Multiple errors / Fixes about machine_learning_security

[13o-bbr-bbq]

Hi @someusername123
thanks for advise.
maybe, you use the python2, but deep exploit doesn't support the python2.
we've checked that Deep Exploit runs on the python3.
could you try again using python3 (recommend python3.6)?

[someusername123]

python3 gives this output ( end result is a illegal instruction code crash)

root@UnknownK:/shit# git clone https://github.com/13o-bbr-bbq/machine_learning_security.git
Cloning into 'machine_learning_security'...
remote: Counting objects: 800, done.
remote: Total 800 (delta 0), reused 0 (delta 0), pack-reused 800
Receiving objects: 100% (800/800), 12.59 MiB | 5.04 MiB/s, done.
Resolving deltas: 100% (479/479), done.
root@UnknownK:/shit/machine_learning_security/DeepExploit# pip3 install -r requirements.txt -I
Collecting beautifulsoup4==4.6.0 (from -r requirements.txt (line 1))
Downloading https://files.pythonhosted.org/packages/9e/d4/10f46e5cfac773e22707237bfcd51bbffeaf0a576b0a847ec7ab15bd7ace/beautifulsoup4-4.6.0-py3-none-any.whl (86kB)
100% |████████████████████████████████| 92kB 296kB/s
Collecting docopt==0.6.2 (from -r requirements.txt (line 2))
Collecting Jinja2==2.10 (from -r requirements.txt (line 3))
Using cached https://files.pythonhosted.org/packages/7f/ff/ae64bacdfc95f27a016a7bed8e8686763ba4d277a78ca76f32659220a731/Jinja2-2.10-py2.py3-none-any.whl
Collecting Keras==2.1.6 (from -r requirements.txt (line 4))
Using cached https://files.pythonhosted.org/packages/54/e8/eaff7a09349ae9bd40d3ebaf028b49f5e2392c771f294910f75bb608b241/Keras-2.1.6-py2.py3-none-any.whl
Collecting msgpack-python==0.5.6 (from -r requirements.txt (line 5))
Collecting numpy==1.13.3 (from -r requirements.txt (line 6))
Using cached https://files.pythonhosted.org/packages/57/a7/e3e6bd9d595125e1abbe162e323fd2d06f6f6683185294b79cd2cdb190d5/numpy-1.13.3-cp36-cp36m-manylinux1_x86_64.whl
Collecting pandas==0.23.0 (from -r requirements.txt (line 7))
Using cached https://files.pythonhosted.org/packages/69/ec/8ff0800b8594691759b78a42ccd616f81e7099ee47b167eb9bbd502c02b9/pandas-0.23.0-cp36-cp36m-manylinux1_x86_64.whl
Collecting tensorflow==1.8.0 (from -r requirements.txt (line 8))
Using cached https://files.pythonhosted.org/packages/22/c6/d08f7c549330c2acc1b18b5c1f0f8d9d2af92f54d56861f331f372731671/tensorflow-1.8.0-cp36-cp36m-manylinux1_x86_64.whl
Collecting MarkupSafe>=0.23 (from Jinja2==2.10->-r requirements.txt (line 3))
Collecting six>=1.9.0 (from Keras==2.1.6->-r requirements.txt (line 4))
Using cached https://files.pythonhosted.org/packages/67/4b/141a581104b1f6397bfa78ac9d43d8ad29a7ca43ea90a2d863fe3056e86a/six-1.11.0-py2.py3-none-any.whl
Collecting h5py (from Keras==2.1.6->-r requirements.txt (line 4))
Downloading https://files.pythonhosted.org/packages/8e/cb/726134109e7bd71d98d1fcc717ffe051767aac42ede0e7326fd1787e5d64/h5py-2.8.0-cp36-cp36m-manylinux1_x86_64.whl (2.8MB)
100% |████████████████████████████████| 2.8MB 2.9MB/s
Collecting pyyaml (from Keras==2.1.6->-r requirements.txt (line 4))
Collecting scipy>=0.14 (from Keras==2.1.6->-r requirements.txt (line 4))
Using cached https://files.pythonhosted.org/packages/a8/0b/f163da98d3a01b3e0ef1cab8dd2123c34aee2bafbb1c5bffa354cc8a1730/scipy-1.1.0-cp36-cp36m-manylinux1_x86_64.whl
Collecting pytz>=2011k (from pandas==0.23.0->-r requirements.txt (line 7))
Using cached https://files.pythonhosted.org/packages/dc/83/15f7833b70d3e067ca91467ca245bae0f6fe56ddc7451aa0dc5606b120f2/pytz-2018.4-py2.py3-none-any.whl
Collecting python-dateutil>=2.5.0 (from pandas==0.23.0->-r requirements.txt (line 7))
Using cached https://files.pythonhosted.org/packages/cf/f5/af2b09c957ace60dcfac112b669c45c8c97e32f94aa8b56da4c6d1682825/python_dateutil-2.7.3-py2.py3-none-any.whl
Collecting tensorboard<1.9.0,>=1.8.0 (from tensorflow==1.8.0->-r requirements.txt (line 8))
