Adlice forum

Software feedback => MRF => Topic started by: plamentenev on October 12, 2017, 12:57:14 pm

Title: PE Data error
Post by: plamentenev on October 12, 2017, 12:57:14 pm
Hi I started using MFT before a few days and I think this is a really wonderful tool.
But I have a problem and if you can help will be very cool!
When I click on the PE Data tab of the uploaded sample, the message "Unable to load data." is appear. It is the same with a doc or pdf file - when I click this tab the error message is appeared.

(https://forum.adlice.com/data:image/png;base64,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)

Maybe something is not set correctly, but I`am not sure what is it!
Would you help me?!
Title: Re: PE Data error
Post by: Curson on October 12, 2017, 01:22:49 pm
Hi plamentenev,

Welcome to Adlice.com Forum.
Could you please attach Apache logfile (last lines) in your next reply ?

Regards.
Title: Re: PE Data error
Post by: plamentenev on October 12, 2017, 01:53:30 pm
Thanks for quick response!
This message was find in the var/logs/apache2/error.log:

Traceback (most recent call last):
  File "/var/www/html/mrf/src/modules/pefile/peparse.py", line 2, in <module>
    import os, sys, pefile, json, base64, struct, binascii, time, unicodedata, re
  File "/var/www/html/mrf/src/modules/pefile/pefile.py", line 26, in <module>
    from past.builtins import cmp, long
ImportError: No module named past.builtins

In the access.log there is nothing strange.

Title: Re: PE Data error
Post by: Curson on October 12, 2017, 02:16:20 pm
Hi plamentenev,

Could you please install the Future package and test if it solves the issue ?
Code: [Select]
pip install future
Regards.
Title: Re: PE Data error
Post by: plamentenev on October 12, 2017, 02:40:50 pm
I did it. Now the message i different: PE Exception: "No module named pyasn1.codec.ber" - but this is for PE samples only.
For doc and pdf files the error is: "Unable to load data."

PS: Which version of Python is recommended for use with MRF tool. I use 2.7.6 right now.

Best regards.
Title: Re: PE Data error
Post by: Curson on October 12, 2017, 02:45:42 pm
Hi plamentenev,

It seems there is an issue with some Python modules.
Could you please try the following command line ?
Code: [Select]
sudo apt-get --reinstall install python-pyasn1 python-pyasn1-modules
Regards.
Title: Re: PE Data error
Post by: plamentenev on October 12, 2017, 02:58:17 pm
YES!
Now everything works perfect!
Thank you man you are #1 and the tool is very cool!

Best regards!
Title: Re: PE Data error
Post by: Curson on October 12, 2017, 03:22:06 pm
Hi plamentenev,

Thanks for your feedback. I'm glad I was able to help you.
Many thanks for the kind words, this is appreciated.

Regards.
Title: Re: PE Data error
Post by: Tigzy on October 17, 2017, 12:16:57 pm
Hey, just so we know did you follow the prerequisites?
https://www.adlice.com/documentation/mrf/documentation/#install