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QR-SHIELD - Research-grade Python framework for QR code threat 防护思路 点击放大
作者:admin 发布:2026-10-06

QR-SHIELD - Research-grade Python framework for QR code threat

项目说明QR-SHIELD !QR-SHIELD Banner > Security Research and Defense Framework for QR Code Threat Analysis --- Status & Badges ![Research License](L…
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QR-SHIELD - Research-grade Python framework for QR code threat

项目说明

QR-SHIELD

!QR-SHIELD Banner

> Security Research and Defense Framework for QR Code Threat Analysis

---

Status & Badges

![Research License](LICENSE)
![Commercial License A](COMMERCIAL-LICENSE.md)
![Cybersecurity Research](SECURITY.md)
![Python 3.10+]()
![Maintained](README.md)

---

O

QR-SHIELD is a research-grade Python framework for analyzing QR-code-related security risks and supporting defensi. It helps security researchers, detection engineers, and defensi study QR-code threat scenarios, develop methods, and impro of emerging risks in the QR ecosystem.

Core Mission: Translate security research into practical defensi.

This project is built for:

  • Security researchers analyzing QR code threats
  • Detection engineers designing defensi
  • Academic institutions studying emerging attack patterns
  • Authorized penetration testers defensi
  • Cybersecurity professionals building threat intelligence
  • Project Philosophy

    QR-SHIELD operates on the principle that understanding relevant threat patterns is essential to building effecti. By studying how QR codes can be abused in controlled research settings, the project supports stronger detection systems, impro, and more resilient security implementations.

    ---

    ⚠️ Legal and Ethical Notice

    This software is provided for authorized security research, defensi, and educational purposes only.

    Prohibited Uses

    Using QR-SHIELD for any of the following is strictly forbidden:

  • Phishing campaigns or social engineering attacks
  • Unauthorized credential exposure or session access
  • Malware delivery or distribution
  • Fraud or financial crimes
  • Unauthorized access to systems or accounts
  • Any illegal activity
  • The author and contributors assume no responsibility for misuse or illegal activity conducted with this software.

    See ETHICS.md, DISCLAIMER.md, and SECURITY.md for complete legal information.

    ---

    Features

    Core Capabilities

  • QR Code Session Acquisition
  • - Multi-platform support: Discord, WhatsApp, Signal,

    - XPath-based QR detection with cascading fallbacks

    - Automated QR refresh handling

    - Post-login session detection

  • Session Capture and Replay
  • - localStorage session capture (Discord, Signal,

    - Profile-based session capture (WhatsApp)

    - Session restoration in isolated browsers

    - Interacti manipulation

  • Browser Automation
  • - Selenium 4 integration with automated dri

    - Firefox-based automation

    - User agent rotation

    - Headless and browser modes

  • Extensible Module System
  • - Plugin architecture for custom modules

    - Dynamic module discovery

    - Reusable execution contexts

    - Clean CLI integration

  • Research-Grade CLI Framework
  • - Interacti shell

    - Command history and resource files

    - Debug, de, and modes

    - Modular command system

  • HTTP Ser
  • - Template-based page serving

    - Dynamic port binding

    - Thread-safe operation

    - Jinja2 template support

    ---

    Architecture O

    See ARCHITECTURE.md for detailed technical breakdown.

    ---

    Use Cases

    Security Research

  • Analyze QR code threat surfaces
  • Develop threat detection signatures
  • Study credential exposure scenarios
  • Research emerging attack patterns
  • Detection Engineering

  • Build QR-based threat detection systems
  • Develop beha analytics
  • Create controlled security simulation en
  • security controls
  • Defensi

  • Authorized penetration testing
  • Security awareness training
  • Defensi
  • Incident response planning
  • Academic Research

  • Study QR code security
  • Analyze platform
  • Document security patterns
  • Publish findings and recommendations
  • ---

    Research Objectives

    1. Threat Analysis: Characterize QR code attack and threat models

    1. Detection De: Engineer detection mechanisms for QR-based threats

    1. Defensi: Identify and implement defensi

    1. Awareness: Build security consciousness around QR code risks

    1. Knowledge Sharing: Publish findings to advance the field

    ---

    Repository Structure

    ---

    Quick Start

    Installation

    Prerequisites:

  • Python 3.10 or later
  • Firefox browser
  • pip package manager
  • Basic Installation:

    For de and contribution, install the optional de:

    See INSTALL.md for detailed installation instructions.

    First Run

    You will see the QR-SHIELD banner and an interacti. From there, you can use commands such as help, list, use, options, set, run, and sessions.

    Example workflow:

    Help System

    ---

    Configuration

    En

  • QRSHIELD_FIREFOX_BINARY - Firefox executable path
  • FIREFOX_BINARY - Fallback Firefox path
  • WSL_DISTRO_NAME - WSL detection
  • On Windows PowerShell, the same setting can be applied at runtime with:

    Runtime Modes

    Resource Files

    Execute commands from file:

    Direct Command Execution

    ---

    Threat Model

    QR-SHIELD implements research into the following threat scenarios:

    1. Session Exposure via QR Code

    - Observing acti during QR-based authentication

    - E secondary controls

    1. Credential Exposure Analysis

    - Re exposure paths from captured sessions

    - Understanding token management risks

    1. Post-Exposure Assessment

    - E behavior after session exposure

    - Understanding platform response patterns

    1. Attack Surface Analysis

    - Identifying QR-specific security considerations

    - Documenting platform-specific weaknesses

    See THREAT_MODEL.md for complete threat analysis.

