SentinelGuard - SentinelGuard is a modular anti-cheat research fra

项目说明

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<img width="1563" height="607" alt="Sentinel (1)" src=" />

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Anti-Cheat System

!Python
!Anti-Cheat
!License
!Game Dev
!Tests

A modular anti-cheat framework designed to detect and prevent common cheating techniques in FPS-style games. Inspired by ’s system, this project focuses on detection components without in enforcement.

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O

SentinelGuard is a modular anti-cheat framework that detects and prevents common cheating techniques in first-person shooter (FPS) games. It includes components for detecting a of cheating methods such as aimbots, wallhacks, and more, while focusing on pro detection without enforcement.

> [!IMPORTANT]
> Keep in mind this project is still under hea so information may be changed or inaccurate.

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📁 Repository Structure

src/

Contains the source code scripts for each anti-cheat module. Each script implements a distinct detection or defense mechanism.

docs/

Detailed documentation for every component, explaining its purpose, implementation details, and usage instructions.

logs/

Stores runtime log files generated by the anti-cheat modules, including alerts, detections, and errors.

keys/

Holds cryptographic key files (public and private RSA keys) used for signing and within select modules.

baseline/

Contains encrypted baseline files and their corresponding digital signatures used for integrity .

> [!CAUTION]
> Cryptographic keys included in this repository are for lab and demonstration purposes only and must never be reused in a real-world or production en.

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📚 Component Documentation

File Integrity Checker

Detects unauthorized modifications to critical game files by comparing cryptographic hashes against a digitally signed baseline.

Memory Monitor

Monitors system memory to detect suspicious patterns indicating code injection or memory tampering.

Process Watcher

Watches running processes and flags blacklisted or anomalous behavior indicative of cheat tools.

Input Logger

Detects unusual input patterns or injected inputs that may result from macros or keyloggers.

Network Sniffer Blocker (Work In Progress)

Identifies tools attempting to intercept or inspect game traffic.

Behavior Analysis (Work In Progress)

Analyzes player behavior data to detect aimbots, wallhacks, or other automated cheating strategies.

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🚀 Getting Started

To run a specific module, execute its corresponding script inside the src/ directory.
Refer to the documentation for each component to understand setup requirements and usage details.

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License

This project is licensed under the MIT License.

项目信息

开发语言：Python

Star 数：2

技术要点

该项目属于防护思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕SentinelGuard is a modular anti-cheat research framework focused on detecting integrity violations, memory tampering, and abnormal behavior in FPS-style games. The project emphasizes defensive detection concepts and learning, inspired by modern kernel-assisted anti-cheat architectures.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。