andrewaeva/dgaThe 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.
alexa top million
a few dns domain's from opendns
domain's from GameoverZeus.py http://garage4hackers.com/entry.php?b=3081
domain's from Сryptolocker.pl
domain's from PushDo.py http://www.garage4hackers.com/entry.php?b=3080
https://www.csis.dk/en/csis/news/4472/
http://www.constitution.org/usdeclar.txt
domain's from Conficker.c
domain's from Tinba.py http://garage4hackers.com/entry.php?b=3086
domain's from Matsnu.py http://www.seculert.com/blog/2014/11/dgas-a-domain-generation-evolution.html
domain's from Ramdo.cpp
0 - legit
1 - cryptolocker
2 - zeus
3 - pushdo
4 - rovnix
5 - tinba
6 - conficker
7 - matsnu
8 - ramdo
Author: Andrey Abakumov ( [email protected] )
License: GNU General Public License v2 (http://opensource.org/licenses/gpl-2.0.php)