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Create testreportstack.py
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jzold
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testreportstack.py
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186
testreportstack.py
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try:
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import plotly
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import plotly.graph_objs as go
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import plotly.plotly as py
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import datetime
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scanneddomain='google.com'
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totalnumberofdomains = 4
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totalnumberofhosts = 14
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totalnumberofip = 10
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totalnumberofvhost=3
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totalnumberofemail=15
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totalnumberofshodan=7
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date1=datetime.date(2018,12,1)
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date2=datetime.date(2018,12,3)
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date3=datetime.date(2018,12,5)
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date4=datetime.date(2018,12,8)
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date5=datetime.date(2018,12,10)
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HTML='''
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<head><script src="https://cdn.plot.ly/plotly-latest.min.js"></script></head>
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<html>
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<body>
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<h1 style="text-align: center;"><span style="color: #ff0000;">theHarvester Scan Report</span></h1>
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<h2><span style="color: #000000;"><strong>TheHarvester scanning dashboard</strong></span></h2>
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<table align="left" style="height: 108px; border-color: #000000; margin-left: auto; margin-right: auto;" border=" #000000" width="713">
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<tbody>
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<tr>
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<td style="width: 113px; text-align: center;background: #ffff38"><h2><strong>Domains</strong></h2></td>
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<td style="width: 108px; text-align: center;background: #1f77b4"><h2><strong>Hosts</strong></h2></td>
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<td style="width: 119px; text-align: center;background: #ff7f0e"><h2><strong>IP Addresses</strong></h2></td>
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<td style="width: 111px; text-align: center;background: #2ca02c"><h2><strong>Vhosts</strong></h2></td>
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<td style="width: 110px; text-align: center;background: #9467bd"><h2><strong>Emails</strong></h2></td>
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<td style="width: 110px; text-align: center;background: #d62728"><h2><strong>Shodan</strong></h2></td>
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</tr>
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'''+'''<tr>
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<td style="width: 113px; text-align: center;background: #ffff38"><h2><strong>'''+str(totalnumberofdomains)+'''</strong></h2></td>
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<td style="width: 108px; text-align: center;background: #1f77b4"><h2><strong>'''+str(totalnumberofhosts)+'''</strong></h2></td>
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<td style="width: 119px; text-align: center;background: #ff7f0e"><h2><strong>'''+str(totalnumberofip)+'''</strong></h2></td>
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<td style="width: 111px; text-align: center;background: #2ca02c"><h2><strong>'''+str(totalnumberofvhost)+'''</strong></h2></td>
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<td style="width: 110px; text-align: center;background: #9467bd"><h2><strong>'''+str(totalnumberofemail)+'''</strong></h2></td>
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<td style="width: 110px; text-align: center;background: #d62728"><h2><strong>'''+str(totalnumberofshodan)+'''</strong></h2></td>
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'''+'''
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</tr>
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</tbody>
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</table>
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<p> </p>
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<p> </p>
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<p> </p>
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<p> </p>
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<h2><span style="color: #000000;">Latest scan summary for '''+scanneddomain+'''</span></h2>
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<h3><strong><span style="color: #0000ff;">Emails found:</span></strong></h3>
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<ul>
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<li><span style="color: #000000;">email1@google.com</span></li>
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<li><span style="color: #000000;">email2@google.com</span></li>
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</ul>
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<h3><span style="color: #0000ff;">Hosts found:</span></h3>
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<ul>
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<li><span style="color: #000000;">host1.google.com</span></li>
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<li><span style="color: #000000;">host2.google.com</span></li>
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<li><span style="color: #000000;">host3.google.com</span></li>
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</ul>
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<h3><strong><span style="color: #0000ff;">IP addresses found:</span></strong></h3>
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<ul>
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<li><span style="color: #000000;">87.12.42.12</span></li>
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<li><span style="color: #000000;">87.12.42.11</span></li>
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<li><span style="color: #000000;">87.12.43.11</span></li>
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<li><span style="color: #000000;">87.12.44.11</span></li>
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</ul>
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<h3><span style="color: #0000ff;"><strong>Shodan results:</strong></span></h3>
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<ul>
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<li><span style="color: #000000;">NONE</span></li>
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</ul>
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'''
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barcolumns = ["host","ip","vhost","shodan","email"]
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bardata = [totalnumberofhosts,totalnumberofip,totalnumberofvhost,totalnumberofshodan,totalnumberofemail]
