DGA

The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the possibility of applying machine learning and neural networks to detect and classify malicious domains. List of wordlist's

alexa.csv

alexa top million

opendns-top-domains.txt

a few dns domain's from opendns

zeus.txt

domain's from GameoverZeus.py http://garage4hackers.com/entry.php?b=3081

cryptolocker.txt

domain's from Сryptolocker.pl

pushdo.txt

domain's from PushDo.py http://www.garage4hackers.com/entry.php?b=3080

rovnix.txt

https://www.csis.dk/en/csis/news/4472/
http://www.constitution.org/usdeclar.txt

conficker.txt

domain's from Conficker.c

tinba.txt

domain's from Tinba.py http://garage4hackers.com/entry.php?b=3086

matsnu.txt

domain's from Matsnu.py http://www.seculert.com/blog/2014/11/dgas-a-domain-generation-evolution.html

ramdo.txt

domain's from Ramdo.cpp

the translation from id to name

0 - legit
1 - cryptolocker
2 - zeus
3 - pushdo
4 - rovnix
5 - tinba
6 - conficker
7 - matsnu
8 - ramdo

About

Author: Andrey Abakumov ( andrewaeva@ya.ru )

License: GNU General Public License v2 (http://opensource.org/licenses/gpl-2.0.php)