Comments (4)
Thanks for the suggestion!
There is already a script to convert an email message to a CybOX object (https://github.com/CybOXProject/Tools/blob/master/scripts/email_to_cybox/email_to_cybox.py), but it predates the python-cybox library and will probably be mostly rewritten.
I hadn't thought about adding the functionality to parse emails directly to the python-cybox library, but I agree it would be useful.
from python-cybox.
I think features that allow to create objects from files are essential if you want people using Cybox. The script Email_to_cybox
is a good example that saves a lot of time. It should be same for the other objects.
The real question is whether these functionalities should be integrated into python-cybox
or into another package called python-cybox-tools
for example ?
The advantage of the integrated directly into the base library is to have a single package. The issue is that this package may have many dependencies if this kind of functionality is integrated:
- Parsing of packets (
scapy
,pcap
) - Parsing of flows (
pysilk
,pynetflow
) - Parsing of personnel (
ldif
,vobj
) - A very long list...
My 2 cents
from python-cybox.
We've been having the same discussion internally this morning (essentially, python-cybox
vs. python-cybox-tools
). For emails, it's a bit harder of a decision since email.message.Message
is in the Python Standard Library, but as you said, the others introduce a large amount of dependencies that we probably don't want on the basic python-cybox
library.
For now, we aren't going to move the code entirely into python-cybox
, though we may add something to examples/
(which doesn't get installed, but whose purpose to demonstrate how to use the API).
from python-cybox.
We aren't going to support this in the foreseeable future, so I'm going to close this issue.
from python-cybox.
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