Guise

byPsychopath · Root & System

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android

AI summary

LSPosed/Xposed module for advanced device fingerprint camouflage. Spoofs 40+ parameters per app using a built-in database of 12,183 device models and 1,597 carriers. Supports batch app management, template import/export via JSON/QR, storage isolation, and real-time logging. Version 2.1.0 streamlines template workflows with QR scanning, HTTPS imports, and improved validation.

Generated by AI. May contain inaccuracies.

About this app

Guise Reborn is an LSPosed/Xposed module that provides advanced execution environment camouflage.

Main Features

- 40 configurable camouflage items for each app (increased from 35). - Built-in database with 12,183 device models and 1,597 operators — no external downloads required. - Manage multiple applications simultaneously: select multiple apps and apply preset camouflage configurations with one click. - Import and export camouflage configurations for individual apps. - Configure per-app storage isolation paths. - Choose from a list of pre-configured device models or manually customize your own. - Quick "white screen" shortcut. - Real-time logging system with export capabilities for debugging. - Built-in APK update checker with digital signature verification and integrity checks. - Crash reporting for diagnostics (optional, can be disabled).

System Requirements

- Android 10 (API 29) or higher. - LSPosed / Xposed framework installed. - arm64-v8a architecture only. - Root access required.

Technical Details

- Built with Kotlin 2.4.10 and Android Gradle Plugin 9.3.1. - Multi-module architecture. - Fully open source.

License

GNU General Public License v3.0

xposed module root privacy open source system tool device spoofing

What's new

v2.1.0Aug 25, 2026

Template import and export menus were reworked to make each action easier to choose. - Template import now supports JSON files, HTTPS URLs, camera QR scanning, and QR codes from the photo gallery. - You can now export templates as JSON files, or display and save them as QR codes. - Import validation was strengthened for format, count, and file size, improving reliability with large template sets. - Batch delivery, retry handling, and resource usage were improved for runtime logs. - Japanese translations were refined, including the “blank pass” wording.