Phishing_Site_URLs_.ipynb

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      "source": [
        "import pandas as pd # use for data manipulation and analysis\n",
        "import numpy as np # use for multi-dimensional array and matrix\n",
        "\n",
        "import seaborn as sns # use for high-level interface for drawing attractive and informative statistical graphics\n",
        "import matplotlib.pyplot as plt # It provides an object-oriented API for embedding plots into applications\n",
        "%matplotlib inline\n",
        "# It sets the backend of matplotlib to the 'inline' backend:\n",
        "import time # calculate time\n",
        "\n",
        "from sklearn.linear_model import LogisticRegression # algo use to predict good or bad\n",
        "from sklearn.naive_bayes import MultinomialNB # nlp algo use to predict good or bad\n",
        "\n",
        "from sklearn.model_selection import train_test_split # spliting the data between feature and target\n",
        "from sklearn.metrics import classification_report # gives whole report about metrics (e.g, recall,precision,f1_score,c_m)\n",
        "from sklearn.metrics import confusion_matrix # gives info about actual and predict\n",
        "from nltk.tokenize import RegexpTokenizer # regexp tokenizers use to split words from text\n",
        "from nltk.stem.snowball import SnowballStemmer # stemmes words\n",
        "from sklearn.feature_extraction.text import CountVectorizer # create sparse matrix of words using regexptokenizes\n",
        "from sklearn.pipeline import make_pipeline # use for combining all prerocessors techniuqes and algos\n",
        "\n",
        "from PIL import Image # getting images in notebook\n",
        "# from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator# creates words colud\n",
        "\n",
        "from bs4 import BeautifulSoup # use for scraping the data from website\n",
        "from selenium import webdriver # use for automation chrome\n",
        "import networkx as nx # for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.\n",
        "\n",
        "import pickle# use to dump model\n",
        "\n",
        "import warnings # ignores pink warnings\n",
        "warnings.filterwarnings('ignore')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZAxKJkSq_bcO"
      },
      "source": [
        "* **Did some surfing and found some websites offering malicious links.** And found some datasets"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": true,
        "id": "I0_HXWkO_bcO"
      },
      "outputs": [],
      "source": [
        "phishing_data1 = pd.read_csv('phishing_urls.csv',usecols=['domain','label'],encoding='latin1', error_bad_lines=False)\n",
        "phishing_data1.columns = ['URL','Label']\n",
        "phishing_data2 = pd.read_csv('phishing_data.csv')\n",
        "phishing_data2.columns = ['URL','Label']\n",
        "phishing_data3 = pd.read_csv('phishing_data2.csv')\n",
        "phishing_data3.columns = ['URL','Label']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Do-kQJWo_bcO"
      },
      "outputs": [],
      "source": [
        "for l in range(len(phishing_data1.Label)):\n",
        "    if phishing_data1.Label.loc[l] == '1.0':\n",
        "        phishing_data1.Label.loc[l] = 'bad'\n",
        "    else:\n",
        "        phishing_data1.Label.loc[l] = 'good'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cTLfVSPZ_bcO"
      },
      "source": [
        "* **Concatenate All datasets in one.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "O_-RR5eB_bcP"
      },
      "outputs": [],
      "source": [
        "frames = [phishing_data1, phishing_data2, phishing_data3]\n",
        "phishing_urls = pd.concat(frames)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Xc9_PO1S_bcP"
      },
      "outputs": [],
      "source": [
        "#saving dataset\n",
        "phishing_urls.to_csv(r'phishing_site_urls.csv', index = False)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R-Kwj3P6_bcP"
      },
      "source": [
        "* **Loading the main dataset.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "r8aQEziR_bcP"
      },
      "outputs": [],
      "source": [
        "phish_data = pd.read_csv('phishing_site_urls.csv')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "m8MLSn4eBDBy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": false,
        "id": "VjJqXhKz_bcQ",
        "outputId": "df162d3d-f712-4c1d-d21c-1df497c21bf6"
      },
      "outputs": [
        {
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>nobell.it/70ffb52d079109dca5664cce6f317373782/...</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrc...</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>serviciosbys.com/paypal.cgi.bin.get-into.herf....</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>mail.printakid.com/www.online.americanexpress....</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>thewhiskeydregs.com/wp-content/themes/widescre...</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                 URL Label\n",
              "0  nobell.it/70ffb52d079109dca5664cce6f317373782/...   bad\n",
              "1  www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrc...   bad\n",
              "2  serviciosbys.com/paypal.cgi.bin.get-into.herf....   bad\n",
              "3  mail.printakid.com/www.online.americanexpress....   bad\n",
              "4  thewhiskeydregs.com/wp-content/themes/widescre...   bad"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "phish_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "D0pfR4zB_bcR",
        "outputId": "0f79e158-5b61-4463-f597-ef47d7b91d8b"
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      "outputs": [
        {
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>549341</td>\n",
              "      <td>23.227.196.215/</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>549342</td>\n",
              "      <td>apple-checker.org/</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>549343</td>\n",
              "      <td>apple-iclods.org/</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>549344</td>\n",
              "      <td>apple-uptoday.org/</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>549345</td>\n",
              "      <td>apple-search.info</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "                       URL Label\n",
              "549341     23.227.196.215/   bad\n",
              "549342  apple-checker.org/   bad\n",
              "549343   apple-iclods.org/   bad\n",
              "549344  apple-uptoday.org/   bad\n",
              "549345   apple-search.info   bad"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "phish_data.tail()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 549346 entries, 0 to 549345\n",
            "Data columns (total 2 columns):\n",
            "URL      549346 non-null object\n",
            "Label    549346 non-null object\n",
            "dtypes: object(2)\n",
            "memory usage: 8.4+ MB\n"
