Umay: IoT Malware Similarity Analysis Platform

Umay – IoT Malware Similarity Analysis Platform

This project provides IoT malware similarity analysis based on shared codes. It helps to identify other malwares that have shared code with the analyzed file. In this way, you can have a chance to get an idea about the family of the malware. There are various devices with different architectures in the IoT ecosystem. Static-based methods are more effective when addressing the multi-architecture issue. 1000 malware binaries provided by IoTPOT were used in the project. The basic blocks and functions of each binary were extracted by radare2 and the hash values of these data were stored in the SQL database. The basic blocks and functions of the sample to be analyzed are queries from this database and all malwares that have shared code are listed.

Current features

• Shared code-based static analysis.
• Supporting ARM, MIPS, x86-64, i386, PowerPC, m68k, Renesas SH.
• ?

Install

git clone https://github.com/mucoze/Umay.git
cd Umay
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
python manage.py makemigrations
python manage.py migrate
python manage.py createsuperuser
python manage.py runserver

and now the project app is accessible from your browser. Default: 127.0.0.1:8000

Create your own dataset file

python create_dataset.py samples/

Give the directory where all the samples are located as an argument and it will generate the dataset.db file for you.

Copyright (C) 2021 mucoze