Using cached https://files.pythonhosted.org/packages/59/a6/0ae6092b7542cfedba6b2a1c9b8dceaf278238c39484f3ba03b03f07803c/tensorboard-1.8.0-py3-none-any.whl
Collecting grpcio>=1.8.6 (from tensorflow==1.8.0->-r requirements.txt (line 8))
Downloading https://files.pythonhosted.org/packages/1f/ea/664c589ec41b9e9ac6e20cc1fe9016f3913332d0dc5498a5d7771e2835af/grpcio-1.12.1-cp36-cp36m-manylinux1_x86_64.whl (9.0MB)
100% |████████████████████████████████| 9.0MB 1.4MB/s
Collecting protobuf>=3.4.0 (from tensorflow==1.8.0->-r requirements.txt (line 8))
Downloading https://files.pythonhosted.org/packages/fc/f0/db040681187496d10ac50ad167a8fd5f953d115b16a7085e19193a6abfd2/protobuf-3.6.0-cp36-cp36m-manylinux1_x86_64.whl (7.1MB)
100% |████████████████████████████████| 7.1MB 2.4MB/s
Collecting gast>=0.2.0 (from tensorflow==1.8.0->-r requirements.txt (line 8))
Collecting absl-py>=0.1.6 (from tensorflow==1.8.0->-r requirements.txt (line 8))
Collecting wheel>=0.26 (from tensorflow==1.8.0->-r requirements.txt (line 8))
Using cached https://files.pythonhosted.org/packages/81/30/e935244ca6165187ae8be876b6316ae201b71485538ffac1d718843025a9/wheel-0.31.1-py2.py3-none-any.whl
Collecting astor>=0.6.0 (from tensorflow==1.8.0->-r requirements.txt (line 8))
Using cached https://files.pythonhosted.org/packages/b2/91/cc9805f1ff7b49f620136b3a7ca26f6a1be2ed424606804b0fbcf499f712/astor-0.6.2-py2.py3-none-any.whl
Collecting termcolor>=1.1.0 (from tensorflow==1.8.0->-r requirements.txt (line 8))
Collecting werkzeug>=0.11.10 (from tensorboard<1.9.0,>=1.8.0->tensorflow==1.8.0->-r requirements.txt (line 8))
Using cached https://files.pythonhosted.org/packages/20/c4/12e3e56473e52375aa29c4764e70d1b8f3efa6682bef8d0aae04fe335243/Werkzeug-0.14.1-py2.py3-none-any.whl
Collecting bleach==1.5.0 (from tensorboard<1.9.0,>=1.8.0->tensorflow==1.8.0->-r requirements.txt (line 8))
Using cached https://files.pythonhosted.org/packages/33/70/86c5fec937ea4964184d4d6c4f0b9551564f821e1c3575907639036d9b90/bleach-1.5.0-py2.py3-none-any.whl
Collecting html5lib==0.9999999 (from tensorboard<1.9.0,>=1.8.0->tensorflow==1.8.0->-r requirements.txt (line 8))
Collecting markdown>=2.6.8 (from tensorboard<1.9.0,>=1.8.0->tensorflow==1.8.0->-r requirements.txt (line 8))
Using cached https://files.pythonhosted.org/packages/6d/7d/488b90f470b96531a3f5788cf12a93332f543dbab13c423a5e7ce96a0493/Markdown-2.6.11-py2.py3-none-any.whl
Collecting setuptools (from protobuf>=3.4.0->tensorflow==1.8.0->-r requirements.txt (line 8))
Using cached https://files.pythonhosted.org/packages/7f/e1/820d941153923aac1d49d7fc37e17b6e73bfbd2904959fffbad77900cf92/setuptools-39.2.0-py2.py3-none-any.whl
Installing collected packages: beautifulsoup4, docopt, MarkupSafe, Jinja2, six, numpy, h5py, pyyaml, scipy, Keras, msgpack-python, pytz, python-dateutil, pandas, werkzeug, setuptools, protobuf, html5lib, bleach, markdown, wheel, tensorboard, grpcio, gast, absl-py, astor, termcolor, tensorflow
Successfully installed Jinja2-2.10 Keras-2.1.6 MarkupSafe-1.0 absl-py-0.2.2 astor-0.6.2 beautifulsoup4-4.6.0 bleach-1.5.0 docopt-0.6.2 gast-0.2.0 grpcio-1.12.1 h5py-2.8.0 html5lib-0.9999999 markdown-2.6.11 msgpack-python-0.5.6 numpy-1.14.3 pandas-0.23.0 protobuf-3.6.0 python-dateutil-2.7.3 pytz-2018.4 pyyaml-3.12 scipy-1.1.0 setuptools-39.2.0 six-1.11.0 tensorboard-1.8.0 tensorflow-1.8.0 termcolor-1.1.0 werkzeug-0.14.1 wheel-0.31.1
root@UnknownK:/shit/machine_learning_security/DeepExploit# gedit /.keras/keras.json
#modified json file to what was stated in the installation documentation here
root@UnknownK:/shit/machine_learning_security/DeepExploit# python3 DeepExploit.py
Using TensorFlow backend.
Illegal instruction
root@UnknownK:/shit/machine_learning_security/DeepExploit# python3 DeepExploit.py -t 127.0.0.1 -m train
Using TensorFlow backend.
Illegal instruction

