
prey-android-client
Android client for Prey: reliable device tracking and security tool

Android client for Prey: reliable device tracking and security tool

mobsfscan is a static analysis tool that can find insecure code patterns in your Android and iOS source code. Supports Java, Kotlin, Swift, and…

Find your device and control it remotely. Works over SMS, instant messengers, or FMD Server's web interface. A secure open source alternative to…

OPPO Find N2 GhostLock (CVE-2026-43499) exploit adaptation

OPPO Find X6 Pro GhostLock (CVE-2026-43499) exploit adaptation

CVE-2026-43499 futex PI stack UAF ???????? - Android GKI 6.1~6.12 ??????? pselect() + futex PI ????????????,??? root ??? SELinux??? OPPO Find…

GhostLock (CVE-2026-43499) for OPPO Find X5 Pro (PFEM10) — OPlus watchdog & heap-spray detector reverse engineering

GhostLock (CVE-2026-43499 / IonStack) research for OPPO Find X5 Pro (PFEM10): exploit chain, progress, blocker log, and OPPO 5-series kernel notes

AndroBugs Framework is an efficient Android vulnerability scanner that helps developers or hackers find potential security vulnerabilities in Android…

Temporary root for OPPO Find X5 Pro (PFEM00) via CVE-2025-21479 + KernelSU LKM late-load (cloud-buildable)

Static taint analysis platform for Android apps that detects vulnerabilities and compliance issues using customizable rule-based scanning and…

Open-source instrumentation framework for Android apps and Java middleware, modifying code during on-device compilation via the ART compiler.…

Static analysis tool for Android/iOS apps focusing on security issues outside the source code

JADX plugin that extracts method names, class references, and source file paths from string constants found in DEX files and decompiled Android code.

Android kernel exploit for Samsung Galaxy S22 that gains kernel-domain root via CVE-2026-43499, with SELinux permissive, device-specific kallsyms,…

A frida tool to dump dex in memory to support security engineers analyzing malware.

Official code for the ISSTA 2026 paper: Is "Knowing It’s Malicious" Enough? Evaluating LLMs for Fine-Grained Malware Behavior Auditing