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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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RNN Added model using recurrent neural networks Jun 18, 2016
dga_algorithms Refactor 2016 Feb 5, 2016
dga_wordlists Refactor 2016 Feb 5, 2016
help Genereta 1000 domains dataset Feb 10, 2016
.gitignore
DGAClassificationAll.py update Aug 16, 2015
DGAClassificationClass.py
README.md Fix broken Markdown headings Jul 31, 2017
all_dga.txt update Jul 6, 2015
all_legit.txt update alexa 2015 Nov 29, 2015

README.md

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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