omnisci3nt - Omnisci3nt is an open-source web reconnaissance an

项目说明

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🕵️‍♂️ Omnisci3nt: Unified Web Reconnaissance Toolkit

Omnisci3nt is a comprehensive web reconnaissance and intelligence framework designed for cybersecurity professionals, ethical hackers, and security researchers. It enables automated discovery and analysis of domain-related data such as subdomains, SSL/TLS certificates, exposed services, technologies, and archived web content.

By aggregating multiple reconnaissance techniques into a single workflow, Omnisci3nt helps users gain clear into a domain’s external attack surface, configuration posture, and historical footprint. This makes it an effective tool for security assessments, bug bounty reconnaissance, threat modeling, and defensi.

Omnisci3nt is intended for authorized testing and security analysis, helping teams understand and reduce unintended exposure across internet-facing assets.

> Omnisci3nt is designed for security research and authorized reconnaissance only.

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☁️ Run It Instantly on Google Colab (No Installation Needed)

![Open In Colab]()

> 💡 *For full functionality and better performance, a local installation is recommended.*

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⚙️ Key Features

| Feature | Description |
|--------|-------------|
| IP Lookup | Retrie and ISP data |
| WHOIS Lookup | Get domain registration information |
| HTTP Header Analysis | Analyze response headers |
| SSL Inspection | Fetch and inspect SSL certificate |
| DNS Enumeration | Gather DNS, Reverse, and Shared DNS records |
| Subdomain Discovery | Identify subdomains using techniques |
| Port Scanning | Scan and detect open ports |
| Directory Brute-Force | Disco files and directories |
| Web Crawling | Fetch links, robots.txt, and sitemap.xml |
| Tech Detection | Detect technologies used by the website |
| Wayback Machine | View archi over time |
| DMARC Analysis | Check domain email authentication (SPF, DKIM, DMARC) |
| Social Media Discovery | Extract social profiles and emails |
| Admin Panel Detection | Identify admin login portals |
| Reverse DNS Lookup | Get hostnames from IP addresses |
| Shared DNS Lookup | Disco domains on the same DNS server |
| Scanner | Scan for common |
| Full Recon Mode | Run all modules for deep analysis |

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<h4 align="center">🖥️ OS Compatibility</h4>
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🧪 Installation

⭔ Example Usage :

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🚀 pipx Installation (Recommended)

Install via pipx for isolated, global access:

#### Step 1: Install pipx

#### Step 2: Install Omnisci3nt

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💡 Example Usage

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🧭 All Command Options

| Command | Description |
|--------|-------------|
| -ip <domain> | IP geolocation info |
| -headers <domain> | Show HTTP headers |
| -whois <domain> | WHOIS lookup |
| -ssl <domain> | SSL certificate analysis |
| -dns <domain> | DNS enumeration |
| -re <domain> | Reverse DNS lookup |
| -shareddns <domain> | Domains on the same DNS |
| -subdomains <domain> | Subdomain enumeration |
| -dmarc <domain> | DMARC record |
| -crawl <domain> | Crawl and fetch links |
| -robots <domain> | Fetch robots.txt and sitemap.xml |
| -tech <domain> | Detect technologies used |
| -wayback <domain> | Archive data from Wayback Machine |
| -social <domain> | Extract social media/email |
| -dirscan <domain> | Directory brute-force |
| -portscan <domain> | Port scanning |
| -admin <domain> | Admin panel finder |
| - <domain> | Run scanner |
| -all <domain> | Run all tools in one go |

Optional command for pipx:

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🤝 Contribute

Pull requests and issues are welcome! Found a bug? Have an idea? Let’s collaborate to impro.

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🧠 To-Do List

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💬 Community & Support

Need help or want to suggest a feature? Join our Discord server and connect with the community.

![Join Discord]()

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📸 Snapshots

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<h4 align="center">⭐️ If this project helped you, please give it a star! ⭐️</h4>

项目信息

开发语言：Python

Star 数：371

技术要点

该项目属于安全软件方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Omnisci3nt is an open-source web reconnaissance and intelligence tool for extracting deep technical insights from domains, including subdomains, SSL certificates, exposed services, archived content, and configuration data. — Omnisci3nt gives you the full picture in seconds.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。