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virustotalv3.py
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virustotalv3.py
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#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Name: Luigi Cruz
# Revision:
# v1 - Detection Urls, Downloaded Files, Communication Files 3/20/2019
# v2 - Optimize Query 3/27/2019
# v3 -
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
import requests
import os
import re
import pandas as pd
import time
filein = input('File input: ').lstrip('"').rstrip('"')
userin = input('What IP Address?\n1:Source\n2:Destination\nChoose: ')
ipnum = {
'1' : 'Source IP Address',
'2' : 'Destination IP Address'
}
ipcoun = {
'1' : 'Source Country',
'2' : 'Destination Country'
}
rawdata = pd.read_csv(filein)
rawdata.sort_values(ipnum[userin], inplace = True)
rawdata.drop_duplicates(subset = ipnum[userin], keep = 'last' , inplace = True)
rawdata = rawdata.loc[:, [ipnum[userin],ipcoun[userin]]]
'''=============================VIRUS TOTAL======================================================'''
df = pd.DataFrame(columns=[
'IP Address',
'AS Owner',
'Resolution',
'Detected Urls (DU)',
'DU Rate',
'DU Scan Date',
'Undetected Urls (UU)',
'UU Rate',
'UU Scan Date',
'Detected Downloaded Samples (DD)',
'DD Rate',
'DD Scan Date',
'Undetected Downloaded Samples (UD)',
'UD Rate',
'UD Scan Date',
'Detected Communicating Samples (DC)',
'DC Rate',
'DC Scan Date',
'Undetected Communicating Samples (UC)',
'UC Rate',
'UC Scan Date',
'Msg'
])
def vtquery(ipp,asowner,dns,du,rdu,ddu,uu,ruu,duu,dd,rdd,ddd,ud,rud,dud,dc,rdc,ddc,uc,ruc,duc,msg):
global df
df = df.append({
'IP Address' : ipp ,
'AS Owner' : asowner,
'Resolution': dns,
'Detected Urls (DU)' : du,
'DU Rate': rdu,
'DU Scan Date': ddu,
'Undetected Urls (UU)': uu,
'UU Rate': ruu,
'UU Scan Date': duu,
'Detected Downloaded Samples (DD)': dd,
'DD Rate': rdd,
'DD Scan Date': ddd,
'Undetected Downloaded Samples (UD)' : ud,
'UD Rate': rud,
'UD Scan Date': dud,
'Detected Communicating Samples (DC)' : dc,
'DC Rate': rdc,
'DC Scan Date': ddc,
'Undetected Communicating Samples (UC)' : uc,
'UC Rate': ruc,
'UC Scan Date': duc,
'Msg' : msg
},ignore_index='True')
def duemp():
global idu,irdu,iddu
idu = ''
irdu = ''
iddu = ''
def uuemp():
global iuu,iruu,iduu
iuu = ''
iruu = ''
iduu = ''
def ddempty():
global idd,irdd,iddd
idd = ''
irdd = ''
iddd = ''
def udempty():
global iud,irud,idud
iud = ''
irud = ''
idud = ''
def dcempty():
global idc,irdc,iddc
idc = ''
irdc = ''
iddc = ''
def ucempty():
global iuc,iruc,iduc
iuc = ''
iruc = ''
iduc = ''
def headerdesign(cn1,cn2,bold,textwrap,valign,fgcolor,border):
header_format = workbook.add_format({
'bold': bold,
'text_wrap': textwrap,
'valign': valign,
'fg_color': fgcolor,
'border': border
})
for col_num, value in enumerate(df.columns.values):
if col_num >= cn1 and col_num <= cn2 :
worksheet.write(0, col_num, value, header_format)
elif col_num > cn2:
break
else:
continue
url = 'https://www.virustotal.com/vtapi/v2/ip-address/report'
xi = 0
for i in range(int(rawdata.shape[0])):
ip = str(rawdata.iloc[i,0])
if xi == 0:
params = {'apikey':'359f0f47ab81466839588031bf20dab7059ac9c33d34a3fc55f2d85827005b14','ip': ip}
xi += 1
elif xi == 1:
params = {'apikey':'faa5a0e6ef90850a7cf9fccac02e6447e2487319f4692678a7a1a8cd1b7ca0d7','ip': ip}
xi += 1
elif xi == 2:
params = {'apikey':'933ada8f362226e3f6cbe78c9543f11ce8e691c7b4cf471fbe9a993f968b5452','ip': ip}
xi += 1
else:
params = {'apikey':'d2ea2372d0d9dcb9863d357dc460ac7b057bacd8191918acedcf740fefd3eb47','ip': ip}
xi = 0
response = requests.get(url, params=params)
dct = response.json()
msg = dct['verbose_msg']
if msg == 'IP address in dataset':
maxrng = set([])
if 'as_owner' in dct:
maxrng.add(len(dct['as_owner']))
if 'resolutions' in dct:
maxrng.add(len(dct['resolutions']))
if 'detected_urls' in dct:
maxrng.add(len(dct['detected_urls']))
if 'undetected_urls' in dct:
maxrng.add(len(dct['undetected_urls']))
if 'detected_downloaded_samples' in dct:
maxrng.add(len(dct['detected_downloaded_samples']))
if 'undetected_downloaded_samples' in dct:
maxrng.add(len(dct['undetected_downloaded_samples']))
if 'detected_communicating_samples' in dct:
