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Upload 8 files
Browse files- PhishingDETECT_clf.pkl +3 -0
- Procfile +1 -0
- app.py +221 -0
- phishing.csv +0 -0
- requirements.txt +6 -0
- setup.sh +13 -0
PhishingDETECT_clf.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b8004814e65f5c160eede9f3f64f2c44b4931442bebacde0dd7ab777386424c
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size 10866069
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Procfile
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web: sh setup.sh && streamlit run app.py
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app.py
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import streamlit as st
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import pandas as pd
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import numpy as np
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import pickle
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import base64
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import seaborn as sns
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import matplotlib.pyplot as plt
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import symbol
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st.write("""
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# WebPhishing Detection App
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WebPhishing Detection App adalah sebuah aplikasi untuk mendeteksi sebuah Phishing pada situs web.
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Aplikasi ini menggunakan berbagai macam paramater untuk menujukan bahwa situs Phishing atau Normal
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""")
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url_dataset = f'<a href="phishing.csv">Download Dataset CSV File</a>'
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st.markdown(url_dataset, unsafe_allow_html=True)
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def user_input_features() :
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UsingIP = st.sidebar.selectbox('UsingIP', ('YA', 'Tidak'))
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LongURL = st.sidebar.selectbox('LongURL', ('YA', 'Tidak'))
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ShortURL = st.sidebar.selectbox('Short URL', ('YA', 'Tidak'))
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Symbol = st.sidebar.selectbox('Symbol', ('YA', 'Tidak'))
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Redirecting = st.sidebar.selectbox('Redirecting', ('YA', 'Tidak'))
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PrefixSuffix = st.sidebar.selectbox('PrefixSuffix', ('YA', 'Tidak'))
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SubDomains = st.sidebar.selectbox('SubDomains', ('YA', 'Tidak'))
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HTTPS = st.sidebar.selectbox('HTTPS', ('YA', 'Tidak'))
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DomainRegLen = st.sidebar.selectbox('DomainRegLen', ('YA', 'Tidak'))
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Favicon = st.sidebar.selectbox('Favicon', ('YA', 'Tidak'))
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NonStdPort = st.sidebar.selectbox('NonStdPort', ('YA', 'Tidak'))
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HTTPSDomainURL = st.sidebar.selectbox('HTTPSDomainURL', ('YA', 'Tidak'))
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RequestURL = st.sidebar.selectbox('RequestURL', ('YA', 'Tidak'))
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AnchorURL = st.sidebar.selectbox('AnchorURL', ('YA', 'Tidak'))
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LinksInScriptTags = st.sidebar.selectbox('LinksInScriptTags', ('YA', 'Tidak'))
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ServerFormHandler = st.sidebar.selectbox('ServerFormHandler', ('YA', 'Tidak'))
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InfoEmail = st.sidebar.selectbox('InfoEmail', ('YA', 'Tidak'))
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AbnormalURL = st.sidebar.selectbox('AbnormalURL', ('YA', 'Tidak'))
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WebsiteForwarding = st.sidebar.selectbox('WebsiteForwarding', ('YA', 'Tidak'))
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StatusBarCust = st.sidebar.selectbox('StatusBarCust', ('YA', 'Tidak'))
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DisableRightClick = st.sidebar.selectbox('DisableRightClick', ('YA', 'Tidak'))
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UsingPopupWindow = st.sidebar.selectbox('UsingPopupWindow', ('YA', 'Tidak'))
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IframeRedirection = st.sidebar.selectbox('IframeRedirection', ('YA', 'Tidak'))
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AgeofDomain = st.sidebar.selectbox('AgeofDomain', ('YA', 'Tidak'))
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DNSRecording = st.sidebar.selectbox('DNSRecording', ('YA', 'Tidak'))
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WebsiteTraffic = st.sidebar.selectbox('WebsiteTraffic', ('YA', 'Tidak'))
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PageRank = st.sidebar.selectbox('PageRank', ('YA', 'Tidak'))
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GoogleIndex = st.sidebar.selectbox('GoogleIndex', ('YA', 'Tidak'))
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LinksPointingToPage = st.sidebar.selectbox('LinksPointingToPage', ('YA', 'Tidak'))
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StatsReport = st.sidebar.selectbox('StatsReport', ('YA', 'Tidak'))
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# phishingYT01 = 1
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#if(phishingYT == 'Left') :
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#phishingYT01 = 0
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usingip = -1
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if(UsingIP == 'YA') :
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usingip = 1
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longurl = -1
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if(LongURL == 'YA') :
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longurl =1
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shorturl = -1
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if(ShortURL == 'YA') :
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shorturl =1
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symbol = -1
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if(Symbol == 'YA') :
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symbol =1
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redirecting = -1
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if(Redirecting == 'YA') :
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redirecting =1
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subdomains = -1
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if(SubDomains == 'YA') :
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subdomains =1
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prefixsuffix = -1
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if(PrefixSuffix == 'YA') :
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prefixsuffix =1
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https = -1
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if(HTTPS == 'YA') :
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https =1
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domainreglen = -1
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if(DomainRegLen == 'YA') :
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domainreglen =1
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favicon = -1
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if(Favicon == 'YA') :
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favicon =1
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nonstdport = -1
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if(NonStdPort == 'YA') :
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nonstdport =1
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httpsdomainurl = -1
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if(HTTPSDomainURL == 'YA') :
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httpsdomainurl =1
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requesturl = -1
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if(RequestURL == 'YA') :
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requesturl =1
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anchorurl = -1
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if(AnchorURL == 'YA') :
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anchorurl =1
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linksinscripttags = -1
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if(LinksInScriptTags == 'YA') :
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linksinscripttags =1
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serverformhandler = -1
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if(ServerFormHandler == 'YA') :
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serverformhandler =1
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infoemail = -1
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if(InfoEmail == 'YA') :
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infoemail =1
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abnormalurl = -1
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if(AbnormalURL == 'YA') :
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abnormalurl =1
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websiteforwarding = 0
