How to Solve FunCaptcha automatically | by Using CapSolver Captcha Extension

Captcha is a widely used security mechanism in the modern Internet environment, designed to prevent malicious bots from accessing websites and to protect data against scraping and other abusive behaviours. Yet, with the Internet technology CAPTCHA (the fully automated public Turing test for distinguishing between computers and humans), solving CAPTCHA has become increasingly difficult, especially with the complexity of FunCaptcha.This article will describe how to automate the solution of FunCaptcha challenges using the CapSolver CAPTCHA extension, making it easier for both regular users and developers to solve these obstacles more easily.

Table of Content

• What is Captcha
• How to solve Funcaptcha
  1. CapSolver Captcha Solver Extension
  2. Manually Solving Challenges
  3. OCR
  4. Reverse Engineering
  5. Machine Learning
  6. Automation Tools
• Wrapping Up

What is CAPTCHA

A CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is a mechanism used to distinguish between computers and humans. Its primary purpose is to prevent malicious bots from accessing websites and safeguarding data from scraping and other abuses.

History of CAPTCHA

In 2000, Yahoo! discovered that some computer programs were entering their chat rooms disguised as humans, collecting personal information, and sending spam. Yahoo! sought help from the Computer Science Department at Carnegie Mellon University. A team led by Professor Manuel Blum proposed the first CAPTCHA, requiring users to correctly input a sequence of letters and numbers displayed on the screen with distortion lines. This initiative aimed to differentiate humans from automated bots. In 2001, PayPal began using CAPTCHA as part of its fraud prevention strategy.

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Initially, CAPTCHAs required users to input correct characters, but as internet technology advanced, these became easy for bots to bypass. More complex CAPTCHAs, exemplified by reCAPTCHA (acquired by Google in 2009), emerged. These CAPTCHAs required users to select images that met specific criteria, such as choosing buses, tigers, or cakes. Simultaneously, they collected and analyzed users' browser fingerprints, presenting greater challenges to bots.

Understanding How FunCaptcha Works

FunCaptcha typically requires users to complete a simple image recognition task, such as rotating an object to the correct orientation. These tasks are designed to detect human behavior and reactions, making them difficult for bots to solve. To automate the solution of FunCaptcha, one must first understand its underlying mechanisms:

Image-based Challenges: Users are asked to manipulate images, which can involve rotating or selecting parts of an image.
Behavioral Analysis: FunCaptcha may analyze mouse movements, click patterns, and other behavioral data to determine if the user is human.

How to Solve CAPTCHAs

CapSolver Extension

Free Your Hands with CapSolver Extension - Automatically Solve Funcaptcha Challenges

CapSolver Extension is the best and fastest browser CAPTCHA solving solution (based on AI). It can be easily integrated into browsers like Chrome and Firefox. CapSolver Extension can automatically recognize and solve various Funcaptcha challenges within seconds, without any human intervention. This allows you to enjoy CapSolver's CAPTCHA solving service without writing any code. CapSolver Extension is particularly beneficial for non-developers and people with visual impairments or other disabilities. You can install CapSolver Extension from the respective browser extension stores or manually install the installation package:

1. Chrome: Chrome Web Store
2. Firefox: Firefox Add-ons website
3. GitHub: Official CapSolver Extension GitHub page

The interface after installation is shown below:

All you need to do is fill in your API Key, flip the switch, tick Funcaptcha, and the CapSolver extension will automatically resolve the CAPTCHA when it encounters Funcaptcha:

Using CapSolver Extension in Puppeteer and Selenium

For developers, you can use the CapSolver extension in Puppeteer and Selenium by following these steps:

1. Download the latest zip installation package of the CapSolver extension;
2. Unzip the package, enter the folder, and find the configuration file: /assets/config.js;
3. Open config.js and modify the settings as needed, such as adding an API key;
4. If you are using Selenium, re-compress the unzipped files into a zip file. If using Puppeteer, you can skip this step;
5. Automatically load the CapSolver extension through code. Examples are as follows:

• Puppeteer (Node.js):

const puppeteer = require('puppeteer');

(async () => {
  const path = 'C:/capSolver_extension';  // Folder where the Extension is unzipped 
  const browser = await puppeteer.launch({
    headless: false,
    args: [
      `--disable-extensions-except=${path}`,
      `--load-extension=${path}`,
    ],
  });
  const page = await browser.newPage();
  await page.goto("https://google.com/");
})();

• Selenium (Python)

from selenium import webdriver

chrome_options =  webdriver.ChromeOptions()
chrome_options.add_extension("./capSolver_extension.zip")  # Path to the zip file of the plugin
driver = webdriver.Chrome(options=chrome_options)
driver.get("https://google.com/")

For more details, you can refer to the official documentation of the CapSolver extension, which provides a complete tutorial and examples of its use.

Manually Solving Challenges

While you can choose to manually solve CAPTCHAs, the increasing complexity of these challenges means that they take more time to solve. Research indicates that CAPTCHAs waste millions of valuable human hours, as they take around ten seconds each. Additionally, CAPTCHAs can present significant accessibility barriers for people with visual impairments or other disabilities, limiting their ability to access online resources and services.

Optical Character Recognition (OCR)

OCR (Optical Character Recognition) involves scanning and capturing text from images or videos using various pattern recognition algorithms. This process extracts the text and formatting information contained within the images. OCR technology is effective for simple character-and-number CAPTCHAs. However, it becomes ineffective when faced with more complex challenges.

Reverse Engineering

Many CAPTCHAs use JavaScript code to collect browser fingerprints and user behavior data, which is then encrypted and transmitted to the CAPTCHA backend for verification. To prevent others from reverse engineering the JavaScript code, CAPTCHA providers often obfuscate it, making the code difficult to read. For example, a certain JavaScript code from Funcaptcha may look like the following image:

You can attempt to reverse engineer their JavaScript code. Reverse engineering is a highly technical process that requires a broad knowledge base and significant expertise. For ordinary users, it is almost impossible to achieve this. CAPTCHA providers obfuscate their JavaScript code to make it difficult to read and analyze.

Machine Learning

Many CAPTCHAs feature complex images that require human recognition. For instance, Funcaptcha includes a variety of 3D and 2D graphical challenges with over a hundred types of questions. It can take tens of seconds for a normal person to complete a challenge, which is quite frustrating. However, machine learning can easily recognize these challenges. Machine learning plays a crucial role in CAPTCHA recognition. It can learn from a vast dataset of CAPTCHA images and solve new CAPTCHA images by identifying the required images. However, implementing machine learning requires significant investment in time, human resources, and financial resources, such as purchasing suitable GPU graphics cards. This is not feasible for most individuals.

Automation Tools

Automation tools like Selenium, Playwright, and Puppeteer can simulate click and drag events. However, automation tools alone cannot perfectly solve CAPTCHAs because they lack the ability to recognize images and solve challenges. This is where third-party plugins come into play. Plugins can help recognize image information and solve various challenges. Once the plugin successfully solves the CAPTCHA, you can continue using automation tools for subsequent operations. CapSolver Extension is specifically designed to solve CAPTCHAs.

Wrapping up

Automatically resolving FunCaptcha can have a significant impact on improving user experience and efficiency. By using the CapSolver CAPTCHA extension, you can easily automate the resolution of a variety of FunCaptcha challenges in your browser without having to write code. For developers, CapSolver also provides ways to integrate with Puppeteer and Selenium, making automation even easier. Nonetheless, care should be taken to adhere to the site's Terms of Service and legal requirements when using these tools to ensure legal and ethical operation.