# EASY233/Finger

一款红队在大量的资产中存活探测与重点攻击系统指纹探测工具

Repository: https://github.com/EASY233/Finger
Canonical: https://ross.abutalabs.com/products/finger
Language: Python
License Family: other
Last push: 2023-12-22T13:16:38+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1988, "days_push": 985, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1724, forks 163 (observed 2026-08-28T04:05:27.951564+00:00)

## What it is
Finger is a Python-based red team tool that performs liveness probing and web system fingerprint detection across large asset lists, identifying key attackable systems like specific CMS platforms. It supports batch URL scanning, IP-based asset collection via Fofa and 360 Quake APIs, and exports results to xlsx or .

## Use cases
- identify CMS fingerprints of target web assets
- batch probe liveness of a large URL list
- collect web assets for an IP range via fofa
- find exploitable systems among client-provided assets
- detect CDN and IP geolocation for targets
- enumerate web assets using quake api

## When to choose
- you are doing red team reconnaissance on many URLs or IPs
- you want an open-source alternative to EHole with a customizable fingerprint library
- you need to prioritize high-value targets from a large asset list

## When to avoid
- you need a general-purpose vulnerability scanner
- you require a maintained tool with active development and a license
- you need non-web asset discovery

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: web-scraping, security, osint, http-client
- domain: security, penetration-testing, osint, developer-tools
- platform: python, cli, cross-platform
- tags: fingerprinting, red-team, asset-discovery, cms-detection, fofa, quake, reconnaissance

## Member repositories
- EASY233/Finger (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:27.951564+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 2026-08-30T03:33:53.563692+00:00, confidence not recorded.
  - readme: https://github.com/EASY233/Finger (fetched 2026-08-28T04:05:27.951564+00:00, sha 3a13279a85c3)
- Data as of 2026-08-30T08:39:29.467469+00:00.