Source code for workbench.workers.view_memory_deep

''' view_memory_deep worker '''
import os
import hashlib
import pprint

class ViewMemoryDeep(object):
[docs] ''' ViewMemoryDeep: Generates a view for meta data on the sample ''' dependencies = ['view_memory', 'mem_connscan', 'mem_meta', 'mem_procdump', 'mem_pslist'] def execute(self, input_data):
[docs] ''' Execute the ViewMemoryDeep worker ''' # Aggregate the output from all the memory workers, clearly this could be kewler output = input_data['view_memory'] output['tables'] = {} for data in [input_data[key] for key in ViewMemoryDeep.dependencies]: for name,table in data['tables'].iteritems(): output['tables'].update({name: table}) return output # Unit test: Create the class, the proper input and run the execute() method for a test def test():
[docs] ''' view_memory_deep.py: Unit test''' # This worker test requires a local server running import zerorpc workbench = zerorpc.Client(timeout=300, heartbeat=60) workbench.connect("tcp://127.0.0.1:4242") # Store the sample data_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), '../data/memory_images/exemplar4.vmem') with open(data_path, 'rb') as mem_file: raw_bytes = mem_file.read() md5 = hashlib.md5(raw_bytes).hexdigest() if not workbench.has_sample(md5): md5 = workbench.store_sample(open(data_path, 'rb').read(), 'exemplar4.vmem', 'mem') # Grab the input data input_data = workbench.work_request('view_memory', md5) input_data.update(workbench.work_request('mem_connscan', md5)) input_data.update(workbench.work_request('mem_meta', md5)) input_data.update(workbench.work_request('mem_procdump', md5)) input_data.update(workbench.work_request('mem_pslist', md5)) # Execute the worker (unit test) worker = ViewMemoryDeep() output = worker.execute(input_data) print '\n<<< Unit Test >>>' pprint.pprint(output) assert 'Error' not in output # Execute the worker (server test) output = workbench.work_request('view_memory_deep', md5) print '\n<<< Server Test >>>' pprint.pprint(output) if __name__ == "__main__":
test()