netcafe-security-lab - CafeSec Lab - defensive research and tooling for i

项目说明

CafeSec Lab

!Status
!Research
!License
![Integrity Monitor CI]()
![Release]()

CafeSec Lab is an independent defensi research project for internet cafes, gaming , esports hotels, and managed shared-PC en. The project is global in scope and uses region-neutral public examples so operators can adapt the guidance to local law, contracts, and business conditions.

The project exists to mo billing and management systems from informal trust models toward security models that are observable, testable, and hardenable by small operators with limited budgets.

Quick Links

Mission

CafeSec Lab de practical security guidance, detection logic, and defensi for venue operators and software who manage fleets of public or semi-public Windows hosts. The work is grounded in real operations: billing servers, cashier workstations, client images, restoration systems, local networks, and the daily constraints of small gaming businesses.

The long-term research goals are:

Repository Map

| Path | Purpose |
| --- | --- |
| 01-hardening-checklist/ | hardening checklist, threat model, detection rules, and anonymized case studies. |
| 02-integrity-monitor/ | Python integrity monitoring tool for file, process, and e based detection. |
| 03-blog/ | Public research notes and long-form technical articles. |
| 04-/ | Reproducible, fully network-isolated Hyper- testbed that the detection rules and integrity monitor on real Sysmon/WEF/Wazuh telemetry. |
| .github/ | Security policy, issue templates, CI, and organization profile content. |

loop

The four modules form a closed loop: 01-hardening-checklist defines the baselines and detection
rules, 04- reproduces an isolated en and exercises those rules
plus 02-integrity-monitor on real telemetry, and the resulting (synthetic, human-re) lab
e feeds docs/pilot/ and docs/cvp/ and informs 03-blog. See
04-/CO.md for the rule/checklist → lab mapping.
Lab output is reproducible synthetic e, not field- production results.

Research Scope

CafeSec Lab focuses on defensi:

The project does not provide legal advice. Operators in any jurisdiction should compliance obligations with qualified local counsel and their technology pro.

External

The CafeSec Lab maintainer has completed OpenAI trusted access identity for authorized security work. This provides an external trust signal for legitimate defensi workflows while the project continues to welcome additional dialogue with AI pro, coordination platforms, and security communities.

What This Project Will Not Publish

CafeSec Lab does not publish weaponized proof-of-concept code, bypass tools, exploit chains, credential material, or step-by-step abuse instructions for venue billing systems. When an attack pattern is discussed, the corresponding detection, mitigation, and guidance must appear with it.

The project also does not:

Disclosure and Safety

Potential must be reported through the private channels in .github/SECURITY.md. Public GitHub issues are not an acceptable disclosure channel for .

The disclosure process is aligned with the CERT/CC Guide to Coordinated Disclosure and GitHub's guidance on repository security policies. Project maturity work will track the OpenSSF Best Practices Badge criteria over time.

Contact

Research contact:

General inquiries:

Security and disclosure:

Public research identity: CafeSec Lab Research Team

Maintainer Identity and Account Linkage

CafeSec Lab is maintained by a single accountable indi. The following
personal accounts are published as a identity link between the human
maintainer, this repository, and the AI-provider accounts used for authorized
defensi (including any cyber review):

Role-based domain addresses (security@, research@, )
remain the preferred channels for operational and disclosure contact. The
personal accounts abo to bind the same real person to the project across
GitHub, the AI provider, and out-of-band secure email.

Sensiti should follow the secure-channel instructions in .github/SECURITY.md.

License

Code and documentation are released under the MIT License, unless a file states otherwise.

项目信息

开发语言：PowerShell

Star 数：3

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CafeSec Lab - defensive research and tooling for internet cafe, gaming venue, and shared-PC security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。