          ]
        }
      ],
      "source": [
        "phish_data.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ufglj2-6_bcS"
      },
      "source": [
        "* **About dataset**\n",
        "* Data is containg 5,49,346 unique entries.\n",
        "* There are two columns.\n",
        "* Label column is prediction col which has 2 categories\n",
        "    A. Good - which means the urls is not containing malicious stuff and **this site is not a Phishing Site.**\n",
        "    B. Bad - which means the urls contains malicious stuffs and **this site isa Phishing Site.**\n",
        "* There is no missing value in the dataset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": true,
        "id": "UjuSc_r7_bcS",
        "outputId": "f70313f4-092d-4c9e-e84b-1799ba0d7bb8"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "URL      0\n",
              "Label    0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "phish_data.isnull().sum() # there is no missing values"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Lyo7n3ba_bcT"
      },
      "source": [
        "* **Since it is classification problems so let's see the classes are balanced or imbalances**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PzyycnRV_bcT"
      },
      "outputs": [],
      "source": [
        "#create a dataframe of classes counts\n",
        "label_counts = pd.DataFrame(phish_data.Label.value_counts())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "h1xlbWTj_bcT",
        "outputId": "c42aa387-a106-4474-ede2-03e9f459e8c7"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x15e4f1821f0>"
            ]
          },
          "execution_count": 20,
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          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#visualizing target_col\n",
        "sns.set_style('darkgrid')\n",
        "sns.barplot(label_counts.index,label_counts.Label)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z3wxezcD_bcT"
      },
      "source": [
        "### Preprocessing"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "negi_3op_bcU"
      },
      "source": [
        "* **Now that we have the data, we have to vectorize our URLs. We use CountVectorizer and gather words using tokenizer. Then we convert the URLs into a vector form.**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HwnMaT4c_bcU"
      },
      "source": [
        "#### RegexpTokenizer\n",
        "* A tokenizer that splits a string using a regular expression, which matches either the tokens or the separators between tokens."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mwz65yeA_bcU"
      },
      "outputs": [],
      "source": [
        "tokenizer = RegexpTokenizer(r'[A-Za-z]+')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "woR8PqtU_bcU",
        "outputId": "a4a61940-690f-467b-924c-2729b899409e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'nobell.it/70ffb52d079109dca5664cce6f317373782/login.SkyPe.com/en/cgi-bin/verification/login/70ffb52d079109dca5664cce6f317373/index.php?cmd=_profile-ach&outdated_page_tmpl=p/gen/failed-to-load&nav=0.5.1&login_access=1322408526'"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "phish_data.URL[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "E0O30yRo_bcU",
        "outputId": "9cd03ec9-038b-48c4-c6a1-758d523252e0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['nobell',\n",
              " 'it',\n",
              " 'ffb',\n",
              " 'd',\n",
              " 'dca',\n",
              " 'cce',\n",
              " 'f',\n",
              " 'login',\n",
              " 'SkyPe',\n",
              " 'com',\n",
              " 'en',\n",
              " 'cgi',\n",
              " 'bin',\n",
              " 'verification',\n",
              " 'login',\n",
              " 'ffb',\n",
              " 'd',\n",
              " 'dca',\n",
              " 'cce',\n",
              " 'f',\n",
              " 'index',\n",
              " 'php',\n",
              " 'cmd',\n",
              " 'profile',\n",
              " 'ach',\n",
              " 'outdated',\n",
              " 'page',\n",
              " 'tmpl',\n",
              " 'p',\n",
              " 'gen',\n",
              " 'failed',\n",
              " 'to',\n",
              " 'load',\n",
              " 'nav',\n",
              " 'login',\n",
              " 'access']"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# this will be pull letter which matches to expression\n",
        "tokenizer.tokenize(phish_data.URL[0]) # using first row"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "aJker6EY_bcU",
        "outputId": "43d9fe5c-03a4-46b6-8a39-a4efb729e36f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Getting words tokenized ...\n",
            "Time taken 4.382057999999915 sec\n"
          ]
        }
      ],
      "source": [
        "print('Getting words tokenized ...')\n",
        "t0= time.perf_counter()\n",
        "phish_data['text_tokenized'] = phish_data.URL.map(lambda t: tokenizer.tokenize(t)) # doing with all rows\n",
        "t1 = time.perf_counter() - t0\n",
        "print('Time taken',t1 ,'sec')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2vLGFpee_bcV",
        "outputId": "e8218d34-8b82-4246-ce72-e8c7f6dd0b49"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "      <th>text_tokenized</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>123763</td>\n",
              "      <td>harborexpressservices.com/xlrmp/check/</td>\n",
              "      <td>bad</td>\n",
              "      <td>[harborexpressservices, com, xlrmp, check]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>520402</td>\n",
              "      <td>cds-chartreuse.fr/locales/sancho.tar.gz</td>\n",
              "      <td>bad</td>\n",
              "      <td>[cds, chartreuse, fr, locales, sancho, tar, gz]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>545878</td>\n",
              "      <td>adminzv.ru/xaRAUXHZ9r/oPOtm6hU7.php</td>\n",
              "      <td>bad</td>\n",
              "      <td>[adminzv, ru, xaRAUXHZ, r, oPOtm, hU, php]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>84771</td>\n",
              "      <td>www.hootech.com/WinTail/</td>\n",
              "      <td>good</td>\n",
              "      <td>[www, hootech, com, WinTail]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60932</td>\n",
              "      <td>bellsouthpwp.net/g/y/gypsyfairy32425/</td>\n",
              "      <td>good</td>\n",
              "      <td>[bellsouthpwp, net, g, y, gypsyfairy]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                            URL Label  \\\n",
              "123763   harborexpressservices.com/xlrmp/check/   bad   \n",
              "520402  cds-chartreuse.fr/locales/sancho.tar.gz   bad   \n",
              "545878      adminzv.ru/xaRAUXHZ9r/oPOtm6hU7.php   bad   \n",
              "84771                  www.hootech.com/WinTail/  good   \n",
              "60932     bellsouthpwp.net/g/y/gypsyfairy32425/  good   \n",
