antimalwareapp - Anti-malware for Android using machine learning

项目说明

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!LibreA v1.0

A free and open source anti-malware for android using machine learning.

<img src=" height="75" />

> #### ⚠️⚠️ PLEASE BE AWARE THAT LIBREAV IS STILL IN ITS EARLY STAGES OF DE AND MAY CONTAIN A LOT OF FALSE POSITIVES IN PREDICTION. THIS PROJECT IS DE FOR EDUCATIONAL PURPOSES ONLY AND WE MAKE NO GUARANTEE THAT THE OUTPUT PRODUCED BY LIBREAV IS ABSOLUTELY CORRECT. SO PLEASE DO NOT JUDGE OTHER APPLICATIONS USING THE OUTPUT OF LIBREA.⚠️⚠️

About

Features

How it works?

LibreAV uses permissions and intent-filters to detect malicious apps. While scanning, it loads the machine learning model and extracts permissions and intents from the installed applications on the user's device. These extracted features are then fed to the machine learning model in the form of a . The machine learning model returns a prediction score between 0 and 1 that denote the degree of maliciousness of the scanned application. We use this score to classify the scanned app into one of the following categories:
1. Goodware: The prediction score is less than 0.5
2. Risky: Prediction score between 0.5 and 0.75
3. Malware: Prediction score is greater than 0.75
4. Unknown: If LibreAV is unable to extract permissions and intents from an app, then that app is labelled as 'Unknown'

You can check the code for building machine learning model here

Contributing to LibreAV

Check out our contribution guidelines here

* Translation: If you want to help translate LibreAV into your language head over to the Crowdin project.
* Discussion: Matrix channel #LibreA.org. You can also use Github Discussions to ask questions, share ideas and engage with other community members.
* Report False Positives: If you think LibreA false positives, please report it here.

Open Source License

Unless explicitly stated otherwise all files in this repository are licensed under the GNU General Public License v3.0. All projects must properly attribute The Original Source.

LibreA for Android using machine learning
Copyright (C) 2020 Project Matris

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either 3 of the License, or
(at your option) any later .

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

You should ha a copy of the GNU General Public License
along with this program. If not, see <

An unmodified copy of the abo text must be included in all forks.

External Credits

1. A huge thanks to goorax for sharing the dataset.
2. .com for sharing access to malware samples.
3. Mike Penz for AboutLibraries

> Android is a trademark of Google LLC.

项目信息

开发语言：Java

Star 数：299

技术要点

该项目属于病毒分析方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Anti-malware for Android using machine learning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。