[ddj] New Blog Post: Visualizing IP Addresses with Python

[Richard Dunks]

Interesting post. I'm a little concerned that you give short-shrift to
the problems
of geolocation accuracy <http://whatismyipaddress.com/geolocation-accuracy>,
which is problematic even to the city
<https://www.maxmind.com/en/geoip2-city-database-accuracy> for many reasons
<https://www.ccsl.carleton.ca/~jamuir/papers/TR-06-05.pdf>. Having talked
people off the cliff of saying the GeoIP results told them exactly where
users are, I think it's important to heavily caveat the use of GeoIP,
particularly when writing for an audience that may include people without
the technical frame of reference to understand the limitations.

Best,
Richard Dunks

On Wed, Jun 1, 2016 at 11:12 AM, Justin Seitz <justin at automatingosint.com>
wrote:

> Hey folks!
>
>
>
> Building off of my previous blog post on extracting email addresses from
> SQLite files, I put together a second post that operates a bit differently.
>
>
>
> This time around I am extracting IP addresses, geographically locating
> them and then visualizing the result on a map. All in Python.
>
>
>
> Check it out here:
>
>
>
>
> http://www.automatingosint.com/blog/2016/06/expanding-skype-forensics-with-osint-ip-addresses/
>
>
>
> Please shoot me an email if you have any questions or need help with the
> code, I am always happy to help!
>
>
>
> Justin
>
>
>
>
>
> --
> Principal Consultant
> Dark River Systems Inc.
> Saskatoon, SK Canada
> T: (855)-646-7468
> E: justin at automatingosint.com
> @jms_dot_py <https://www.twitter.com/jms_dot_py> |  OSINT Training
> <https://register.automatingosint.com> |  Hunchly <https://www.hunch.ly>
>
>
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-- 
Richard Dunks, Founder
Datapolitan, LLC
www.datapolitan.com
@datapolitan <https://twitter.com/Datapolitan>
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