              "\n",
              "                                         text_tokenized  \n",
              "123763       [harborexpressservices, com, xlrmp, check]  \n",
              "520402  [cds, chartreuse, fr, locales, sancho, tar, gz]  \n",
              "545878       [adminzv, ru, xaRAUXHZ, r, oPOtm, hU, php]  \n",
              "84771                      [www, hootech, com, WinTail]  \n",
              "60932             [bellsouthpwp, net, g, y, gypsyfairy]  "
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "phish_data.sample(5)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IqjFJZsk_bcV"
      },
      "source": [
        "#### SnowballStemmer\n",
        "* Snowball is a small string processing language, gives root words"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qQXCbsHY_bcV"
      },
      "outputs": [],
      "source": [
        "stemmer = SnowballStemmer(\"english\") # choose a language"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Rm6X6fGr_bcV",
        "outputId": "500ed4ba-5ab4-4252-e89c-f2c3e685d7c6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Getting words stemmed ...\n",
            "Time taken 178.71395260000008 sec\n"
          ]
        }
      ],
      "source": [
        "print('Getting words stemmed ...')\n",
        "t0= time.perf_counter()\n",
        "phish_data['text_stemmed'] = phish_data['text_tokenized'].map(lambda l: [stemmer.stem(word) for word in l])\n",
        "t1= time.perf_counter() - t0\n",
        "print('Time taken',t1 ,'sec')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": true,
        "id": "WLXw_n2N_bcW",
        "outputId": "fdc75b39-236a-4cab-93db-697ff87441a1"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "      <th>text_tokenized</th>\n",
              "      <th>text_stemmed</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>314008</td>\n",
              "      <td>detroitlionsticket.com/</td>\n",
              "      <td>good</td>\n",
              "      <td>[detroitlionsticket, com]</td>\n",
              "      <td>[detroitlionsticket, com]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>502478</td>\n",
              "      <td>pertclinic.com/qsipz9g</td>\n",
              "      <td>bad</td>\n",
              "      <td>[pertclinic, com, qsipz, g]</td>\n",
              "      <td>[pertclin, com, qsipz, g]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>423029</td>\n",
              "      <td>revolutionmyspace.com/pictures-1/ami_dolenz</td>\n",
              "      <td>good</td>\n",
              "      <td>[revolutionmyspace, com, pictures, ami, dolenz]</td>\n",
              "      <td>[revolutionmyspac, com, pictur, ami, dolenz]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>236352</td>\n",
              "      <td>ryanscottfrost.com/</td>\n",
              "      <td>good</td>\n",
              "      <td>[ryanscottfrost, com]</td>\n",
              "      <td>[ryanscottfrost, com]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>227770</td>\n",
              "      <td>photobucket.com/images/matsumoto%20jun/</td>\n",
              "      <td>good</td>\n",
              "      <td>[photobucket, com, images, matsumoto, jun]</td>\n",
              "      <td>[photobucket, com, imag, matsumoto, jun]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                URL Label  \\\n",
              "314008                      detroitlionsticket.com/  good   \n",
              "502478                       pertclinic.com/qsipz9g   bad   \n",
              "423029  revolutionmyspace.com/pictures-1/ami_dolenz  good   \n",
              "236352                          ryanscottfrost.com/  good   \n",
              "227770      photobucket.com/images/matsumoto%20jun/  good   \n",
              "\n",
              "                                         text_tokenized  \\\n",
              "314008                        [detroitlionsticket, com]   \n",
              "502478                      [pertclinic, com, qsipz, g]   \n",
              "423029  [revolutionmyspace, com, pictures, ami, dolenz]   \n",
              "236352                            [ryanscottfrost, com]   \n",
              "227770       [photobucket, com, images, matsumoto, jun]   \n",
              "\n",
              "                                        text_stemmed  \n",
              "314008                     [detroitlionsticket, com]  \n",
              "502478                     [pertclin, com, qsipz, g]  \n",
              "423029  [revolutionmyspac, com, pictur, ami, dolenz]  \n",
              "236352                         [ryanscottfrost, com]  \n",
              "227770      [photobucket, com, imag, matsumoto, jun]  "
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "phish_data.sample(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bWItrqTH_bcW",
        "outputId": "f20dd64d-95a4-43a1-e79b-f5c4676523fb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Getting joiningwords ...\n",
            "Time taken 0.7240019999999276 sec\n"
          ]
        }
      ],
      "source": [
        "print('Getting joiningwords ...')\n",
        "t0= time.perf_counter()\n",
        "phish_data['text_sent'] = phish_data['text_stemmed'].map(lambda l: ' '.join(l))\n",
        "t1= time.perf_counter() - t0\n",
        "print('Time taken',t1 ,'sec')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5hsA0fkv_bcX",
        "outputId": "62739a6d-2d9f-4b0f-9fad-0285044d84c0"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "      <th>text_tokenized</th>\n",
              "      <th>text_stemmed</th>\n",
              "      <th>text_sent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>342349</td>\n",
              "      <td>freebase.com/view/en/new_zealand_womens_nation...</td>\n",
              "      <td>good</td>\n",
              "      <td>[freebase, com, view, en, new, zealand, womens...</td>\n",
              "      <td>[freebas, com, view, en, new, zealand, women, ...</td>\n",
              "      <td>freebas com view en new zealand women nation s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>353662</td>\n",
              "      <td>homefinder.com/CA/Torrance/61177522d_5500_Torr...</td>\n",
              "      <td>good</td>\n",
              "      <td>[homefinder, com, CA, Torrance, d, Torrance, B...</td>\n",
              "      <td>[homefind, com, ca, torranc, d, torranc, blvd, b]</td>\n",
              "      <td>homefind com ca torranc d torranc blvd b</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>483946</td>\n",
              "      <td>ib.adnxs.com/tt?id=2063435&amp;size=728x90&amp;referre...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[ib, adnxs, com, tt, id, size, x, referrer, ht...</td>\n",
              "      <td>[ib, adnx, com, tt, id, size, x, referr, http,...</td>\n",
              "      <td>ib adnx com tt id size x referr http www world...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>519398</td>\n",
              "      <td>system-check-abevbrye.in/</td>\n",
