# lijiejie/subDomainsBrute

A fast sub domain brute tool for pentesters

Repository: https://github.com/lijiejie/subDomainsBrute
Canonical: https://ross.abutalabs.com/products/subdomainsbrute
Language: Python
License Family: other
Last push: 2022-09-15T17:02:42+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4172, "days_push": 1448, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3621, forks 1007 (observed 2026-08-28T04:08:11.854040+00:00)

## What it is
A fast DNS subdomain brute-forcing tool for penetration testers, written in Python with multi-process and coroutine support. It enumerates subdomains via dictionary-based DNS queries and can extract additional names from HTTPS certificates.

## Use cases
- enumerate subdomains of a target domain
- brute force DNS names during a pentest
- discover hidden subdomains with a wordlist
- find subdomains from HTTPS certificates
- run high-speed DNS reconnaissance

## When to choose
- you need a fast, simple CLI subdomain brute-forcer
- you want dictionary-based DNS enumeration with wildcard detection
- you need a lightweight Python tool without heavy dependencies

## When to avoid
- you need passive or OSINT-based subdomain discovery without active DNS queries
- you want a full reconnaissance framework rather than a single-purpose tool
- you need maintained software with an explicit license

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: security, networking, cli
- domain: security, penetration-testing, networking
- platform: python, cli, windows
- tags: subdomain-enumeration, dns-bruteforce, pentesting, dns-lookup, recon, command-line, linux, macos

## Member repositories
- lijiejie/subDomainsBrute (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:11.854040+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 2026-08-29T18:31:57.944838+00:00, confidence not recorded.
  - readme: https://github.com/lijiejie/subDomainsBrute (fetched 2026-08-28T04:08:11.854040+00:00, sha 783f8be59ff4)
- Data as of 2026-08-30T08:39:29.467469+00:00.