Source code for workbench.workers.mem_connscan

''' Memory Image ConnScan worker. This worker utilizes the Rekall Memory Forensic Framework.
    See Google Github: http://github.com/google/rekall
    All credit for good stuff goes to them, all credit for bad stuff goes to us. :)
'''
import os
import hashlib
import mem_base

class MemoryImageConnScan(mem_base.MemoryImageBase):
[docs] ''' This worker computes connscan-data for memory image files. ''' dependencies = ['sample'] def __init__(self): ''' Initialization ''' super(MemoryImageConnScan, self).__init__() self.set_plugin_name('connscan') def execute(self, input_data):
[docs] output = super(MemoryImageConnScan, self).execute(input_data) # Organize the output a bit output['tables'] = ['connscan'] output['connscan'] = output['sections']['Info'] del output['sections'] return output # Unit test: Create the class, the proper input and run the execute() method for a test import pytest
@pytest.mark.rekall def test(): ''' mem_connscan.py: 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('exemplar4.vmem', open(data_path, 'rb').read(), 'mem') # Execute the worker (unit test) worker = MemoryImageConnScan() output = worker.execute({'sample':{'raw_bytes':raw_bytes}}) print '\n<<< Unit Test >>>' import pprint pprint.pprint(output) assert 'Error' not in output # Execute the worker (server test) output = workbench.work_request('mem_connscan', md5) print '\n<<< Server Test >>>' import pprint pprint.pprint(output) assert 'Error' not in output if __name__ == "__main__": test()