              "      <td>bad</td>\n",
              "      <td>[system, check, abevbrye, in]</td>\n",
              "      <td>[system, check, abevbry, in]</td>\n",
              "      <td>system check abevbry in</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>153443</td>\n",
              "      <td>bsbiz.eu/?p=278</td>\n",
              "      <td>good</td>\n",
              "      <td>[bsbiz, eu, p]</td>\n",
              "      <td>[bsbiz, eu, p]</td>\n",
              "      <td>bsbiz eu p</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                      URL Label  \\\n",
              "342349  freebase.com/view/en/new_zealand_womens_nation...  good   \n",
              "353662  homefinder.com/CA/Torrance/61177522d_5500_Torr...  good   \n",
              "483946  ib.adnxs.com/tt?id=2063435&size=728x90&referre...   bad   \n",
              "519398                          system-check-abevbrye.in/   bad   \n",
              "153443                                    bsbiz.eu/?p=278  good   \n",
              "\n",
              "                                           text_tokenized  \\\n",
              "342349  [freebase, com, view, en, new, zealand, womens...   \n",
              "353662  [homefinder, com, CA, Torrance, d, Torrance, B...   \n",
              "483946  [ib, adnxs, com, tt, id, size, x, referrer, ht...   \n",
              "519398                      [system, check, abevbrye, in]   \n",
              "153443                                     [bsbiz, eu, p]   \n",
              "\n",
              "                                             text_stemmed  \\\n",
              "342349  [freebas, com, view, en, new, zealand, women, ...   \n",
              "353662  [homefind, com, ca, torranc, d, torranc, blvd, b]   \n",
              "483946  [ib, adnx, com, tt, id, size, x, referr, http,...   \n",
              "519398                       [system, check, abevbry, in]   \n",
              "153443                                     [bsbiz, eu, p]   \n",
              "\n",
              "                                                text_sent  \n",
              "342349  freebas com view en new zealand women nation s...  \n",
              "353662           homefind com ca torranc d torranc blvd b  \n",
              "483946  ib adnx com tt id size x referr http www world...  \n",
              "519398                            system check abevbry in  \n",
              "153443                                         bsbiz eu p  "
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "phish_data.sample(5)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0HgMCF-u_bcX"
      },
      "source": [
        "### Visualization\n",
        "**1. Visualize some important keys using word cloud**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VlqN_vta_bcX"
      },
      "outputs": [],
      "source": [
        "#sliceing classes\n",
        "bad_sites = phish_data[phish_data.Label == 'bad']\n",
        "good_sites = phish_data[phish_data.Label == 'good']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QT7SQHtK_bcX",
        "outputId": "7b880853-0051-49f5-ba17-2154feab3843"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "      <th>text_tokenized</th>\n",
              "      <th>text_stemmed</th>\n",
              "      <th>text_sent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>nobell.it/70ffb52d079109dca5664cce6f317373782/...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[nobell, it, ffb, d, dca, cce, f, login, SkyPe...</td>\n",
              "      <td>[nobel, it, ffb, d, dca, cce, f, login, skype,...</td>\n",
              "      <td>nobel it ffb d dca cce f login skype com en cg...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrc...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[www, dghjdgf, com, paypal, co, uk, cycgi, bin...</td>\n",
              "      <td>[www, dghjdgf, com, paypal, co, uk, cycgi, bin...</td>\n",
              "      <td>www dghjdgf com paypal co uk cycgi bin webscrc...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>serviciosbys.com/paypal.cgi.bin.get-into.herf....</td>\n",
              "      <td>bad</td>\n",
              "      <td>[serviciosbys, com, paypal, cgi, bin, get, int...</td>\n",
              "      <td>[serviciosbi, com, paypal, cgi, bin, get, into...</td>\n",
              "      <td>serviciosbi com paypal cgi bin get into herf s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>mail.printakid.com/www.online.americanexpress....</td>\n",
              "      <td>bad</td>\n",
              "      <td>[mail, printakid, com, www, online, americanex...</td>\n",
              "      <td>[mail, printakid, com, www, onlin, americanexp...</td>\n",
              "      <td>mail printakid com www onlin americanexpress c...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>thewhiskeydregs.com/wp-content/themes/widescre...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[thewhiskeydregs, com, wp, content, themes, wi...</td>\n",
              "      <td>[thewhiskeydreg, com, wp, content, theme, wide...</td>\n",
              "      <td>thewhiskeydreg com wp content theme widescreen...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                 URL Label  \\\n",
              "0  nobell.it/70ffb52d079109dca5664cce6f317373782/...   bad   \n",
              "1  www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrc...   bad   \n",
              "2  serviciosbys.com/paypal.cgi.bin.get-into.herf....   bad   \n",
              "3  mail.printakid.com/www.online.americanexpress....   bad   \n",
              "4  thewhiskeydregs.com/wp-content/themes/widescre...   bad   \n",
              "\n",
              "                                      text_tokenized  \\\n",
              "0  [nobell, it, ffb, d, dca, cce, f, login, SkyPe...   \n",
              "1  [www, dghjdgf, com, paypal, co, uk, cycgi, bin...   \n",
              "2  [serviciosbys, com, paypal, cgi, bin, get, int...   \n",
              "3  [mail, printakid, com, www, online, americanex...   \n",
              "4  [thewhiskeydregs, com, wp, content, themes, wi...   \n",
              "\n",
              "                                        text_stemmed  \\\n",
              "0  [nobel, it, ffb, d, dca, cce, f, login, skype,...   \n",
              "1  [www, dghjdgf, com, paypal, co, uk, cycgi, bin...   \n",
              "2  [serviciosbi, com, paypal, cgi, bin, get, into...   \n",
              "3  [mail, printakid, com, www, onlin, americanexp...   \n",
              "4  [thewhiskeydreg, com, wp, content, theme, wide...   \n",
              "\n",
              "                                           text_sent  \n",
              "0  nobel it ffb d dca cce f login skype com en cg...  \n",
              "1  www dghjdgf com paypal co uk cycgi bin webscrc...  \n",
              "2  serviciosbi com paypal cgi bin get into herf s...  \n",
              "3  mail printakid com www onlin americanexpress c...  \n",
