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AI Agent 分析
BL

p1ngul1n0/blackbird

An OSINT tool to search for accounts by username and email in social networks.

Star
7.5k
语言
Python
GitHub
来源与合规提示最近同步: Aug 10, 2026

Git-Stars 是独立产品,不隶属于 GitHub 或该项目。 分析可能由 AI 辅助生成,依据公开仓库元数据和 README 的短摘要。 我们不镜像完整 README、文档、Issue 或社媒评论。

原始 GitHub 来源方法论编辑政策

概览

Blackbird is an OSINT (Open Source Intelligence) tool that enables fast username and email searches across more than 600 platforms, integrating community-driven data from WhatsMyName to ensure low false positives. It adds free AI-powered profiling to generate behavioral and technical user profiles, with features like smart filters, PDF/CSV exports, and automated analysis from a single CLI.

安装方式

git clone https://github.com/p1ngul1n0/blackbird && cd blackbird && pip install -r requirements.txt

解决的问题

Blackbird solves the problem of manually checking multiple platforms for a username or email, which is time-consuming and error-prone. It centralizes searches across 600+ sites with low false positives, and its AI profiling adds context that raw search results lack, helping analysts understand a target's online presence quickly.

可以构建什么

Developers can build OSINT investigation tools, social media monitoring dashboards, or automated background check systems. Real-world uses include cybersecurity threat intelligence, fraud detection, digital footprint analysis for HR or due diligence, and law enforcement investigations. The AI profiling feature allows for automated behavioral analysis, and the PDF/CSV exports enable report generation for professional use.

社区反馈

正向反馈

暂时没有社区反馈。

风险关注

暂时没有记录到风险关注。

结论

Blackbird is a powerful OSINT tool for security professionals, investigators, and researchers who need efficient username/email enumeration with AI-enhanced profiling. It should be avoided by those without legitimate investigative purposes or who are not mindful of privacy and legal boundaries. The key trade-off is its dual-use nature: high utility for defense and intelligence, but significant potential for misuse.

由 Git-Stars 分析 - 8/10/2026