# lanmaster53/recon-ng

Open Source Intelligence gathering tool aimed at reducing the time spent harvesting information from open sources.

Repository: https://github.com/lanmaster53/recon-ng
Canonical: https://ross.abutalabs.com/products/recon-ng
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2024-11-01T20:11:51+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2715, "days_push": 670, "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 5871, forks 913 (observed 2026-08-28T04:09:31.842146+00:00)

## What it is
Recon-ng is a full-featured, modular reconnaissance framework for conducting web-based open source intelligence (OSINT) gathering. It offers a Metasploit-like console experience, letting users automate harvesting information from open sources via community-contributed modules.

## Use cases
- gather OSINT on a target domain from open sources
- automate web-based reconnaissance for a pentest
- enumerate subdomains and harvest contacts and credentials leaks
- build custom Python recon modules
- run reconnaissance workflows from an interactive console

## When to choose
- you need structured, modular web-based OSINT collection
- you want a Metasploit-style workflow for reconnaissance
- you want to extend recon capabilities with custom Python modules

## When to avoid
- you need exploitation or post-exploitation tooling (use Metasploit)
- you need social engineering tooling (use SET)
- you need active network scanning rather than open-source data harvesting

## Facets
- artifact type: framework
- maturity: active
- function: osint, web-scraping, security, cli, developer-tools
- domain: security, osint, penetration-testing
- platform: python, windows, cli
- tags: reconnaissance, osint-framework, metasploit-like, modular, web-based-recon, command-line, linux, macos

## Member repositories
- lanmaster53/recon-ng (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:31.842146+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 2026-08-29T17:51:35.913848+00:00, confidence not recorded.
  - readme: https://github.com/lanmaster53/recon-ng (fetched 2026-08-28T04:09:31.842146+00:00, sha db5637737343)
- Data as of 2026-08-30T08:39:29.467469+00:00.