              "4  thewhiskeydreg com wp content theme widescreen...  "
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "bad_sites.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ucElyEe6_bcp",
        "outputId": "486588ed-4247-4a3a-9441-ce786949d2d6"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "      <th>text_tokenized</th>\n",
              "      <th>text_stemmed</th>\n",
              "      <th>text_sent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>18231</td>\n",
              "      <td>esxcc.com/js/index.htm?us.battle.net/noghn/en/...</td>\n",
              "      <td>good</td>\n",
              "      <td>[esxcc, com, js, index, htm, us, battle, net, ...</td>\n",
              "      <td>[esxcc, com, js, index, htm, us, battl, net, n...</td>\n",
              "      <td>esxcc com js index htm us battl net noghn en r...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18232</td>\n",
              "      <td>www\u000eeira¯&amp;nvinip¿ncH¯wVö%ÆåyDaHðû/ÏyEùu\u0003Ë\\nÓ\u00176...</td>\n",
              "      <td>good</td>\n",
              "      <td>[www, eira, nvinip, ncH, wV, yDaH, yE, u, rT, ...</td>\n",
              "      <td>[www, eira, nvinip, nch, wv, ydah, ye, u, rt, ...</td>\n",
              "      <td>www eira nvinip nch wv ydah ye u rt u g m i xz...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18233</td>\n",
              "      <td>'www.institutocgr.coo/web/media/syqvem/dk-\u000fóij...</td>\n",
              "      <td>good</td>\n",
              "      <td>[www, institutocgr, coo, web, media, syqvem, d...</td>\n",
              "      <td>[www, institutocgr, coo, web, media, syqvem, d...</td>\n",
              "      <td>www institutocgr coo web media syqvem dk ij r ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18234</td>\n",
              "      <td>\u0011\u0018Yìê\f",
              "koãÕ»Î§DéÎ\u0002l½ñ¡ââqtò¸/à; Í</td>\n",
              "      <td>good</td>\n",
              "      <td>[Y, ko, D, l, qt]</td>\n",
              "      <td>[y, ko, d, l, qt]</td>\n",
              "      <td>y ko d l qt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18236</td>\n",
              "      <td>ruta89fm.com/images/AS@Vies/1i75cf7b16vc&lt;F\u0015d16...</td>\n",
              "      <td>good</td>\n",
              "      <td>[ruta, fm, com, images, AS, Vies, i, cf, b, vc...</td>\n",
              "      <td>[ruta, fm, com, imag, as, vie, i, cf, b, vc, f...</td>\n",
              "      <td>ruta fm com imag as vie i cf b vc f d b g sd v...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                     URL Label  \\\n",
              "18231  esxcc.com/js/index.htm?us.battle.net/noghn/en/...  good   \n",
              "18232  www\u000eeira¯&nvinip¿ncH¯wVö%ÆåyDaHðû/ÏyEùu\u0003Ë\\nÓ\u00176...  good   \n",
              "18233  'www.institutocgr.coo/web/media/syqvem/dk-\u000fóij...  good   \n",
              "18234                  \u0011\u0018Yìê\n",
              "koãÕ»Î§DéÎ\u0002l½ñ¡ââqtò¸/à; Í  good   \n",
              "18236  ruta89fm.com/images/AS@Vies/1i75cf7b16vc<F\u0015d16...  good   \n",
              "\n",
              "                                          text_tokenized  \\\n",
              "18231  [esxcc, com, js, index, htm, us, battle, net, ...   \n",
              "18232  [www, eira, nvinip, ncH, wV, yDaH, yE, u, rT, ...   \n",
              "18233  [www, institutocgr, coo, web, media, syqvem, d...   \n",
              "18234                                  [Y, ko, D, l, qt]   \n",
              "18236  [ruta, fm, com, images, AS, Vies, i, cf, b, vc...   \n",
              "\n",
              "                                            text_stemmed  \\\n",
              "18231  [esxcc, com, js, index, htm, us, battl, net, n...   \n",
              "18232  [www, eira, nvinip, nch, wv, ydah, ye, u, rt, ...   \n",
              "18233  [www, institutocgr, coo, web, media, syqvem, d...   \n",
              "18234                                  [y, ko, d, l, qt]   \n",
              "18236  [ruta, fm, com, imag, as, vie, i, cf, b, vc, f...   \n",
              "\n",
              "                                               text_sent  \n",
              "18231  esxcc com js index htm us battl net noghn en r...  \n",
              "18232  www eira nvinip nch wv ydah ye u rt u g m i xz...  \n",
              "18233  www institutocgr coo web media syqvem dk ij r ...  \n",
              "18234                                        y ko d l qt  \n",
              "18236  ruta fm com imag as vie i cf b vc f d b g sd v...  "
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "good_sites.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "X6roeXYB_bcp"
      },
      "source": [
        "* create a function to visualize the important keys from url"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lZ-CZUMG_bcq"
      },
      "outputs": [],
      "source": [
        "def plot_wordcloud(text, mask=None, max_words=400, max_font_size=120, figure_size=(24.0,16.0),\n",
        "                   title = None, title_size=40, image_color=False):\n",
        "    stopwords = set(STOPWORDS)\n",
        "    more_stopwords = {'com','http'}\n",
        "    stopwords = stopwords.union(more_stopwords)\n",
        "\n",
        "    wordcloud = WordCloud(background_color='white',\n",
        "                    stopwords = stopwords,\n",
        "                    max_words = max_words,\n",
        "                    max_font_size = max_font_size,\n",
        "                    random_state = 42,\n",
        "                    mask = mask)\n",
        "    wordcloud.generate(text)\n",
        "\n",
        "    plt.figure(figsize=figure_size)\n",
        "    if image_color:\n",
        "        image_colors = ImageColorGenerator(mask);\n",
        "        plt.imshow(wordcloud.recolor(color_func=image_colors), interpolation=\"bilinear\");\n",
        "        plt.title(title, fontdict={'size': title_size,\n",
        "                                  'verticalalignment': 'bottom'})\n",
        "    else:\n",
        "        plt.imshow(wordcloud);\n",
        "        plt.title(title, fontdict={'size': title_size, 'color': 'green',\n",
        "                                  'verticalalignment': 'bottom'})\n",
        "    plt.axis('off');\n",
        "    plt.tight_layout()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "UzKj9iVh_bcq"
      },
      "outputs": [],
      "source": [
        "data = good_sites.text_sent\n",
        "data.reset_index(drop=True, inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HPXkMet4_bcq",
        "outputId": "160b918a-2fd2-4220-c217-9cb9d0171bbd"
      },
      "outputs": [
        {
          "data": {
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            "text/plain": [
              "<Figure size 1728x1152 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "common_text = str(data)\n",
        "common_mask = np.array(Image.open('star.png'))\n",
