MALWARE ANALYSIS

A web application for malware detection and recognition. This application lets the user upload an apk file, which is then analyzed using static malware analyzing techniques. A report is generated based on the analysis result and the user has the option to download the report in PDF format.

The APK file is scanned using three level checks :

Tech Stack

• React JS
• Material UI
• Django
• Django Rest Framework
• Androguard for static analysis
• jsPDF

Objectives

• Malware Detection
• Research on Android Malware
• Database Processing
• Selection of Methodology

Approach

• We used static analysis for the detection of malware in the APK file. Static analysis involves analysis of the package and permissions defined in the Manifest.xml file.
• Androguard is used to extract the package and permissions from the file and the extracted data is compared with a dataset which has malicious packages and permissions from over 400 malware applications.
• The result of the analysis is then printed on the screen which includes the name and size of the application, package name and the permissions and their description.
• The user is also given an option to download the result in a PDF format.

Installation & Setup

1. Clone the repository
2. To start frontend navigate to dashboard folder and run the following commands :
   • npm install
   • npm start
3. To start backend server, navigate to malware_analysis folder and run the following commands :
   • Make a virtual environment
   • pip install -r requirements.txt
   • pip install -U androguard[magic,GUI]

Project Members:

Sr No.	Name	git-profile
1.	Viraj Patidar	VirajPatidar
2.	Vedant Nakrani	VedantNakrani