# WebSpiderUtils/verification_code

验证码研究破解心得记录。包含网易易盾，阿里云验证码，极验验证码，通用汉字识别，梦幻西游验证等主流验证码破解。包含点按验证码、点选验证、语序点选等等。已更新极验验证码、企业公示网/工商/文书采集系统、极验打码接口。

Repository: https://github.com/WebSpiderUtils/verification_code
Canonical: https://ross.abutalabs.com/products/verification_code
Language: C
License: MIT
License Family: permissive
Last push: 2023-12-26T09:30:11+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": 2361, "days_push": 981, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1165, forks 235 (observed 2026-08-28T04:03:50.099854+00:00)

## What it is
A research repository documenting approaches and code for solving mainstream CAPTCHA systems such as Geetest, NetEase Yidun, and Aliyun CAPTCHA, including click-based, character-order, and slider types. It includes YOLO-based Chinese character detection and classification models with training handbooks and datasets for local CAPTCHA recognition.

## Use cases
- crack geetest captcha validate parameter
- recognize chinese characters in click captcha
- train yolo model to locate captcha characters
- solve netease yidun captcha
- build dataset for captcha character recognition
- bypass slider captcha with machine learning

## When to choose
- you are researching CAPTCHA security or building recognition models for click-based Chinese character CAPTCHAs
- you need training handbooks and datasets for CAPTCHA object detection and classification
- you want documented reverse-engineering notes for Geetest front-end JS

## When to avoid
- you need a production-ready commercial CAPTCHA solving service - the demo API is closed and usage is restricted to learning
- you need actively maintained code - many items are unfinished and updates have stalled
- you need a turnkey solution for all CAPTCHA types - slider trajectories and some models are incomplete

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, machine-learning, web-scraping, ocr, deep-learning
- domain: computer-vision, crawlers, machine-learning, security
- platform: python
- tags: captcha-cracking, captcha-recognition, geetest, yidun, yolo-v3, darknet, chinese-character-recognition, click-captcha, slider-captcha, web-crawling, linux, gpu

## Member repositories
- WebSpiderUtils/verification_code (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:50.099854+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 2026-08-30T06:29:20.230911+00:00, confidence not recorded.
  - readme: https://github.com/WebSpiderUtils/verification_code (fetched 2026-08-28T04:03:50.099854+00:00, sha ad305eda9c5f)
- Data as of 2026-08-30T08:39:29.467469+00:00.