maxrng.add(len(dct['detected_communicating_samples']))
if 'undetected_communicating_samples' in dct:
maxrng.add(len(dct['undetected_communicating_samples']))
maxrng = max(maxrng)
for a in range(maxrng):
if 'as_owner' in dct:
if dct['as_owner'] is not None:
asowner = dct['as_owner']
else:
asowner = ''
else:
as_owner = ''
if 'resolutions' in dct:
if dct['resolutions'] is not None:
if a < len(dct['resolutions']):
idns = dct['resolutions'][a]['hostname']
else:
idns = ''
else:
idns = ''
else:
idns = ''
#print(idns)
if 'detected_urls' in dct:
if dct['detected_urls'] is not None:
if a < len(dct['detected_urls']):
idu = dct['detected_urls'][a]['url']
irdu = str(dct['detected_urls'][a]['positives']) + '/' + str(dct['detected_urls'][a]['total'])
iddu = dct['detected_urls'][a]['scan_date']
else:
duemp()
else:
duemp()
else:
duemp()
if 'undetected_urls' in dct:
if dct['undetected_urls'] is not None:
if a < len(dct['undetected_urls']):
iuu = dct['undetected_urls'][a][0]
iruu = str(dct['undetected_urls'][a][2]) + '/' + str(dct['undetected_urls'][a][3])
iduu = dct['undetected_urls'][a][4]
else:
uuemp()
else:
uuemp()
else:
uuemp()
if 'detected_downloaded_samples' in dct:
if dct['detected_downloaded_samples'] is not None:
if a < len(dct['detected_downloaded_samples']):
idd = dct['detected_downloaded_samples'][a]['sha256']
irdd = str(dct['detected_downloaded_samples'][a]['positives']) + '/' + str(dct['detected_downloaded_samples'][a]['total'])
iddd = dct['detected_downloaded_samples'][a]['date']
else:
ddempty()
else:
ddempty()
else:
ddempty()
if 'undetected_downloaded_samples' in dct:
if dct['undetected_downloaded_samples'] is not None:
if a < len(dct['undetected_downloaded_samples']):
iud = dct['undetected_downloaded_samples'][a]['sha256']
irud = str(dct['undetected_downloaded_samples'][a]['positives']) + '/' + str(dct['undetected_downloaded_samples'][a]['total'])
idud = dct['undetected_downloaded_samples'][a]['date']
else:
udempty()
else:
udempty()
else:
udempty()
if 'detected_communicating_samples' in dct:
if dct['detected_communicating_samples'] is not None:
if a < len(dct['detected_communicating_samples']):
idc = dct['detected_communicating_samples'][a]['sha256']
irdc = str(dct['detected_communicating_samples'][a]['positives']) + '/' + str(dct['detected_communicating_samples'][a]['total'])
iddc = dct['detected_communicating_samples'][a]['date']
else:
dcempty()
else:
dcempty()
else:
dcempty()
if 'undetected_communicating_samples' in dct:
if dct['undetected_communicating_samples'] is not None:
if a < len(dct['undetected_communicating_samples']):
iuc = dct['undetected_communicating_samples'][a]['sha256']
iruc = str(dct['undetected_communicating_samples'][a]['positives']) + '/' + str(dct['undetected_communicating_samples'][a]['total'])
iduc = dct['undetected_communicating_samples'][a]['date']
else:
ucempty()
else:
ucempty()
else:
ucempty()
vtquery(ip,asowner,idns,idu,irdu,iddu,iuu,iruu,iduu,idd,irdd,iddd,iud,irud,idud,idc,irdc,iddc,iuc,iruc,iduc,msg)
else:
if 'as_owner' in dct:
if dct['as_owner'] is not None:
asowner = dct['as_owner']
else:
asowner = ''
else:
asowner = ''
idns = ''
duemp()
uuemp()
ddempty()
udempty()
dcempty()
ucempty()
vtquery(ip,asowner,idns,idu,irdu,iddu,iuu,iruu,iduu,idd,irdd,iddd,iud,irud,idud,idc,irdc,iddc,iuc,iruc,iduc,msg)
time.sleep(4)
print(ip)
print('done')
'''===========================================Excel Design================================================================='''
writer = pd.ExcelWriter(r'D:\VirusTotal.xlsx', engine='xlsxwriter')
df.to_excel(writer, sheet_name='VirusTotal')
workbook = writer.book
worksheet = writer.sheets['VirusTotal']
headerdesign(3,5,True,True,'top','#D7E4BC',1)
headerdesign(6,8,True,True,'top','#FFA500',1)
headerdesign(9,11,True,True,'top','#87CEFA',1)
headerdesign(12,14,True,True,'top','#FFA07A',1)
headerdesign(15,17,True,True,'top','#FFC0CB',1)
headerdesign(18,20,True,True,'top','#40E0D0',1)
cell_format = workbook.add_format()
cell_format.set_text_wrap()
cell_format.set_font_size(10)
worksheet.set_column('B:B', 20, cell_format)
worksheet.set_column('C:C', 40, cell_format)
worksheet.set_column('D:Z', 20, cell_format)
writer.save()
#print(df)