# rverton/webanalyze

Port of Wappalyzer (uncovers technologies used on websites) to automate mass scanning.

Repository: https://github.com/rverton/webanalyze
Canonical: https://ross.abutalabs.com/products/webanalyze
Language: Go
License: MIT
License Family: permissive
Topics: pentesting, security, enumeration, wappalyzer
Last push: 2026-04-15T02:58:40+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 77, release rhythm 47, longevity 100
- inputs: {"age_days": 4131, "days_push": 140, "days_rel": 140, "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 1168, forks 154 (observed 2026-08-28T04:03:50.768649+00:00)

## What it is
webanalyze is a Go port of Wappalyzer that detects the technologies used on websites, built for performant mass scanning of large host lists. It supports single hosts, host files, crawling, subdomain search, and stdout/CSV/JSON output.

## Use cases
- identify what technologies a website is built with
- fingerprint web servers and frameworks across a large list of hosts
- enumerate tech stacks during a pentest reconnaissance
- detect CMS, CDN, and JavaScript libraries on subdomains
- export detected website technologies to CSV or JSON

## When to choose
- you need to scan thousands of hosts for technology fingerprints quickly
- you want a command-line Wappalyzer alternative that can be automated
- you need machine-readable output (CSV/JSON) for further processing

## When to avoid
- you only need a browser-based view of one site's tech stack
- you need vulnerability scanning rather than technology detection
- you require a GUI tool

## Facets
- artifact type: cli-tool
- maturity: active
- function: security, web-scraping, http-client, cli
- domain: security, penetration-testing, web-development, developer-tools
- platform: windows, cli, go
- tags: wappalyzer, technology-fingerprinting, reconnaissance, mass-scanning, tech-stack-detection, command-line, linux, macos, docker

## Member repositories
- rverton/webanalyze (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:50.768649+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 2026-08-30T06:28:49.227243+00:00, confidence not recorded.
  - readme: https://github.com/rverton/webanalyze (fetched 2026-08-28T04:03:50.768649+00:00, sha 24de0302c99c)
- Data as of 2026-08-30T08:39:29.467469+00:00.