kaifcodec/user-scanner

🕵️‍♂️ (2-in-1) Email & Username OSINT suite featuring native MCP support for deep data extraction just from a single Email/Username. Analyzes 1080+...

View on GitHub ↗Jump to charts ↓Open shareable report

Summary Information

Updated 52 minutes ago
Added to GitGenius on September 14th, 2026
Created on October 19th, 2025
Open Issues & Pull Requests: 13 (+0)
GitHub issues: Enabled
Number of forks: 492
Total Stargazers: 4,932 (+2)
Total Subscribers: 41 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.0 hours
Mean response time: 5.3 days
90th percentile: 17.1 days
Tracked items: 117

Most active contributors

Sign in to see contributor activity.

How this project is maintained

Practically every issue opened in the past year has drawn a reply. 98% of issues opened in the past year have since been closed. Three people close 97% of everything that gets resolved.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 2
New in 7 days: 2
Closed in 7 days: 2
Avg open age: 21 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

Opened in 7 days: 2
Closed in 7 days: 2
Comments in 7 days: 3
Events in 7 days: 8

Top labels

  • good first issue (49)
  • captcha block (12)
  • enhancement (8)
  • spam (7)
  • user module addition (7)
  • wontfix (7)
  • bug fix (5)
  • not easy (5)

Detailed Description

User Scanner is an OSINT tool that performs email and username intelligence gathering across hundreds of web platforms.

The tool addresses the need for comprehensive digital footprinting by scanning across a large network of websites to identify where an email address or username has been registered. Rather than checking sites manually or using limited databases, User Scanner automates the process by testing against multiple scan vectors simultaneously, returning metadata and account information discovered across the internet. The approach enables security researchers and investigators to map a target's digital presence quickly from a single input.

Organizations conducting security research, penetration testing, or threat intelligence work should consider this tool if they need broad account enumeration capabilities. It suits projects requiring rapid identification of registered accounts across many platforms and digital footprinting for investigation purposes. The tool runs on multiple operating systems and is available as a command-line utility, making it accessible to teams with varying infrastructure setups.

The project shows active maintenance with regular updates to its scan vectors to keep pace with platform changes. Development includes integration with the Model Context Protocol, expanding the tool's usability within AI-assisted workflows. The codebase remains responsive to user feedback and platform evolution, ensuring the scan vectors stay functional as websites modify their structures and authentication methods.