communityid 1.5.0

Community ID flow hashing

pycommunityid

This package provides a Python implementation of the open Community ID flow hashing standard.

It supports Python versions 2.7+ (for not much longer) and 3+.

Installation

This package is available on PyPI, therefore:

pip install communityid

To install locally from a git clone, you can use also use pip, e.g. by saying

pip install -U .

Usage

The API breaks the computation into two steps: (1) creation of a flow tuple object, (2) computation of the Community ID string on this object. It supports various input types in order to accommodate network byte order representations of flow endpoints, high-level ASCII, and ipaddress objects.

Here's what it looks like:

import communityid

cid = communityid.CommunityID()
tpl = communityid.FlowTuple.make_tcp('127.0.0.1', '10.0.0.1', 1234, 80)

print(cid.calc(tpl))

This will print "1:mgRgpIZSu0KHDp/QrtcWZpkJpMU=".

The package includes three sample applications:

• community-id, which calculates the ID directly for given flow tuples. It supports a small but growing list of parsers. Example:

  $ community-id tcp 10.0.0.1 10.0.0.2 10 20
  1:9j2Dzwrw7T9E+IZi4b4IVT66HBI=
  

• community-id-pcap, which iterates over a pcap via dpkt and renders Community ID values for each suitable packet in the trace. This exercices the package's "low-level" API, using flow tuple values as you'd encounter them in a typical network monitor.

• community-id-pcapfilter, which iterates over a pcap via dpkt and produces a pcap of only those packets whose Community IDs have a specific value, filtering out all others.

• community-id-tcpdump, which takes tcpdump output on stdin and augments it with Community ID values on stdout. This exercices the package's "high-level" API, using ASCII representations of tuple values.

Testing

The package includes a unittest testsuite in the tests directory that runs without installation of the module. After changing into that folder you can invoke it e.g. via

python -m unittest communityid_test

or

nose2 -C --coverage ../communityid --coverage-report term-missing communityid_test

or by running ./communityid_test.py directly.