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layout = dict(title = "Last scan - number of targets identified for "+scanneddomain+" on "+str(date5),
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xaxis = dict(title = 'Targets'),
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yaxis = dict(title = 'Hits'),
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)
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barchart=plotly.offline.plot({
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"data": [go.Bar(x=barcolumns,y=bardata)],
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"layout": layout,
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}, auto_open=False,include_plotlyjs=False,filename='report.html', output_type='div')
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HTML+=barchart
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trace0 = go.Scatter(
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x=[date1,date2,date3,date4,date5],
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y=[3, 10, 9, 17,10],
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mode = 'lines+markers',
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name = 'hosts')
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trace1 = go.Scatter(
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x=[date1,date2,date3,date4,date5],
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y=[2, 6, 9, 10, 5],
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mode = 'lines+markers',
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name = 'IP address')
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trace2 = go.Scatter(
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x=[date1,date2,date3,date4,date5],
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y=[1, 2, 4, 6, 2],
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mode = 'lines+markers',
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name = 'vhost')
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trace3 = go.Scatter(
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x=[date1,date2,date3,date4,date5],
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y=[2, 3, 2, 5, 7],
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mode = 'lines+markers',
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name = 'shodan')
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trace4 = go.Scatter(
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x=[date1,date2,date3,date4,date5],
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y=[12, 14, 20, 24, 20],
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mode = 'lines+markers',
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name = 'email')
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data = [trace0, trace1, trace2, trace3, trace4]
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layout = dict(title = "Scanning history for "+scanneddomain,
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xaxis = dict(title = 'Date'),
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yaxis = dict(title = 'Results'),
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)
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scatterchart = plotly.offline.plot({
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"data": data,
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"layout": layout}, auto_open=False,include_plotlyjs=False,filename='report.html', output_type='div')
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HTML+=scatterchart
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trace1 = go.Bar(
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x=[date1,date2,date3,date4,date5],
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y=[20, 21, 23, 20, 17],
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text=['domain1.com', 'domain1.com', 'domain1.com', 'domain1.com', 'domain1.com'],
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name='hosts'
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)
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trace2 = go.Bar(
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x=[date1,date2,date3,date4,date5],
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y=[24, 23, 29, 30, 25],
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text=['domain2.com', 'domain2.com', 'domain2.com', 'domain2.com', 'domain2.com'],
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name='IP addresses'
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)
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trace3 = go.Bar(
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x=[date1,date2,date3,date4,date5],
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y=[3, 5, 2, 1, 3],
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text=['domain3.com', 'domain3.com', 'domain3.com', 'domain3.com', 'domain3.com'],
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name='vhosts'
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)
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trace4 = go.Bar(
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x=[date1,date2,date3,date4,date5],
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y=[13, 10, 12, 13, 12],
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text=['domain4.com', 'domain4.com', 'domain4.com', 'domain4.com', 'domain4.com'],
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name='shodan'
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)
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trace5 = go.Bar(
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x=[date1,date2,date3,date4,date5],
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y=[30, 34, 35, 41, 31],
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text=['domain5.com', 'domain5.com', 'domain5.com', 'domain5.com', 'domain5.com'],
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name='email'
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)
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data = [trace1, trace2, trace3, trace4, trace5]
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layout = dict(title = "theHarvester scan history",
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xaxis = dict(title = 'Date'),
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yaxis = dict(title = 'Hits'),
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barmode='stack'
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)
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barchart=plotly.offline.plot({
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"data": data,
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"layout": layout,
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}, auto_open=False,include_plotlyjs=False,filename='report.html', output_type='div')
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HTML+=barchart
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HTML+='<p><span style="color: #000000;">Report generated on '+ str(datetime.datetime.now())+'</span></p>'
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HTML+='''
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</body>
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</html>
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'''
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Html_file= open("report.html","w")
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Html_file.write(HTML)
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Html_file.close()
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except Exception as e:
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print("ERROR: "+str(e))
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