# n0tr00t/Sreg

Sreg可对使用者通过输入email、phone、username的返回用户注册的所有互联网护照信息。

Repository: https://github.com/n0tr00t/Sreg
Canonical: https://ross.abutalabs.com/products/sreg
Language: HTML
License: MIT
License Family: permissive
Last push: 2019-10-31T10:09:34+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4193, "days_push": 2498, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1246, forks 391 (observed 2026-08-28T04:04:07.179513+00:00)

## What it is
Sreg is a Python CLI OSINT tool that checks whether an email, phone number, or username has been used to register accounts across many Chinese internet platforms, generating an HTML report of results. It supports a JSON-based plugin system for adding new site checks.

## Use cases
- find which sites an email is registered on
- check username usage across platforms
- osint investigation of a phone number
- enumerate account registrations for a target
- add custom site registration-check plugins

## When to choose
- you need to discover platform registrations tied to an email, phone, or username
- you want an extensible plugin-based registration checker for Chinese sites

## When to avoid
- you need an actively maintained tool with working site checks
- you need coverage of non-Chinese platforms

## Facets
- artifact type: cli-tool
- maturity: abandoned
- function: osint, web-scraping, security, plugin-system
- domain: security, osint, developer-tools
- platform: python, cli, cross-platform
- tags: username-enumeration, account-discovery, osint-tool, registration-check, chinese-sites

## Member repositories
- n0tr00t/Sreg (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:07.179513+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:08:05.186109+00:00, confidence not recorded.
  - readme: https://github.com/n0tr00t/Sreg (fetched 2026-08-28T04:04:07.179513+00:00, sha 267c11788e00)
- Data as of 2026-08-30T08:39:29.467469+00:00.