# TideSec/TideFinger

TideFinger——指纹识别小工具，汲取整合了多个web指纹库，结合了多种指纹检测方法，让指纹检测更快捷、准确。

Repository: https://github.com/TideSec/TideFinger
Canonical: https://ross.abutalabs.com/products/tidefinger
Language: Python
License Family: other
Last push: 2023-05-23T00:22:17+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": 2689, "days_push": 1199, "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 2086, forks 350 (observed 2026-08-28T04:06:11.948511+00:00)

## What it is
TideFinger is a Python web fingerprinting tool that merges rule sets from multiple open-source fingerprint databases (Wappalyzer, webanalyzer, WhatWeb) to identify CMS and web technologies. It ships as a Python 2/3 CLI script backed by a SQLite fingerprint database of ~5900 rules.

## Use cases
- identify what cms a website is running
- detect web technologies used by a target url
- fingerprint web applications during pentest recon
- find out if a site uses wordpress or other platforms
- aggregate multiple web fingerprint databases into one scan

## When to choose
- you want a single script combining several fingerprint rule sets
- you need a lightweight python cli for cms/tech detection
- you want an offline fingerprint database you can update manually

## When to avoid
- you need an actively maintained tool with community support
- you want a library to integrate into your own code rather than a standalone script
- you require directory brute-force probing by default or low-noise scanning

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: security, http-client, cli
- domain: security, web-development, penetration-testing
- platform: python, cli, windows
- tags: fingerprinting, cms-detection, web-recon, wappalyzer, reconnaissance, linux, macos

## Member repositories
- TideSec/TideFinger (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.948511+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 2026-08-30T02:55:47.754068+00:00, confidence not recorded.
  - readme: https://github.com/TideSec/TideFinger (fetched 2026-08-28T04:06:11.948511+00:00, sha 36f5dd85bf2d)
- Data as of 2026-08-30T08:39:29.467469+00:00.