        "plot_wordcloud(common_text, common_mask, max_words=400, max_font_size=120,\n",
        "               title = 'Most common words use in good urls', title_size=15)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "G7v6wpEq_bcq"
      },
      "outputs": [],
      "source": [
        "data = bad_sites.text_sent\n",
        "data.reset_index(drop=True, inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": false,
        "id": "PxL-i0dW_bcq",
        "outputId": "63d0dcb9-490f-45fc-b835-933210b4b040"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1728x1152 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "common_text = str(data)\n",
        "common_mask = np.array(Image.open('comment.png'))\n",
        "plot_wordcloud(common_text, common_mask, max_words=400, max_font_size=120,\n",
        "               title = 'Most common words use in bad urls', title_size=15)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JiPf-G4j_bcr"
      },
      "source": [
        "**2. Visualize internal links, it will shows all redirect links.**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Kir2H4xv_bcs"
      },
      "source": [
        "#### Scrape any website\n",
        "* First, setting up the Chrome webdriver so we can scrape dynamic web pages."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ib3uP2i8_bcs"
      },
      "source": [
        "#### Chrome webdriver\n",
        "* WebDriver tool use for automated testing of webapps across many browsers. It provides capabilities for navigating to web pages, user input and more"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dqsaqg3o_bcs"
      },
      "outputs": [],
      "source": [
        "browser = webdriver.Chrome(r\"chromedriver.exe\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3jSsraqs_bct"
      },
      "source": [
        "**You can download chromedriver.exe from\n",
        "<a href='https://github.com/taruntiwarihp/dataSets/blob/master/chromedriver_win32.zip'>here</a>**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LO6tTBCA_bct"
      },
      "source": [
        "* After set up the Chrome driver create two lists.\n",
        "* First list named list_urls holds all the pages you’d like to scrape.\n",
        "* Second, create an empty list where you’ll append hyperlinks from each page.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IgFYxQs9_bct"
      },
      "outputs": [],
      "source": [
        "list_urls = ['https://www.ezeephones.com/','https://www.ezeephones.com/about-us'] #here i take phishing sites\n",
        "links_with_text = []"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2A2NTCrt_bcu"
      },
      "source": [
        "* We took some phishing site to see were the hackers redirect(on different link) us.\n",
        "* Use the BeautifulSoup library to extract only relevant hyperlinks for Google, i.e. links only with '<'a'>' tags with href attributes."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eb7dOha7_bcu"
      },
      "source": [
        "#### BeautifulSoup\n",
        "* It is use for getting data out of HTML, XML, and other markup languages."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "q3I8M6cv_bcu"
      },
      "outputs": [],
      "source": [
        "for url in list_urls:\n",
        "    browser.get(url)\n",
        "    soup = BeautifulSoup(browser.page_source,\"html.parser\")\n",
        "    for line in soup.find_all('a'):\n",
        "        href = line.get('href')\n",
        "        links_with_text.append([url, href])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wKQycZAC_bcv"
      },
      "source": [
        "#### Turn the URL’s into a Dataframe"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "C_Cegs-b_bcv"
      },
      "outputs": [],
      "source": [
        "df = pd.DataFrame(links_with_text, columns=[\"from\", \"to\"])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "G9dgxAtw_bcw",
        "outputId": "0a15b5bb-2917-46ef-fb16-1bb9a9a9dc9c"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>from</th>\n",
              "      <th>to</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>https://www.ezeephones.com/</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>https://www.ezeephones.com/</td>\n",
              "      <td>https://www.ezeephones.com/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://www.ezeephones.com/</td>\n",
              "      <td>/cart</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>https://www.ezeephones.com/</td>\n",
              "      <td>/category/notch-phones</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>https://www.ezeephones.com/</td>\n",
              "      <td>/category/Deals - Of The Day</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                          from                            to\n",
              "0  https://www.ezeephones.com/                          None\n",
              "1  https://www.ezeephones.com/   https://www.ezeephones.com/\n",
              "2  https://www.ezeephones.com/                         /cart\n",
              "3  https://www.ezeephones.com/        /category/notch-phones\n",
              "4  https://www.ezeephones.com/  /category/Deals - Of The Day"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UbYDr418_bcw"
      },
      "source": [
        "#### Step 3: Draw a graph\n",
        "* Finally, use the aforementioned DataFrame to **visualize an internal link structure by feeding it to the Networkx method from_pandas_edgelist first** and draw it by calling nx.draw"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": true,
        "id": "SpNdZ4cr_bcw",
        "outputId": "bc5d3e2c-3215-41ea-9a65-ec7feaf1c86a"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "GA = nx.from_pandas_edgelist(df, source=\"from\", target=\"to\")\n",
        "nx.draw(GA, with_labels=False)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DryfnOM6_bcx"
      },
      "source": [
        "### Creating Model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7Kjf0JSK_bcx"
      },
      "source": [
        "#### CountVectorizer"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xfJnOb3F_bcx"
      },
      "outputs": [],
      "source": [
        "#create cv object\n",
        "cv = CountVectorizer()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BGF5SoCw_bcx"
      },
      "outputs": [],
      "source": [
        "feature = cv.fit_transform(phish_data.text_sent) #transform all text which we tokenize and stemed"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": true,
        "id": "SLYqcwKH_bcy",
        "outputId": "5ec3e084-d702-4cf6-9aef-fa3f24a7b29b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0]], dtype=int64)"
            ]
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "feature[:5].toarray() # convert sparse matrix into array to print transformed features"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GXN8cOx2_bcy"
      },
      "source": [
        "#### * Spliting the data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KrieAakK_bcy"