    ---

    Security Considerations

    Design Principles

    1. Isolation: Research acti should be conducted in isolated, controlled en

    1. : Operations should be traceable and auditable

    1. Containment: No persistent changes to systems under e

    1. Consent: Only use against systems you own or ha authorization to test

    Responsible Use

  • Only operate on systems you control or ha authorization to test
  • Inform relevant parties before conducting authorized testing
  • Document all testing acti
  • Report findings through responsible disclosure channels
  • Ne unauthorized access
  • See SECURITY.md and RESPONSIBLE_DISCLOSURE.md.

    ---

    Documentation

    | Document | Purpose |
    | --- | --- |
    | README.md | Project o and quick start |
    | ARCHITECTURE.md | Technical architecture and design |
    | INSTALL.md | Installation and setup |
    | USAGE.md | Detailed usage documentation |
    | THREAT_MODEL.md | Threat analysis and attack |
    | SECURITY.md | Security policy and considerations |
    | ETHICS.md | Ethical guidelines and principles |
    | DISCLAIMER.md | Legal disclaimer |
    | RESPONSIBLE_DISCLOSURE.md | disclosure process |
    | FAQ.md | Frequently asked questions |
    | CONTRIBUTING.md | Contribution guidelines |
    | CODE_OF_CONDUCT.md | Community standards |

    ---

    Contributing

    QR-SHIELD welcomes contributions from the security research community. See CONTRIBUTING.md for guidelines.

    Areas for Contribution

  • Additional platform modules (Instagram, LinkedIn, etc.)
  • Defensi techniques
  • Research and documentation impro
  • Documentation impro
  • Test co expansion
  • Bug reports and fixes
  • ---

    Roadmap

    1.0.0 (First Public Release)

  • ✅ First public GitHub release
  • ✅ Modern Python packaging and de workflow
  • ✅ Python 3.10+ support
  • ✅ Multi-platform support (Discord, WhatsApp, Signal,
  • Planned Features

    See ROADMAP.md for detailed de plans.

    ---

    QR-SHIELD follows Semantic .

    Format: MAJOR.MINOR.PATCH

  • MAJOR: Breaking changes or significant rewrites
  • MINOR: New features or substantial impro
  • PATCH: Bug fixes and minor impro
  • See CHANGELOG.md for history.

    ---

    Citation

    If you use QR-SHIELD in your research, please cite:

    See CITATION.cff for additional citation formats.

    ---

    License

    QR-SHIELD is distributed under a professional Dual Licensing Model.

  • Community Research License — free for licensed academic, educational, cybersecurity research, defensi, authorized penetration testing, CTF, and internal security assessment use.
  • Commercial License — required for commercial integration, SaaS, consulting, managed security services, OEM licensing, enterprise deployment, or redistribution.
  • This repository is not released under MIT, Apache, GPL, BSD, or any standard OSI license. See LICENSE and COMMERCIAL-LICENSE.md for complete licensing terms.

    ---

    Author

    Puneet Chandra Chaudhary

  • GitHub:
  • Email:
  • ORCID: 0009-0005-7220-2327
  • ---

    Support

    Getting Help

  • Documentation: See docs/ directory
  • FAQ: Check FAQ.md
  • Issues: Report bugs on GitHub Issues
  • Security: Report in SECURITY.md
  • See SUPPORT.md for support channels.

    ---

    Acknowledgements

    QR-SHIELD builds on the following open-source projects:

  • Selenium - Browser automation framework
  • Jinja2 - Template rendering engine
  • Pillow - Image processing dependency used for screenshot capture and image handling
  • requests - HTTP library
  • See ACKNOWLEDGEMENTS.md for complete attribution.

    ---

    Sponsors

    This project is maintained by indi contributors. Sponsorship helps sustain:

  • Security research and de
  • Tool maintenance and bug fixes
  • Documentation and educational materials
  • Community support and engagement
  • Support QR-SHIELD

  • GitHub Sponsors - Primary sponsorship platform
  • Patreon - Recurring support
  • Your support directly enables continued security research and community benefit.

    ---

    Disclaimer

    This software is provided "as-is" without warranty or liability. Use is at your own risk and subject to applicable laws and regulations. The author assumes no responsibility for misuse, damage, or illegal activity.

    See DISCLAIMER.md for complete legal terms.

    ---

    Status

    Project Status: Acti and Maintenance

  • Security: Actively maintained
  • Documentation: Regularly updated
  • Bug fixes: Prioritized
  • Features: Community-driven
  • ---

    Last Updated: July 2026

    Repository: github.com/dreamed000/QR-SHIELD

    项目信息

    开发语言:Python

    Star 数:6

    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Research-grade Python framework for QR code threat analysis, defensive security validation, and authorized cybersecurity testing.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。

    资源标题QR-SHIELD - Research-grade Python framework for QR code threat
    所属分类防护思路
    发布作者admin
    发布时间2026-10-06 00:13:52
    下载权限 免费下载
    附件数量2 个下载链接
    浏览次数504
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