mirror of https://github.com/MISP/misp-modules
				
				
				
			
		
			
				
	
	
		
			72 lines
		
	
	
		
			2.5 KiB
		
	
	
	
		
			Python
		
	
	
			
		
		
	
	
			72 lines
		
	
	
		
			2.5 KiB
		
	
	
	
		
			Python
		
	
	
| import json
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| import binascii
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| import np
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| import ezodf
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| import pandas_ods_reader
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| import io
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| import logging
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| 
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| misperrors = {'error': 'Error'}
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| mispattributes = {'input': ['attachment'],
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|                   'output': ['freetext', 'text']}
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| moduleinfo = {
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|     'version': '0.1',
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|     'author': 'Sascha Rommelfangen',
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|     'description': 'Module to extract freetext from a .ods document.',
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|     'module-type': ['expansion'],
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|     'name': 'ODS Enrich',
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|     'logo': 'ods.png',
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|     'requirements': ['ezodf: Python package to create/manipulate OpenDocumentFormat files.', 'pandas_ods_reader: Python library to read in ODS files.'],
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|     'features': 'The module reads the text contained in a .ods document. The result is passed to the freetext import parser so IoCs can be extracted out of it.',
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|     'references': [],
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|     'input': 'Attachment attribute containing a .ods document.',
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|     'output': 'Text and freetext parsed from the document.',
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| }
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| 
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| moduleconfig = []
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| 
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| 
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| def handler(q=False):
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|     if q is False:
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|         return False
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|     q = json.loads(q)
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|     filename = q['attachment']
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|     try:
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|         ods_array = np.frombuffer(binascii.a2b_base64(q['data']), np.uint8)
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|     except Exception as e:
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|         print(e)
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|         err = "Couldn't fetch attachment (JSON 'data' is empty). Are you using the 'Query enrichment' action?"
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|         misperrors['error'] = err
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|         print(err)
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|         return misperrors
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| 
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|     ods_content = ""
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|     ods_file = io.BytesIO(ods_array)
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|     doc = ezodf.opendoc(ods_file)
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|     num_sheets = len(doc.sheets)
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|     try:
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|         for i in range(0, num_sheets):
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|             rows = pandas_ods_reader.parsers.ods.get_rows(doc, i)
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|             try:
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|                 ods = pandas_ods_reader.algo.parse_data(pandas_ods_reader.parsers.ods, rows, headers=False, columns=[], skiprows=0)
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|                 ods = pandas_ods_reader.utils.sanitize_df(ods)
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|             except TypeError:
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|                 ods = pandas_ods_reader.algo.read_data(pandas_ods_reader.parsers.ods, ods_file, i, headers=False)
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|             ods_content = ods_content + "\n" + ods.to_string(max_rows=None)
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|         return {'results': [{'types': ['freetext'], 'values': ods_content, 'comment': ".ods-to-text from file " + filename},
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|                             {'types': ['text'], 'values': ods_content, 'comment': ".ods-to-text from file " + filename}]}
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|     except Exception as e:
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|         logging.exception(e)
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|         err = "Couldn't analyze file as .ods. Error was: " + str(e)
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|         misperrors['error'] = err
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|         return misperrors
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| 
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| 
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| def introspection():
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|     return mispattributes
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| 
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| 
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| def version():
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|     moduleinfo['config'] = moduleconfig
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|     return moduleinfo
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