IntentFuzzer

Honggfuzz

Security oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW based)

Media Fuzzing Framework for Android

Media Fuzzing Framework for Android

QuarksLab's Android Fuzzing

This project provides materials for performing greybox fuzzing on Android applications by leveraging AFL++ with Frida mode. It includes build configurations, example harnesses, and libraries to facilitate fuzzing of both native and JNI functions in Android environments. ## Key Features - **AFL++ Frida Mode for Android** — CMake configuration to build AFL++ Frida mode for Android 12 aarch64 - **Multiple Harness Examples** — Native, weakly linked JNI, and strongly linked JNI function harnesses for different fuzzing scenarios - **Java Environment Initialization** — jenv library to initialize Java environments from native harnesses - **Ready-to-Use Target** — Includes an Android application (APK) as a fuzzing target for testing - **Practical Implementation** — All materials are associated with a detailed blog post explaining the approach ## Philosophy The project emphasizes practical, reproducible Android fuzzing setups that bridge native code instrumentation with Java/JNI environments through Frida's dynamic instrumentation capabilities.