Captcha Me If You Can Root Me [updated] Jun 2026

platform. It is designed to test your ability to automate the solving of CAPTCHAs using scripts rather than human input. Challenge Overview

# 2. Preprocess image: convert to greyscale and threshold img = img.convert("L") img = img.point(lambda p: 0 if p < 200 else 255, '1')

: By 2024, studies already showed that AI could solve traditional text-based CAPTCHAs with 99.8% accuracy , significantly outperforming humans. captcha me if you can root me

def solve_math_captcha(self, captcha_text): # For math expressions like "5 + 3" match = re.search(r'(\d+)\s*([+\-*/])\s*(\d+)', captcha_text) if match: a, op, b = int(match[1]), match[2], int(match[3]) if op == '+': return a + b elif op == '-': return a - b elif op == '*': return a * b elif op == '/': return a // b return None

“Captcha Me If You Can” is a classic on the Root‑Me platform, created by user koma and first published on 23 March 2012 . Despite its age, the challenge remains highly relevant for anyone learning how to automatically solve image‑based CAPTCHAs. It forces you to write a script that can fetch a CAPTCHA image, decode the text embedded in it, and submit the answer – all within a strict three‑second time limit . platform

Using the Requests library or Playwright helps automate the entire fetch-solve-submit loop. Why This Matters in Security

CAPTCHA Me If You Can, Root Me If You're Able: The High-Stakes Game of Bot Protection Preprocess image: convert to greyscale and threshold img

Iterating through the image data to check if a pixel is isolated. If a pixel's neighbors are entirely white, it is classified as noise and wiped out. 3. Optical Character Recognition (OCR)