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meta_deep.py
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meta_deep.py
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''' MetaDeep worker '''
import hashlib
import ssdeep as ssd
import pprint
class MetaDeepData(object):
''' This worker computes deeper meta-data '''
dependencies = ['sample', 'meta']
def __init__(self):
''' Initialization '''
self.meta = {}
def execute(self, input_data):
raw_bytes = input_data['sample']['raw_bytes']
self.meta['sha1'] = hashlib.sha1(raw_bytes).hexdigest()
self.meta['sha256'] = hashlib.sha256(raw_bytes).hexdigest()
self.meta['ssdeep'] = ssd.hash(raw_bytes)
self.meta['entropy'] = self._entropy(raw_bytes)
self.meta.update(input_data['meta'])
return self.meta
def _entropy(self, s):
# Grabbed this snippet from Rosetta Code (rosettacode.org)
import math
from collections import Counter
p, lns = Counter(s), float(len(s))
return -sum( count/lns * math.log(count/lns, 2) for count in p.values())
# Unit test: Create the class, the proper input and run the execute() method for a test
def test():
''' meta_deep.py: Unit test'''
# This worker test requires a local server running
import zerorpc
workbench = zerorpc.Client()
workbench.connect("tcp://127.0.0.1:4242")
# Generate input for the worker
import os
data_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), '../data/log/system.log')
md5 = workbench.store_sample('system.log', open(data_path, 'rb').read(), 'log')
input_data = workbench.get_sample(md5)
input_data.update(workbench.work_request('meta', md5))
# Execute the worker (unit test)
worker = MetaDeepData()
output = worker.execute(input_data)
print '\n<<< Unit Test >>>'
pprint.pprint(output)
# Execute the worker (server test)
output = workbench.work_request('meta_deep', md5)
print '\n<<< Server Test >>>'
pprint.pprint(output)
if __name__ == "__main__":
test()