# saeeddhqan/Maryam

Maryam: Open-source Intelligence(OSINT) Framework

Repository: https://github.com/saeeddhqan/Maryam
Canonical: https://ross.abutalabs.com/products/maryam
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: owasp, osint, reconnaissance, search-engine, social-network, maryam
Archived: true
Last push: 2024-09-19T18:18:53+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2516, "days_push": 713, "days_rel": 713, "gap_med": null, "n_releases_24m": 1}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1228, forks 191 (observed 2026-08-28T04:04:03.438518+00:00)

## What it is
OWASP Maryam is a modular open-source OSINT framework for harvesting data from open sources, search engines, and social networks. It provides a CLI and web API for running reconnaissance modules such as DNS searches, search engine queries, and social media lookups.

## Use cases
- gather OSINT on a domain
- enumerate DNS records for a target
- search multiple search engines from the command line
- find social media accounts tied to a person or brand
- run reconnaissance during a pentest
- expose OSINT results via a web API

## When to choose
- you need a modular, extensible OSINT toolkit in Python
- you want to automate reconnaissance across search engines and social networks
- you need an OWASP-endorsed framework for data gathering

## When to avoid
- you need a GUI-based OSINT tool
- you only need a single-purpose scanner rather than a framework
- you require Windows support

## Facets
- artifact type: framework
- maturity: active
- function: search-engine, web-scraping, osint, cli, api-framework
- domain: osint, security, penetration-testing, crawlers
- platform: python, cli, cross-platform
- tags: reconnaissance, data-gathering, owasp, social-network, dns-enumeration, threat-intelligence, search, linux, macos

## Member repositories
- saeeddhqan/Maryam (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:03.438518+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 2026-08-30T06:15:12.519615+00:00, confidence not recorded.
  - readme: https://github.com/saeeddhqan/Maryam (fetched 2026-08-28T04:04:03.438518+00:00, sha f4b15e342100)
  - registry_pypi: https://pypi.org/pypi/maryam/json (fetched 2026-08-29T12:23:06.996207+00:00, sha 9e7e632e4d31)
- Data as of 2026-08-30T08:39:29.467469+00:00.