phone-osint-framework - Phone Deep (SO DEEP) OSINT Investigation Framework

项目说明

Phone OSINT In Framework

![Python 3.8+]()
![License: MIT]()
![Defensi]()

Professional-grade phone number intelligence platform implementing breach-first discovery architecture.
Searches breach databases by phone+name to disco emails/usernames, then enriches with TruePeopleSearch,
social media, and employment intelligence.

> Warning: This tool is for authorized security testing, defensi, and educational purposes only.
> Always obtain proper authorization before in phone numbers.

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Key Features

Breach-First Discovery

Conditional Intelligence Gathering

Comprehensi

Professional Reporting

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Quick Start

Installation

Run In

View Results

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API Requirements

Essential (Required):

Highly Recommended:

Optional (Enhanced Results):

See docs/API_SETUP.md for detailed configuration instructions.

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In Flow

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Performance

| Scenario | Time | Data Quality | Confidence |
|----------|------|--------------|------------|
| With Breach Data (2+ emails) | 3-5 min | 80% | 0.8-0.95 |
| Without Breach Data (<2 emails) | 8-12 min | 30% | 0.3-0.7 |

Smart Mode Benefits:

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Dependencies

Core Python Packages:

Optional OSINT Tools:

System Requirements:

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Documentation

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Testing

Test All APIs:

Test Breach APIs:

Run Sample In:

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Security

Ne:

Before Public Sharing:

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Recent Updates (v2.0 - No 2025)

Major Features:

Bug Fixes:

See CHANGELOG.md for complete history.

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Contributing

Contributions welcome! Please see CONTRIBUTING.md for guidelines.

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License

MIT License - See LICENSE file for details.

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Disclaimer

This framework is intended for:

Not intended for:

Users are responsible for ensuring their use complies with all applicable laws and regulations (GDPR, CCPA, etc.).

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Status: Production Ready | : 2.0 | Last Updated: No 2025

For detailed status and architecture, see CURRENT_STATUS.md.

项目信息

开发语言：Python

Star 数：17

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Phone Deep (SO DEEP) OSINT Investigation Framework - Comprehensive phone number OSINT with aggressive name hunting capabilities for defensive security operations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。