      },
      "outputs": [],
      "source": [
        "trainX, testX, trainY, testY = train_test_split(feature, phish_data.Label)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7EFcJgVN_bcy"
      },
      "source": [
        "### LogisticRegression\n",
        "* Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, failure, etc.). In other words, the logistic regression model predicts P(Y=1) as a function of X."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-GtDuB0w_bcy"
      },
      "outputs": [],
      "source": [
        "# create lr object\n",
        "lr = LogisticRegression()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ihe1jZdM_bcz",
        "outputId": "310cf8f4-0c61-4f95-8aea-a966ca8327eb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "LogisticRegression()"
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "lr.fit(trainX,trainY)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "eqCKjbAn_bcz",
        "outputId": "4b0058e3-17fa-4641-be4d-0e39fa497fc8"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.9636514559077306"
            ]
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "lr.score(testX,testY)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KgTr2bTc_bcz"
      },
      "source": [
        ".*** Logistic Regression is giving 96% accuracy, Now we will store scores in dict to see which model perform best**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "P3y1g0nc_bcz"
      },
      "outputs": [],
      "source": [
        "Scores_ml = {}\n",
        "Scores_ml['Logistic Regression'] = np.round(lr.score(testX,testY),2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "m6g8pVQ1_bc0",
        "outputId": "a3c8bb06-63f7-4ac3-dee8-bc453b6abdf2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Training Accuracy : 0.9782480479795345\n",
            "Testing Accuracy : 0.9636514559077306\n",
            "\n",
            "CLASSIFICATION REPORT\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "         Bad       0.90      0.97      0.93     36597\n",
            "        Good       0.99      0.96      0.97    100740\n",
            "\n",
            "    accuracy                           0.96    137337\n",
            "   macro avg       0.95      0.96      0.95    137337\n",
            "weighted avg       0.97      0.96      0.96    137337\n",
            "\n",
            "\n",
            "CONFUSION MATRIX\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x1ec84c387c8>"
            ]
          },
          "execution_count": 46,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "print('Training Accuracy :',lr.score(trainX,trainY))\n",
        "print('Testing Accuracy :',lr.score(testX,testY))\n",
        "con_mat = pd.DataFrame(confusion_matrix(lr.predict(testX), testY),\n",
        "            columns = ['Predicted:Bad', 'Predicted:Good'],\n",
        "            index = ['Actual:Bad', 'Actual:Good'])\n",
        "\n",
        "\n",
        "print('\\nCLASSIFICATION REPORT\\n')\n",
        "print(classification_report(lr.predict(testX), testY,\n",
        "                            target_names =['Bad','Good']))\n",
        "\n",
        "print('\\nCONFUSION MATRIX')\n",
        "plt.figure(figsize= (6,4))\n",
        "sns.heatmap(con_mat, annot = True,fmt='d',cmap=\"YlGnBu\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g0fjMRmi_bc0"
      },
      "source": [
        "### MultinomialNB\n",
        "* Applying Multinomial Naive Bayes to NLP Problems. Naive Bayes Classifier Algorithm is a family of probabilistic algorithms based on applying Bayes' theorem with the “naive” assumption of conditional independence between every pair of a feature."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "CPML8vBg_bc0"
      },
      "outputs": [],
      "source": [
        "# create mnb object\n",
        "mnb = MultinomialNB()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "j_nlUXrH_bc0",
        "outputId": "a1390ba3-0ba3-4916-c01f-6f4a8d59a956"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "MultinomialNB()"
            ]
          },
          "execution_count": 48,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mnb.fit(trainX,trainY)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "oln9QwEe_bc1",
        "outputId": "1b80169e-caf2-4126-cacf-223b474d9539"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.9574550194048217"
            ]
          },
          "execution_count": 49,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mnb.score(testX,testY)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XiuCnthN_bc2"
      },
      "source": [
        "*** MultinomialNB gives us 95% accuracy**  "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AD2fnPIx_bc2"
      },
      "outputs": [],
      "source": [
        "Scores_ml['MultinomialNB'] = np.round(mnb.score(testX,testY),2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "oLDx4bwI_bc2",
        "outputId": "c5bbbdc1-b80d-450e-e592-1002d39e2ea2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Training Accuracy : 0.9741437687040817\n",
            "Testing Accuracy : 0.9574550194048217\n",
            "\n",
            "CLASSIFICATION REPORT\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "         Bad       0.91      0.94      0.92     38282\n",
            "        Good       0.98      0.97      0.97     99055\n",
            "\n",
            "    accuracy                           0.96    137337\n",
            "   macro avg       0.94      0.95      0.95    137337\n",
            "weighted avg       0.96      0.96      0.96    137337\n",
            "\n",
            "\n",
            "CONFUSION MATRIX\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x1ec84f9c908>"
            ]
          },
          "execution_count": 51,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "print('Training Accuracy :',mnb.score(trainX,trainY))\n",
        "print('Testing Accuracy :',mnb.score(testX,testY))\n",
        "con_mat = pd.DataFrame(confusion_matrix(mnb.predict(testX), testY),\n",
        "            columns = ['Predicted:Bad', 'Predicted:Good'],\n",
        "            index = ['Actual:Bad', 'Actual:Good'])\n",
        "\n",
        "\n",
        "print('\\nCLASSIFICATION REPORT\\n')\n",
        "print(classification_report(mnb.predict(testX), testY,\n",
        "                            target_names =['Bad','Good']))\n",
        "\n",
        "print('\\nCONFUSION MATRIX')\n",
        "plt.figure(figsize= (6,4))\n",
        "sns.heatmap(con_mat, annot = True,fmt='d',cmap=\"YlGnBu\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "P-LxTDVO_bc3",
        "outputId": "f0cd7dff-bb48-4d63-cc22-2cb9095b69eb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x1ec84f71348>"
            ]
          },
          "execution_count": 52,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "acc = pd.DataFrame.from_dict(Scores_ml,orient = 'index',columns=['Accuracy'])\n",
        "sns.set_style('darkgrid')\n",
