CyberReconAI - Enterprise Website Security Assessment Toolkit for

项目说明

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<!-- CyberRecon AI README -->
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<!-- Author : Jay Itape -->
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<h1 align="center">🛡️ CyberRecon AI</h1>

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<b>Enterprise Website Security Assessment Toolkit</b>
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Automated Reconnaissance • Intelligence • Risk Analysis • Professional Reporting
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!Python
!Platform
!License
!Type Checked
!Status

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CyberRecon AI is an enterprise-inspired security assessment framework built in Python for authorized defensi assessments.

It automates target reconnaissance, security intelligence collection, correlation, security risk analysis and generates professional HTML, JSON and PDF security assessment reports.

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📖 Table of Contents

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🚀 O

CyberRecon AI is a modular Python framework designed to automate web security reconnaissance and security intelligence gathering.

The project combines multiple reconnaissance and security assessment techniques into a single enterprise-style workflow.

Unlike traditional scripts that only scan ports or retrie information, CyberRecon AI correlates collected information into meaningful security findings and generates professional assessment reports.

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✨ Key Features

🌐 Target Intelligence

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🔒 Security Assessment

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🧠 Intelligence

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📊 Risk Analysis

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📄 Professional Reporting

CyberRecon AI automatically generates:

Each report includes:

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⚡ Enterprise Features

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🏗 Architecture

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🔄 Assessment Workflow

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📸 Project Preview

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<img src="assets/banner.png" alt="CyberRecon AI Banner" width="100%">
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🖥️ Enterprise Terminal Dashboard

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<img src="assets/terminal-dashboard.png" alt="CyberRecon AI Terminal Dashboard" width="100%">
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🛡️ Security Risk Assessment

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<img src="assets/risk-engine.png" alt="CyberRecon AI Risk Engine" width="100%">
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📑 Professional Reports

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<img src="assets/html-report.png" alt="HTML Report" width="48%">
<img src="assets/pdf-report.png" alt="PDF Report" width="48%">
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🌟 Highlights

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⚙️ Requirements

CyberRecon AI has been tested on modern Windows and Linux en.

| Requirement | |
|-------------|---------|
| Python | 3.12+ |
| Operating System | Windows / Linux |
| Internet Connection | Required |
| Git | Recommended |

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📦 Installation

1️⃣ Clone the Repository

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2️⃣ Create a En

Windows

Activate:

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Linux

Activate:

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3️⃣ Install Dependencies

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4️⃣ Installation

If e is installed correctly, CyberRecon AI will display the a command-line options.

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🚀 Usage

Basic Scan

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Scan Any Website

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Example

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🖥 Example Terminal Output

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📄 Generated Reports

CyberRecon AI automatically generates professional reports after every successful assessment.

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🌐 HTML Report

The HTML report provides an interacti assessment suitable for browsers.

Includes:

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📑 JSON Report

The JSON report is intended for automation and integrations.

Includes:

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📕 PDF Report

Professional assessment document generated automatically.

Contains:

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📊 Report Features

| Report | Supported |
|---------|-----------|
| HTML Report | ✅ |
| JSON Report | ✅ |
| PDF Report | ✅ |
| Executi | ✅ |
| Scan Metadata | ✅ |
| Security Findings | ✅ |
| Risk Score | ✅ |
| Recommendations | ✅ |

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📂 Project Structure

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📁 Output Directory

After every scan, CyberRecon AI stores generated reports inside the reports/ directory.

Example:

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📌 Scan Metadata

Each assessment includes:

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🧩 Modules O

| Module | Purpose |
|---------|---------|
| banner.py | Startup banner |
| cli.py | Command-line argument handling |
| target.py | Target |
| whois_lookup.py | WHOIS intelligence |
| dns_lookup.py | DNS enumeration |
| ssl_checker.py | SSL/TLS certificate analysis |
| http_headers.py | HTTP security header analysis |
| technology_detector.py | Technology fingerprinting |
| subdomain_enum.py | Subdomain discovery |
| port_scanner.py | TCP port scanning |
| ser.py | Service detection |
| robots_analyzer.py | robots.txt analysis |
| n.py | National Database integration |
| ce.py | intelligence engine |
| risk_engine.py | Security risk scoring |
| report_generator.py | HTML report generation |
| json_report.py | JSON report generation |
| pdf_generator.py | PDF report generation |
| cache_manager.py | Cache management |
| logger.py | Logging framework |
| ui.py | Rich terminal interface |
| .py | information |

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📈 Current Project Status

| Component | Status |
|-----------|--------|
| Target Analysis | ✅ Complete |
| WHOIS Lookup | ✅ Complete |
| DNS Enumeration | ✅ Complete |
| SSL/TLS Analysis | ✅ Complete |
| HTTP Header Analysis | ✅ Complete |
| Technology Detection | ✅ Complete |
| Subdomain Enumeration | ✅ Complete |
| Port Scanner | ✅ Complete |
| Service Detection | ✅ Complete |
| robots.txt Analyzer | ✅ Complete |
| Intelligence | ✅ Complete |
| N | ✅ Complete |
| Risk Engine | ✅ Complete |
| HTML Report Generator | ✅ Complete |
| JSON Report Generator | ✅ Complete |
| PDF Report Generator | ✅ Complete |
| Enterprise Rich Dashboard | ✅ Complete |
| Concurrent Processing | ✅ Complete |
| Intelligent Cache Manager | ✅ Complete |
| 100% mypy Clean | ✅ Complete |

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🚀 Roadmap

✅ 1.1.0 (Current)

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🔜 1.2.0

Planned impro:

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⚡ Performance

CyberRecon AI is optimized using:

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🤝 Contributing

Contributions are welcome.

Please ensure that:

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📜 License

This project is licensed under the MIT License.

See the LICENSE file for more information.

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👨‍💻 Author

Jay Itape

Electronics & Telecommunication Engineering Student

Cybersecurity Enthusiast

CEH Candidate

Connect with me

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⚠️ Legal Disclaimer

CyberRecon AI is de solely for:

Unauthorized scanning of systems without explicit permission may applicable laws.

The author assumes no responsibility for misuse of this software.

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<di="center">

🛡️ CyberRecon AI

Enterprise Website Security Assessment Toolkit

1.1.0

De with ❤️ using Python

© 2026 Jay Itape

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项目信息

开发语言：Python

Star 数：1

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Enterprise Website Security Assessment Toolkit for Authorized Defensive Security Assessments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。