The Complete Guide to Shodan: Collect. Analyze. Visualize. Make Internet Intelligence Work For You. by John Matherly

Author:John Matherly
Language: eng
Format: mobi, azw3, epub
Published: 2016-02-27T22:00:00+00:00

Lets use the banner information to determine which database names are most popular and how much data is publicly exposed on the Internet! The basic workflow will be to:

Download all MongoDB banners

Process the downloaded file and output a list of top 10 database names as well as the total data size

Downloading the data is simple using the Shodan command-line interface:

shodan download --limit -1 mongodb.json.gz product:mongodb

The above command says to download all results (–limit -1) into a file called mongodb.json.gz for the search query product:mongodb. Now we just need a simple Python script to process the Shodan data file. To easily iterate over the file we’re going to use the shodan.helpers.iterate_files() method:

import shodan.helpers as helpers import sys # The datafile is the 1st argument to the command datafile = sys.argv[1] for banner in helpers.iterate_files(datafile): # Now we have the banner

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