        "sns.barplot(acc.index,acc.Accuracy)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-z54qhh6_bc3"
      },
      "source": [
        "***Logistic Regression is the best fit model, Now we make sklearn pipeline using Logistic Regression**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BjTCGhIf_bc4"
      },
      "outputs": [],
      "source": [
        "pipeline_ls = make_pipeline(CountVectorizer(tokenizer = RegexpTokenizer(r'[A-Za-z]+').tokenize,stop_words='english'), LogisticRegression())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xfTeCs9Y_bc4"
      },
      "outputs": [],
      "source": [
        "trainX, testX, trainY, testY = train_test_split(phish_data.URL, phish_data.Label)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": true,
        "id": "1eDR_h2e_bc4",
        "outputId": "5cbfb02c-b2ae-4908-c502-c7766b70ee07"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Pipeline(steps=[('countvectorizer',\n",
              "                 CountVectorizer(stop_words='english',\n",
              "                                 tokenizer=<bound method RegexpTokenizer.tokenize of RegexpTokenizer(pattern='[A-Za-z]+', gaps=False, discard_empty=True, flags=<RegexFlag.UNICODE|DOTALL|MULTILINE: 56>)>)),\n",
              "                ('logisticregression', LogisticRegression())])"
            ]
          },
          "execution_count": 55,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "pipeline_ls.fit(trainX,trainY)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Sy699vX0_bc5",
        "outputId": "b822444c-8e90-4b7c-b0cd-1ece87ea2ff6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.9674450439430016"
            ]
          },
          "execution_count": 56,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "pipeline_ls.score(testX,testY)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MSUOFijl_bc5",
        "outputId": "428b1431-fc49-40ae-9213-3129676664bb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Training Accuracy : 0.9808911941244002\n",
            "Testing Accuracy : 0.9674450439430016\n",
            "\n",
            "CLASSIFICATION REPORT\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "         Bad       0.92      0.97      0.94     36841\n",
            "        Good       0.99      0.97      0.98    100496\n",
            "\n",
            "    accuracy                           0.97    137337\n",
            "   macro avg       0.95      0.97      0.96    137337\n",
            "weighted avg       0.97      0.97      0.97    137337\n",
            "\n",
            "\n",
            "CONFUSION MATRIX\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x1ec83fca588>"
            ]
          },
          "execution_count": 57,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "print('Training Accuracy :',pipeline_ls.score(trainX,trainY))\n",
        "print('Testing Accuracy :',pipeline_ls.score(testX,testY))\n",
        "con_mat = pd.DataFrame(confusion_matrix(pipeline_ls.predict(testX), testY),\n",
        "            columns = ['Predicted:Bad', 'Predicted:Good'],\n",
        "            index = ['Actual:Bad', 'Actual:Good'])\n",
        "\n",
        "\n",
        "print('\\nCLASSIFICATION REPORT\\n')\n",
        "print(classification_report(pipeline_ls.predict(testX), testY,\n",
        "                            target_names =['Bad','Good']))\n",
        "\n",
        "print('\\nCONFUSION MATRIX')\n",
        "plt.figure(figsize= (6,4))\n",
        "sns.heatmap(con_mat, annot = True,fmt='d',cmap=\"YlGnBu\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "R36Bw2CX_bc5"
      },
      "outputs": [],
      "source": [
        "pickle.dump(pipeline_ls,open('phishing.pkl','wb'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bDg2_Rwd_bc6",
        "outputId": "d021c210-8777-4f96-9feb-4142320c83d6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0.9674450439430016\n"
          ]
        }
      ],
      "source": [
        "loaded_model = pickle.load(open('phishing.pkl', 'rb'))\n",
        "result = loaded_model.score(testX,testY)\n",
        "print(result)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i3-ZeSgv_bc6"
      },
      "source": [
        "***We get an accuracy of 98%.\n",
        "Now, we'll test some links to see if the model gives good predictions.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "smQabi8Q_bc6"
      },
      "outputs": [],
      "source": [
        "* Bad links => this are phishing sites\n",
        "yeniik.com.tr/wp-admin/js/login.alibaba.com/login.jsp.php\n",
        "fazan-pacir.rs/temp/libraries/ipad\n",
        "www.tubemoviez.exe\n",
        "svision-online.de/mgfi/administrator/components/com_babackup/classes/fx29id1.txt\n",
        "\n",
        "* Good links => this are not phishing sites\n",
        "www.youtube.com/\n",
        "youtube.com/watch?v=qI0TQJI3vdU\n",
        "www.retailhellunderground.com/\n",
        "restorevisioncenters.com/html/technology.html"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Zf8THqabEFYC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": true,
        "id": "_BBY3_pa_bc7",
        "outputId": "4fd0a2a0-07e9-43d5-e4fa-5a9e329b8990"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "['bad' 'bad' 'bad' 'bad']\n",
            "******************************\n",
            "['good' 'good' 'good' 'good']\n"
          ]
        }
      ],
      "source": [
        "predict_bad = ['yeniik.com.tr/wp-admin/js/login.alibaba.com/login.jsp.php','fazan-pacir.rs/temp/libraries/ipad','tubemoviez.exe','svision-online.de/mgfi/administrator/components/com_babackup/classes/fx29id1.txt']\n",
        "predict_good = ['youtube.com/','youtube.com/watch?v=qI0TQJI3vdU','retailhellunderground.com/','restorevisioncenters.com/html/technology.html']\n",
        "loaded_model = pickle.load(open('phishing.pkl', 'rb'))\n",
        "#predict_bad = vectorizers.transform(predict_bad)\n",
        "# predict_good = vectorizer.transform(predict_good)\n",
        "result = loaded_model.predict(predict_bad)\n",
        "result2 = loaded_model.predict(predict_good)\n",
        "print(result)\n",
        "print(\"*\"*30)\n",
        "print(result2)"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.0"
    },
    "varInspector": {
      "cols": {
        "lenName": 16,
        "lenType": 16,
        "lenVar": 40
      },
      "kernels_config": {
        "python": {
          "delete_cmd_postfix": "",
          "delete_cmd_prefix": "del ",
          "library": "var_list.py",
          "varRefreshCmd": "print(var_dic_list())"
        },
        "r": {
          "delete_cmd_postfix": ") ",
          "delete_cmd_prefix": "rm(",
          "library": "var_list.r",
          "varRefreshCmd": "cat(var_dic_list()) "
        }
      },
      "types_to_exclude": [
        "module",
        "function",
        "builtin_function_or_method",
        "instance",
        "_Feature"
      ],
      "window_display": false
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}