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Redis Keys Analysis

This repository contains all the scripts necessary to keep track of the keys that Internet-accessible Redis servers are using. This can reveal whether anybody's currently compromising Redis databases across the Internet.

Requirements

The project is managed using pipenv and if you have it installed you can simply run the following from the project directory:

pipenv install

The only requirement at the moment though is the shodan Python package so you may also install it using pip/ easy_install:

easy_install shodan

The shodan Python package also includes the Shodan CLI which is what the grab-data.sh script uses for downloading all public Redis servers. Make sure you've initialized the Shodan CLI before running grab-data.sh. You can find your API key from the Shodan accounts page or the Developer dashboard:

shodan init YOUR_API_KEY

Usage

The grab-data.sh script downloads a list of public Redis servers and stores the data in a file called redis.json.gz. This Shodan data file is then processed using the keys.py script which will print a list of the top 20 most common Redis keys.

  1. ./grab-data.sh
  2. python keys.py redis.json.gz

Here is a sample output of the script:

Top 20 Redis Keys

#1	crackit                       	5639
#2	1                             	375
#3	xemvlk                        	94
#4	processes                     	77
#5	stat:failed                   	77
#6	zrfdyh                        	76
#7	stat:processed                	74
#8	qwe                           	66
#9	name                          	52
#10	godkey                        	49
#11	unacked_mutex                 	45
#12	queues                        	44
#13	abc                           	43
#14	_kombu.binding.celery         	43
#15	test                          	41
#16	converter_units               	41
#17	xcvcbre                       	37
#18	asdfasfoqwerq33               	36
#19	foo                           	34
#20	_kombu.binding.celeryev       	34

This shows that the most common key name in Redis databases is crackit which is an indication that those instances have been compromised.

About

Using Shodan to get a breakdown of the most common key names in public Redis servers.

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