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56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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__author__ = 'Apurv Singh Gautam'
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__license__ = "MIT"
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__version__ = "1.0.0"
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__maintainer__ = "Apurv Singh Gautam"
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__status__ = "Development"
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import xlrd
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from pathlib import Path
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from subprocess import call
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from onioningestor.sources import Source
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class Plugin(Source):
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def __init__(self, logger, name, domain, **kwargs):
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self.logger = logger
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self.name = name
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self.domain = domain
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super().__init__(self)
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def run(self):
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self.logger.info('Getting onions from Hunchly')
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lines = []
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'''
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Hunchly Dropbox Link
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https://www.dropbox.com/sh/wdleu9o7jj1kk7v/AADq2sapbxm7rVtoLOnFJ7HHa/HiddenServices.xlsx
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'''
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call(['wget', self.domain]) # Downloading Hunchly spreadsheet file
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tmp_filename = 'HiddenServices.xlsx' # File name of Hunchly spreadsheet
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tmp_filepath = Path(__file__).parents[0]/tmp_filename # File path of the Hunchly spreadsheet
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workbook = xlrd.open_workbook(tmp_filepath) # Opening the Excel workbook
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worksheet = workbook.sheet_by_name('Up') # Selecting 'Up' domains sheet
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for row_idx in range(1, worksheet.nrows): # Iterate through rows
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lines.append(worksheet.cell(row_idx, 1).value) # Getting onion links
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for onion in lines:
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self.onionQueue.put(
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(
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2,
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self.onion(
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url=onion,
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source=self.name,
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type='domain',
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status='offline',
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monitor=False,
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denylist=False)
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)
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)
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call(['rm', tmp_filepath]) # Deleting the temp Hunchly file |