Umay 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 of binaries 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 query from this database and all malwares that have shared code are listed.
git clone https://github.com/mucoze/Umay
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 project app is accesible from your browser. Default: 127.0.0.1:8000
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.
The groupdel command in Linux removes a group from the system. It deletes the group's entry from /etc/group and /etc/gshadow,…
The wc command in Linux counts lines, words, characters, and bytes in files or standard input. It…
The top command in Linux provides a real-time view of running processes and system resource usage. From…
The usermod command in Linux modifies existing user account attributes. You can use it to manage group…
The sort command in Linux reads lines from files or standard input and writes them to standard…
The wall command in Linux sends a message to the terminals of all currently logged-in users. The…