata": {},
 7 |    "outputs": [],
 8 |    "source": [
 9 |     "from fastapi import FastAPI\n",
10 |     "\n",
11 |     "app = FastAPI()\n",
12 |     "\n",
13 |     "\n",
14 |     "@app.get(\"/\")\n",
15 |     "async def root():\n",
16 |     "    return {\"message\": \"Hello World\"}"
17 |    ]
18 |   },
19 |   {
20 |    "cell_type": "code",
21 |    "execution_count": null,
22 |    "metadata": {},
23 |    "outputs": [],
24 |    "source": []
25 |   }
26 |  ],
27 |  "metadata": {
28 |   "kernelspec": {
29 |    "display_name": "Python 3",
30 |    "language": "python",
31 |    "name": "python3"
32 |   },
33 |   "language_info": {
34 |    "codemirror_mode": {
35 |     "name": "ipython",
36 |     "version": 3
37 |    },
38 |    "file_extension": ".py",
39 |    "mimetype": "text/x-python",
40 |    "name": "python",
41 |    "nbconvert_exporter": "python",
42 |    "pygments_lexer": "ipython3",
43 |    "version": "3.8.5"
44 |   }
45 |  },
46 |  "nbformat": 4,
47 |  "nbformat_minor": 4
48 | }
49 | 


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/.github/workflows/python-package.yml:
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 1 | # This workflow will install Python dependencies, run tests and lint with a variety of Python versions
 2 | # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
 3 | 
 4 | name: Python package
 5 | 
 6 | on:
 7 |   push:
 8 |     branches: [ "main" ]
 9 |   pull_request:
10 |     branches: [ "main" ]
11 | 
12 | jobs:
13 |   build:
14 | 
15 |     runs-on: ubuntu-latest
16 |     strategy:
17 |       fail-fast: false
18 |       matrix:
19 |         python-version: ["3.9", "3.10", "3.11"]
20 | 
21 |     steps:
22 |     - uses: actions/checkout@v4
23 |     - name: Set up Python ${{ matrix.python-version }}
24 |       uses: actions/setup-python@v3
25 |       with:
26 |         python-version: ${{ matrix.python-version }}
27 |     - name: Install dependencies
28 |       run: |
29 |         python -m pip install --upgrade pip
30 |         python -m pip install flake8 pytest
31 |         if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
32 |     - name: Lint with flake8
33 |       run: |
34 |         # stop the build if there are Python syntax errors or undefined names
35 |         flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
36 |         # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
37 |         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
38 |     - name: Test with pytest
39 |       run: |
40 |         pytest
41 | 


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