crond-jaist
commented
1 year ago Hi, I note that you are using the program using a randomly generated topology. Could you confirm first if the program works with the example (fixed) topology provided? As for using random topologies, sometime the generated result may not be compatible in terms of having a valid attack solution, so you may want to try running the program several times, as it will hopefully work in the end. But to be honest I haven't used it much with random topologies, and the developer has left our group, so I cannot help you much. Best wishes, Razvan
Hi, Can someone help me please? I encountered the following problem:
python3 ./AutoPentest-DRL.py logical_attack_gen
################################################################################ AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning ################################################################################ AutoPentest-DRL: Operation mode: Attack on generated logical network AutoPentest-DRL: Target topology: MulVAL_P/topology_generated.P
AutoPentest-DRL: Create random topology using topology-generator... Saved topology in 'Topology_generator/topology-generator/top_info_1.json'.
AutoPentest-DRL: Convert random topology to MulVAL topology... Use topology generation template in 'MulVAL_P/topo_gen_template.P'... Saved MulVAL topology template in 'MulVAL_P/topology_template.P'.
AutoPentest-DRL: Load vulnerability information... Open preprocessed server data... Vulnerability information loaded.
AutoPentest-DRL: Populate topology with vulnerabilities... Saved logical topology in 'MulVAL_P/topology_generated.P'.
AutoPentest-DRL: Compute attack path for generated logical network... Generate attack graph using MulVAL... Process attack graph into attack matrix... Traceback (most recent call last): File "./confirm_path.py", line 9, in
MAP = generateMapClass.sendMap
File "./learn/generateMap.py", line 110, in sendMap
self.x = self.createMatrix()
File "./learn/generateMap.py", line 24, in createMatrix
self.arcsCsvData = self.arcscsv.readlines()
io.UnsupportedOperation: not readable
Traceback (most recent call last):
File "./dqn_learn.py", line 32, in
env = gym.make('dqnenv-v0')
File "/usr/local/lib/python3.7/dist-packages/gym/envs/registration.py", line 581, in make
envcreator = load(spec.entry_point)
File "/usr/local/lib/python3.7/dist-packages/gym/envs/registration.py", line 61, in load
mod = importlib.import_module(mod_name)
File "/usr/lib/python3.7/importlib/init.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 1006, in _gcd_import
File "", line 983, in _find_and_load
File "", line 967, in _find_and_load_unlocked
File "", line 677, in _load_unlocked
File "", line 728, in exec_module
File "", line 219, in _call_with_frames_removed
File "/home/ch1nhpd/AutoPentest-DRL/DQN/learn/env/environment.py", line 12, in
class dqnEnvironment(gym.Env):
File "/home/ch1nhpd/AutoPentest-DRL/DQN/learn/env/environment.py", line 14, in dqnEnvironment
MAP = np.loadtxt('../processdata/newmap.txt')
File "/usr/local/lib/python3.7/dist-packages/numpy/lib/npyio.py", line 1067, in loadtxt
fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
File "/usr/local/lib/python3.7/dist-packages/numpy/lib/_datasource.py", line 193, in open
return ds.open(path, mode, encoding=encoding, newline=newline)
File "/usr/local/lib/python3.7/dist-packages/numpy/lib/_datasource.py", line 533, in open
raise IOError("%s not found." % path)
OSError: ../processdata/newmap.txt not found.