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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.

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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)

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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.

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