# neuroradiology/InsideReCaptcha

Reverse-engineering the new “captchaless” ReCaptcha system...

Repository: https://github.com/neuroradiology/InsideReCaptcha
Canonical: https://ross.abutalabs.com/products/insiderecaptcha
Language: Python
License Family: other
Last push: 2019-02-15T05:23:48+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": 4285, "days_push": 2756, "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 1049, forks 216 (observed 2026-08-28T04:03:22.715176+00:00)

## What it is
A Python-based research project reverse-engineering Google's 'no-captcha' ReCaptcha system, documenting its obfuscated JavaScript bytecode VM, XTEA-encrypted bytecode, and browser fingerprinting techniques. It serves as a detailed technical analysis write-up rather than a usable tool.

## Use cases
- understand how recaptcha works internally
- learn javascript bytecode obfuscation techniques
- study browser fingerprinting used by captcha systems
- reverse engineer obfuscated javascript
- research anti-bot detection mechanisms

## When to choose
- studying captcha and anti-bot system internals
- learning JavaScript deobfuscation and VM-based obfuscation analysis
- academic research on web security mechanisms

## When to avoid
- looking for a working captcha solver
- needing a maintained library or tool
- bypassing captchas in production

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: reverse-engineering, security, parser
- domain: security, reverse-engineering, web-development
- platform: python, cross-platform
- tags: captcha, recaptcha, anti-bot, javascript-deobfuscation, xtea, research

## Member repositories
- neuroradiology/InsideReCaptcha (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.715176+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 2026-08-30T07:00:32.231171+00:00, confidence not recorded.
  - readme: https://github.com/neuroradiology/InsideReCaptcha (fetched 2026-08-28T04:03:22.715176+00:00, sha dde19dc48536)
- Data as of 2026-08-30T08:39:29.467469+00:00.