DeepExploit: No Bingos when training on Metasploitable3

[hamidb]

Hi,
I was trying to train the model targeting Metasploitable 3 VM. However, after complete scan and training, not a single Bingo (award > 0) was found. I tried it on both versions of metasploitable 3 (ubuntu and win) with no success.
I also tried it on another linux VM and still could not find any bingo.
I was wondering if that's a known issue or there might be a solution for it.
For reference, I have attached nmap output as well as the log file from DeepExploit.py.
train_met3_win.log

nmap_result_192.168.57.5.txt

[13o-bbr-bbq]

@hamidb I think two solutions.

• increase training number.
  By modify the train_max_num in config.ini , you can increase the training number.

• modify the exploit's module options.
  Usually, the DeepExploit uses default options of exploit's module.
  By you modify the exploit's module option, exploitation accuracy of DeepExploit is improved.
  Please see the Tips: 1. How to change "Exploit module's option".