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https://github.com/whots/rosaryav

Lightweight Threat Detection System - (Base)
https://github.com/whots/rosaryav

antivirus detection malware malware-protection onlyfans vulnerability windows

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Lightweight Threat Detection System - (Base)

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README

        

# RosaryAV - Lightweight Threat Detection

## Overview
RosaryAV is a nascent threat detection solution designed with a focus on efficiency and minimal resource usage. This user-side project serves as an open-source reference for developers with similar interests in cybersecurity and system protection. Our goal is to provide a foundation for detecting potential threats in a non-invasive manner, paving the way for a future transition into a comprehensive anti-virus solution.

**This public repo will not contain any type of:**
- Injection techniques: RosaryAV does not utilize any injection techniques for code execution or manipulation.
- Malicious evasive techniques: This project does not employ any malicious techniques to bypass security mechanisms or obfuscate its functionality.
- Self-security: As a development project, RosaryAV does not prioritize self-protection features at this stage.


## Current Focus
- **Threat Detection**: Custom methodologies of heuristic & triage methods to identify potential system threats.
- **Performance**: Ensuring low resource consumption and minimal impact on user experience.

## Future Direction
The project aims to evolve into a full-fledged threat removal tool. The final product, which will encompass both user-mode and kernel-mode environments, will not be open-source but instead offered as a paid service.

## Contribution
We welcome contributions from individuals who share our vision of a safer digital environment. If you're working on similar projects or have insights that could propel RosaryAV forward, please consider contributing.

## License
This project is currently open-source for educational and collaborative purposes. The licensing for the final product will be determined as the project matures.

## Acknowledgments
Shoutout to [OALabs](https://www.openanalysis.net/). They have an excellent community for learning reverse engineering, with professionals offering insider knowledge. Check out their [UnpackMe](https://www.unpac.me/#/) challenges and support them on [Patreon](https://www.patreon.com/oalabs).

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Please note that this README is for the open-source portion of RosaryAV. The proprietary version of this solution will be developed privately.