[someusername123]

Python3.6 gives the same illegal instruction throw

[13o-bbr-bbq]

maybe, it is problem of tensorflow version.
tensorflow/tensorflow#17411

please, try tensorflow 1.5.

> pip uninstall tensorflow
> pip install tensorflow==1.5

[someusername123]

I actually moved to a Kali 2018 light version and it seems to work fine for the most part, I get errors when it is attempting to exploit. See below
File "/usr/lib/python3.6/threading.py", line 916, in _bootstrap_inner
self.run()
File "/usr/lib/python3.6/threading.py", line 864, in run
self._target(*self._args, **self._kwargs)
File "DeepExploit.py", line 2033, in
job = lambda: worker.run(exploit_tree, target_tree, saver, env.save_file)
File "DeepExploit.py", line 1827, in run
self.environment.run(exploit_tree, target_tree)
File "DeepExploit.py", line 1733, in run
target_tree)
File "DeepExploit.py", line 953, in reset_state
service_name = target_tree[port_num]['prod_name']
TypeError: string indices must be integers

I'm using python3.6 -t xx.xx.xx.xx -m train

[13o-bbr-bbq]

thanks for you retry.
i repaired above problems, please try again.

• Note
  i suppose that port number within target_info is string type.
  but, it may insert port number of integer type to target_info for unknown cause.
  so, i repaired to certainly insert port number of string type to target_info.

[someusername123]

Retried with same command line as before, getting an error on enumerating the exploits now, see below
[*] 139/1161 exploit:linux/imap/imap_uw_lsub, targets:1
Traceback (most recent call last):
File "DeepExploit.py", line 1970, in
exploit_tree = env.get_exploit_tree()
File "DeepExploit.py", line 409, in get_exploit_tree
payload_list = self.client.get_target_compatible_payload_list(exploit, int(target))
File "DeepExploit.py", line 178, in get_target_compatible_payload_list
ret = self.call('module.target_compatible_payloads', [module_name, target_num])
File "DeepExploit.py", line 102, in call
resp = self.client.getresponse()
File "/usr/lib/python3.6/http/client.py", line 1331, in getresponse
response.begin()
File "/usr/lib/python3.6/http/client.py", line 297, in begin
version, status, reason = self._read_status()
File "/usr/lib/python3.6/http/client.py", line 266, in _read_status
raise RemoteDisconnected("Remote end closed connection without"
http.client.RemoteDisconnected: Remote end closed connection without response

[13o-bbr-bbq]

i added the function of re-connection.
please, try again.