Github Funcaptcha | Solver

Use tools like Undetected ChromeDriver or Playwright stealth plugins to mimic legitimate user configurations (Canvas, WebGL, and User-Agent headers).

Features. Proxy/Proxyless HTTP(s) Support. 100% Requests Based. Quick Solve time. v1 funcap Audio solver. Custom Useragent option. GitHub - ZFC-Digital/funcaptcha-solver

: An AI-driven service that supports various captcha types, including FunCaptcha.

Using standard requests, you can communicate with a solver API. Here is a clean structural example of how to request and retrieve a solution token:

Note: While highly cost-effective, local AI solvers require constant retraining because Arkose Labs frequently updates its puzzle sets. Top GitHub FunCaptcha Solving Services github funcaptcha solver

Even if the image is solved, the script must correctly handle the API token returned by Arkose Labs.

Completcha claims the highest solving success rate on the market, with most challenges solved without requiring image solving at all. Bright Data's solver is trusted by over 20,000 customers worldwide and uses a premium proxy network of over 100 million IPs.

Before diving into solvers, it is essential to understand why GitHub uses this specific security measure and how it triggers. What is FunCaptcha?

Make an HTTP POST request to your chosen CAPTCHA solving service (such as 2Captcha, CapSolver, or Anti-Captcha) containing the extracted parameters. Use tools like Undetected ChromeDriver or Playwright stealth

Using frameworks like TensorFlow or PyTorch, a pre-trained model predicts the "correct" state of the puzzle (e.g., the angle at which an animal is standing upright). Automation:

These tools are compatible with major browser automation frameworks including , Playwright , and Puppeteer .

import requests import time API_KEY = "YOUR_SOLVER_API_KEY" PAGE_URL = "https://github.com" PUBLIC_KEY = "DEB00EA2-615D-4053-A7A4-6E4AD0B2EE88" # Example GitHub Public Key SUR_URL = "https://arkoselabs.com" # Step 1: Submit the task to the solver payload = "clientKey": API_KEY, "task": "type": "FunCaptchaTaskProxyLess", "websiteURL": PAGE_URL, "websitePublicKey": PUBLIC_KEY, "funcaptchaApiJSSubdomain": SUR_URL response = requests.post("https://solver-service.com", json=payload) task_id = response.json().get("taskId") # Step 2: Poll for the result print("Solving CAPTCHA...") while True: time.sleep(5) result_payload = "clientKey": API_KEY, "taskId": task_id result_response = requests.post("https://solver-service.com", json=result_payload) status = result_response.json().get("status") if status == "ready": captcha_token = result_response.json().get("solution").get("token") print("Success! Token obtained.") break elif status == "failed": print("Failed to solve CAPTCHA.") break Use code with caution. 3. Submit the Token

Resolving these puzzles automatically requires a reliable . This article explores how GitHub implements FunCaptcha, the technology behind automated solvers, and a step-by-step guide to integrating a solving service into your automation scripts. Understanding GitHub's FunCaptcha Mechanism 100% Requests Based

Inspect the target page to find the public key ( pk ). For GitHub, this key is constant but can occasionally vary by endpoint. You will also need the exact page URL. 2. Structure the Request

Most repositories are 2-4 years old. They contain Python scripts using Selenium or Puppeteer. They likely fail today because Arkose Labs updates their DOM elements and encryption keys weekly.

Stopping brute-force attacks and credential stuffing.

Inject the token into the hidden fc-token field and submit the form. 3. Implementation Example (Conceptual Python/Playwright)