# Aabyss-Team/ARL

ARL官方仓库备份项目：ARL(Asset Reconnaissance Lighthouse)资产侦察灯塔系统旨在快速侦察与目标关联的互联网资产，构建基础资产信息库。 协助甲方安全团队或者渗透测试人员有效侦察和检索资产，发现存在的薄弱点和攻击面。

Repository: https://github.com/Aabyss-Team/ARL
Canonical: https://ross.abutalabs.com/products/aabyss-team-arl
Language: Python
License: MIT
License Family: permissive
Topics: arl, security-tools, security, cyber-security
Last push: 2025-07-16T02:31:17+00:00

## Health v2 (maintenance only)
Score: 29/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 31, release rhythm 8, longevity 60
- inputs: {"age_days": 842, "days_push": 414, "days_rel": 547, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2055, forks 740 (observed 2026-08-28T04:06:09.794366+00:00)

## What it is
ARL (Asset Reconnaissance Lighthouse) is a self-hosted asset reconnaissance system that quickly discovers internet-facing assets associated with a target and builds a foundational asset information database. This repository is a community-maintained backup of the original TophantTechnology/ARL project after its official repo was taken down, with install scripts and Docker images maintained by contributors.

## Use cases
- discover subdomains and internet-facing assets for a target domain
- map an organization's external attack surface before a pentest
- build an asset inventory database for a security team
- fingerprint web services to find weak points and exposed components
- monitor asset changes for red team reconnaissance
- enumerate ports, services, and sites tied to a company's IP ranges

## When to choose
- you need automated external asset discovery and attack-surface mapping for authorized assessments
- you want a self-hosted recon platform with a web UI, task scheduling, and fingerprinting
- you are a blue team or pentester building a baseline asset inventory

## When to avoid
- you need actively developed upstream software - the original project was discontinued and this is a backup
- you lack authorization to scan the target assets, as this is a recon tool
- you need a lightweight one-shot scanner rather than a full platform with MongoDB, RabbitMQ, and multiple services

## Facets
- artifact type: application
- maturity: maintenance
- function: security, osint, web-scraping, search-engine, self-hosted
- domain: security, penetration-testing, osint, developer-tools
- platform: python, self-hosted
- tags: asset-reconnaissance, attack-surface-discovery, subdomain-enumeration, fingerprinting, security-recon, community-backup, linux, docker

## Member repositories
- Aabyss-Team/ARL (main) score 29

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:09.794366+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 2026-08-30T02:57:15.321076+00:00, confidence not recorded.
  - readme: https://github.com/Aabyss-Team/ARL (fetched 2026-08-28T04:06:09.794366+00:00, sha d12daefb64a6)
- Data as of 2026-08-30T08:39:29.467469+00:00.