android-scanner-ai - A powerful static analysis tool that uses AI to sc

项目说明

Android APK Scanner with AI

A powerful static analysis tool that uses AI to scan Android APK files for security and potential issues. The scanner decompiles APK files and analyzes the source code, manifest, and resource files using AI models.

Table of Contents

Features

Prerequisites

Installation

1. Clone the repository:

2. Install required Python packages:

3. Set up JADX:
- Windows: Ensure jadx.bat is in the jadx/bin directory
- Linux: Ensure jadx is executable in the jadx/bin directory

4. Configure API Keys in config.py:
- Obtain your API key from Google AI Studio and add it to the config.py file

5. Configure Models in config.py:
- Set up your Gemini Model by referring to the Gemini models and configure it in the config.py file.

Usage

Run the scanner using the following command:

Arguments

Project Structure

Configuration

Edit config.py to configure:

1. AI Model API Keys:

2. A Models:

3. Analysis Instructions and Rules

Output Format

The scanner generates two types of reports for each analyzed file:

1. Markdown Report (.md):

2. HTML Report:

Supported AI Models

Currently supported AI models:

Security Analysis Co

The scanner analyzes:

1. Ja Files:
- Security
- Code weaknesses
- Best practice

2. AndroidManifest.xml:
- Permission issues
- Component exposure
- Security configurations

3. strings.xml:
- Hardcoded credentials
- Sensitive data
- Configuration issues

Error Handling

The scanner includes robust error handling for:

Performance

Acknowledgments

项目信息

开发语言：Python

Star 数：36

技术要点

该项目属于安全软件方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕A powerful static analysis tool that uses AI to scan Android APK files for security vulnerabilities and potential issues. The scanner decompiles APK files and analyzes the source code, manifest, and resource files using AI models.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。