IPDetails – a useful multi-tool to gather details about an IP address

IPDetails – a useful multi-tool to gather details about an IP address

What I initially needed IPDetails to offer

A couple of months ago I needed a tool that allowed me to gather more information on IP addresses that I'd collected using SiLK. The tool will enable me to cluster IP addresses for cloud flows, not just on the IP address, but on the AS number and ISP. This was the brief for IPDetails.

Firstly I needed a resource on the that I could look up this information. Ideally, it would have to have an interface that would allow easy programmatic interfacing. I'd be dealing with a lot of IP addresses for some of the tasks. I found one on the IP-API.COM website. This gives AS# and names, geo-location data, and ISP information using a simple submission URL.

This tool would take a file of IP addresses from the SiLK outputs and use the IP-API.COM interface to retrieve the additional information and save it back as a CSV file. I import this as an input into modelling tools such as Gephi, providing further information to cluster applications together.

It's been a while since my time at Borland. I've not had to code more than a couple of lines of scripts in the interim. Since then the coding style and tools sets, and even languages have changed substantially. So with the aid of Python, and the documentation website, and a few hours, I've been able to knock up a fairly decent tool. (I'm not saying the tool or coding is the best, there are element's I'd like to try to remove in the future, but for now, it works).

You can find the IPDetails.py on my GitHub repository.

Other things that got added to IPDetails.py along the way

Along the way, I also decided that it would be good to add alternative output formats, such as text and JSON. Also, nefarious parts of the Internet occasionally tapped this website, and it would be good for me to quickly lookup IP addresses from the command line. Various tweaks and modifications to the code got these added over time. Now it's complete. It is time to reveal it to the world (even though has been on-going publicly via ).

How you use IPDetails.py

IPDetails.py uses Python 3 (preferably 3.5 or later) to run. It operates in two modes, the first being the file-based input mode.

In this mode you use the command-line IPDetails.py [-f {txt [-d],csv,json}] [inputfilename] [outputfilename]

The -f option specifies the output format, selecting from txt, multiline detailed txt (-f txt -d), CSV or JSON modes. The inputfilename if omitted becomes stdin, and similarly, an omitted outputfilename becomes stdout, allowing it to be used in pipes.
In the alternate mode, the command line becomes IPDetails.py -a address where address is an or an IPv6 address. In this mode, you get the detailed txt output.

[john@danube]$ ./IPDetails.py -a
Looking up address:

IP: -public--a.google.com
Geo: US United States Mountain View
Lat: 37.4229 Long: -122.085 TZ: America/Los_Angeles
AS#: 15169 Google Inc. Google Google

Enjoy, and if you think you can improve the code a little, submit a GitHub pull request, or comment on GitHub, or below.

John Dixon

John Dixon is the Principal Consultant of thirteen-ten nanometre networks Ltd, based in Wiltshire, United Kingdom. He has a wide range of experience, (including, but not limited to) operating, designing and optimizing systems and networks for customers from global to domestic in scale. He has worked with many international brands to implement both data centres and wide-area networks across a range of industries. He is currently supporting a major SD-WAN vendor on the implementation of an environment supporting a major global fast-food chain.

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