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if(WebsiteForwarding == 'Tidak') :
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websiteforwarding = 0
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statusbarcust = -1
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if(StatusBarCust == 'YA') :
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statusbarcust =1
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disablerightclick = -1
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if(DisableRightClick == 'YA') :
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disablerightclick =1
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usingpopupwindow = -1
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if(UsingPopupWindow == 'YA') :
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usingpopupwindow =1
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iframeredirection = -1
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if(IframeRedirection == 'YA') :
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iframeredirection =1
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ageofdomain = -1
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if(AgeofDomain == 'YA') :
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ageofdomain =1
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dnsrecording = -1
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if(DNSRecording == 'YA') :
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dnsrecording =1
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websitetraffic = -1
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if(WebsiteTraffic == 'YA') :
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websitetraffic =1
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pagerank= -1
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if(PageRank== 'YA') :
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pagerank =1
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googleindex = -1
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if(GoogleIndex == 'YA') :
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googleindex =1
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linkspointingtopage= -1
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if(LinksPointingToPage== 'YA') :
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linkspointingtopage =1
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statsreport= -1
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if(StatsReport== 'YA') :
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statsreport =1
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#data = {'phishingYT':[phishingYT01],
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data = {
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'UsingIP':[usingip],
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'LongURL':[longurl],
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'ShortURL':[shorturl],
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'Symbol@':[symbol],
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'Redirecting//':[redirecting],
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'SubDomains':[subdomains],
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'PrefixSuffix-':[prefixsuffix],
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'HTTPS':[https],
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'DomainRegLen':[domainreglen],
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'Favicon':[favicon],
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'NonStdPort':[nonstdport],
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'HTTPSDomainURL':[httpsdomainurl],
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'RequestURL':[requesturl],
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'AnchorURL':[anchorurl],
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'LinksInScriptTags':[linksinscripttags],
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'ServerFormHandler':[serverformhandler ],
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'InfoEmail':[infoemail],
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'AbnormalURL':[abnormalurl],
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'WebsiteForwarding':[websiteforwarding],
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'StatusBarCust':[statusbarcust],
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'DisableRightClick':[disablerightclick],
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'UsingPopupWindow':[usingpopupwindow],
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'IframeRedirection':[iframeredirection],
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'AgeofDomain':[ageofdomain],
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'DNSRecording':[dnsrecording],
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'WebsiteTraffic':[websitetraffic],
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'PageRank':[pagerank],
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'GoogleIndex':[googleindex],
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'LinksPointingToPage':[linkspointingtopage],
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'StatsReport':[statsreport]}
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features = pd.DataFrame(data)
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return features
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input_df = user_input_features()
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phishing_raw = pd.read_csv('phishing.csv')
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phishing_raw.fillna(0, inplace=True)
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phishing = phishing_raw.drop(columns=['class'])
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df = pd.concat([input_df, phishing],axis=0)
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df = df[:1] # Selects only the first row (the user input data)
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df.fillna(0, inplace=True)
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features = ['UsingIP', 'LongURL', 'ShortURL', 'Symbol@', 'Redirecting//',
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'PrefixSuffix-', 'SubDomains', 'HTTPS', 'DomainRegLen', 'Favicon',
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'NonStdPort', 'HTTPSDomainURL', 'RequestURL', 'AnchorURL',
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'LinksInScriptTags', 'ServerFormHandler', 'InfoEmail', 'AbnormalURL',
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'WebsiteForwarding', 'StatusBarCust', 'DisableRightClick',
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'UsingPopupWindow', 'IframeRedirection', 'AgeofDomain', 'DNSRecording',
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'WebsiteTraffic', 'PageRank', 'GoogleIndex', 'LinksPointingToPage',
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'StatsReport']
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df = df[features]
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st.subheader('User Input features')
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st.write(df)
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load_clf = pickle.load(open('PhishingDETECT_clf.pkl', 'rb'))
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detection = load_clf.predict(df)
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if(detection < 0) :
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detection = 0
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detection_proba = load_clf.predict_proba(df)
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phishing_labels = np.array(['Normal', 'Phishing'])
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st.subheader('Detection')
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st.write(phishing_labels[detection])
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st.subheader('Detection Probability')
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df_prob = pd.DataFrame(data=detection_proba, index=['Probability'], columns=phishing_labels)
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st.write(df_prob)
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phishing.csv
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The diff for this file is too large to render.
See raw diff
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requirements.txt
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@@ -0,0 +1,6 @@
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matplotlib==3.4.3
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numpy==1.20.3
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pandas==1.3.4
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seaborn==0.11.2
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streamlit==1.11.0
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sklearn
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setup.sh
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mkdir -p ~/.streamlit/
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echo "\
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[general]\n\
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email = \"your-email@domain.com\"\n\
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" > ~/.streamlit/credentials.toml
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echo "\
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[server]\n\
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headless = true\n\
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enableCORS=false\n\
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port = $PORT\n\
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" > ~/.streamlit/config.toml
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