mirror of https://github.com/MISP/misp-modules
Clarified functions arguments using a class
parent
4d7642ac91
commit
d885286792
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@ -10,7 +10,94 @@ moduleinfo = {'version': '0.1', 'author': 'Christian Studer',
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moduleconfig = ['header']
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duplicatedFields = {'mispType': {'mispComment': 'comment'},
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'attrField': {'eventComment': 'comment'}}
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'attrField': {'attrComment': 'comment'}}
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class CsvParser():
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def __init__(self, header):
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self.header = header
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self.attributes = []
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def parse_data(self, data):
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return_data = []
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for line in data:
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l = line.split('#')[0].strip() if '#' in line else line.strip()
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if l:
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return_data.append(l)
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self.data = return_data
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# find which delimiter is used
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self.delimiter, self.length = self.findDelimiter()
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def findDelimiter(self):
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n = len(self.header)
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if n > 1:
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tmpData = []
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for da in self.data:
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tmp = []
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for d in (';', '|', '/', ',', '\t', ' ',):
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if da.count(d) == (n-1):
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tmp.append(d)
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if len(tmp) == 1 and tmp == tmpData:
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return tmpData[0], n
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else:
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tmpData = tmp
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else:
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return None, 1
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def buildAttributes(self):
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# if there is only 1 field of data
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if self.delimiter is None:
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mispType = self.header[0]
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for data in self.data:
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d = data.strip()
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if d:
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self.attributes.append({'types': mispType, 'values': d})
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else:
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# split fields that should be recognized as misp attribute types from the others
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list2pop, misp, head = self.findMispTypes()
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# for each line of data
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for data in self.data:
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datamisp = []
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datasplit = data.split(self.delimiter)
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# in case there is an empty line or an error
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if len(datasplit) != self.length:
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continue
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# pop from the line data that matches with a misp type, using the list of indexes
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for l in list2pop:
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datamisp.append(datasplit.pop(l).strip())
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# for each misp type, we create an attribute
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for m, dm in zip(misp, datamisp):
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attribute = {'types': m, 'values': dm}
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for h, ds in zip(head, datasplit):
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if h:
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attribute[h] = ds.strip()
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self.attributes.append(attribute)
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def findMispTypes(self):
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descFilename = os.path.join(pymisp.__path__[0], 'data/describeTypes.json')
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with open(descFilename, 'r') as f:
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MispTypes = json.loads(f.read())['result'].get('types')
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list2pop = []
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misp = []
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head = []
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for h in reversed(self.header):
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n = self.header.index(h)
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# fields that are misp attribute types
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if h in MispTypes:
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list2pop.append(n)
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misp.append(h)
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# handle confusions between misp attribute types and attribute fields
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elif h in duplicatedFields['mispType']:
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# fields that should be considered as misp attribute types
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list2pop.append(n)
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misp.append(duplicatedFields['mispType'].get(h))
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elif h in duplicatedFields['attrField']:
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# fields that should be considered as attribute fields
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head.append(duplicatedFields['attrField'].get(h))
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# otherwise, it is an attribute field
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else:
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head.append(h)
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# return list of indexes of the misp types, list of the misp types, remaining fields that will be attribute fields
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return list2pop, misp, list(reversed(head))
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def handler(q=False):
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if q is False:
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@ -26,96 +113,13 @@ def handler(q=False):
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return misperrors
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config = request['config'].get('header').split(',')
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config = [c.strip() for c in config]
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data = parse_data(data.split('\n'))
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# find which delimiter is used
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delimiter, length = findDelimiter(config, data)
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csv_parser = CsvParser(config)
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csv_parser.parse_data(data.split('\n'))
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# build the attributes
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result = buildAttributes(config, data, delimiter, length)
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r = {'results': result}
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csv_parser.buildAttributes()
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r = {'results': csv_parser.attributes}
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return r
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def parse_data(data):
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return_data = []
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for line in data:
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l = line.split('#')[0].strip() if '#' in line else line.strip()
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if l:
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return_data.append(l)
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return return_data
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def findDelimiter(header, data):
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n = len(header)
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if n > 1:
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tmpData = []
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for da in data:
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tmp = []
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for d in (';', '|', '/', ',', '\t', ' ',):
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if da.count(d) == (n-1):
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tmp.append(d)
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if len(tmp) == 1 and tmp == tmpData:
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return tmpData[0], n
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else:
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tmpData = tmp
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else:
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return None, 1
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def buildAttributes(header, dataValues, delimiter, length):
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attributes = []
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# if there is only 1 field of data
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if delimiter is None:
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mispType = header[0]
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for data in dataValues:
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d = data.strip()
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if d:
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attributes.append({'types': mispType, 'values': d})
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else:
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# split fields that should be recognized as misp attribute types from the others
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list2pop, misp, head = findMispTypes(header)
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# for each line of data
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for data in dataValues:
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datamisp = []
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datasplit = data.split(delimiter)
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# in case there is an empty line or an error
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if len(datasplit) != length:
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continue
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# pop from the line data that matches with a misp type, using the list of indexes
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for l in list2pop:
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datamisp.append(datasplit.pop(l).strip())
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# for each misp type, we create an attribute
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for m, dm in zip(misp, datamisp):
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attribute = {'types': m, 'values': dm}
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for h, ds in zip(head, datasplit):
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if h:
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attribute[h] = ds.strip()
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attributes.append(attribute)
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return attributes
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def findMispTypes(header):
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descFilename = os.path.join(pymisp.__path__[0], 'data/describeTypes.json')
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with open(descFilename, 'r') as f:
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MispTypes = json.loads(f.read())['result'].get('types')
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list2pop = []
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misp = []
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head = []
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for h in reversed(header):
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n = header.index(h)
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# fields that are misp attribute types
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if h in MispTypes:
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list2pop.append(n)
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misp.append(h)
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# handle confusions between misp attribute types and attribute fields
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elif h in duplicatedFields['mispType']:
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# fields that should be considered as misp attribute types
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list2pop.append(n)
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misp.append(duplicatedFields['mispType'].get(h))
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elif h in duplicatedFields['attrField']:
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# fields that should be considered as attribute fields
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head.append(duplicatedFields['attrField'].get(h))
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# otherwise, it is an attribute field
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else:
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head.append(h)
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# return list of indexes of the misp types, list of the misp types, remaining fields that will be attribute fields
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return list2pop, misp, list(reversed(head))
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def introspection():
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return mispattributes
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