Analysis of Android apps based on their behaviour during runtime by Frida / Rosamira Amaran
Android is the most commonly used mobile device operating system. Due to the biggest mobile market, attract many hackers to develop malware to exploit users. Regarding to overcome this problem, developing a trustworthy and fast malware analysis method is necessary. In addition, there are limited res...
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Main Author: | |
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Format: | Thesis |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/107920/1/107920.pdf https://ir.uitm.edu.my/id/eprint/107920/ |
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Summary: | Android is the most commonly used mobile device operating system. Due to the biggest mobile market, attract many hackers to develop malware to exploit users. Regarding to overcome this problem, developing a trustworthy and fast malware analysis method is necessary. In addition, there are limited resources for mobile devices to test applications. Frida , which is free and open source dynamic code instrumentation toolkit that works by injecting a JavaScript engine (Duktape and V8) into the target projects. Besides, Frida lets us execute snippets of JavaScript into native apps on multiple platforms such as Android and iOS. In this project, we can use frida by implements code injection which is writing code directly into process memory. Then, JS gets executed with full access to memory, hooking functions and even calling native functions inside the process. |
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