CAPTCHAs are tests that determine whether traffic to a website originates from a human or a bot. They work by providing challenges that are difficult for computers to solve but easy for humans.
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Related terms: Bot traffic | IP address | Bot detection
CAPTCHA stands for “Completely Automated Public Turing test to tell Computers and Humans Apart”. These tests act as an authentication mechanism to ensure that traffic to a website originates from a real human, and not a robot. Sometimes they are called “I am not a robot” tests.
CAPTCHA tests can appear at various points during your interaction with a website, such as during login attempts, form submissions, or when your browsing activity mimics bot traffic – for example, by refreshing your browser many times or quickly opening a lot of links.
Websites can use many different kinds of CAPTCHA tests. They can be:
ReCAPTCHA is a CAPTCHA service from Google that many websites use. While reCAPTCHA v1 required you to decipher and input text from a distorted image, reCAPTCHA v2 presents you with a much simpler “I am not a robot” checkbox. ReCAPTCHA v2 analyzes your behavior, such as how you move the mouse cursor, to establish whether you are a human or a robot.
If Google’s initial analysis is inconclusive, you may be presented with image-based challenges where you need to select images that match a given prompt (for example, "Select all images with traffic lights").
The latest version of reCAPTCHA (v3) uses a score-based system that does not interrupt your browsing. Instead, it runs in the background and assigns a score to your behavior based on the perceived likelihood of your activity originating from a bot or human. ReCAPTCHA v3 assigns a score from zero to one, with zero meaning the activity is perceived as almost certainly a bot, and human likelihood increasing as the score gets closer to one.
Websites use CAPTCHAs to detect and block automated traffic. High-traffic websites like social media platforms, ecommerce websites, and online banking services are prime targets for automated abuse. Bots can flood these platforms with spam or fraudulent activity, potentially causing significant harm to the business and its customers.
In this context, CAPTCHAs can serve several important purposes:
There are many different kinds of CAPTCHA tests. They can be text-based, image-based, or audio-based. Some CAPTCHAs are interactive puzzles or simple math problems.
Google’s reCAPTCHA is the most common form of CAPTCHA, as it helps to protect websites from bot traffic without inconveniencing the user. You will probably be familiar with reCAPTCHA’s image-based challenges and checkbox verification.
The most common form of text-based CAPTCHA requires you to decipher and input text from a distorted image. For example, there may be twisted letters and numbers that are hard for bots to read, but recognizable to humans.
Some text-based CAPTCHAs ask common knowledge questions that bots typically lack (for example, “What color is the sky?”) and require a correct text-based response.
Image-based CAPTCHAs require you to solve a puzzle based on an image. Typically there will be a prompt, for example, “Select all images with traffic lights”. This includes reCAPTCHA’s image-based puzzles.
Audio CAPTCHAs provide an audio clip of spoken words or numbers that you must transcribe. This type is especially useful for people who are visually impaired, offering an alternative to text or image-based CAPTCHAs.
Math-based CAPTCHAs ask you to solve a simple math problem, such as “What is 3 + 4?” Sometimes these CAPTCHAs will use the same distortion strategy as text-based CAPTCHAs so bots can’t read the question. These problems are easy for humans to solve but can block basic bots.
Puzzle CAPTCHAs require you to complete a task such as dragging and dropping pieces to form a complete image. This type of CAPTCHA relies on human cognitive skills and interaction, making it difficult for bots to solve. For example, these CAPTCHAs can analyze how precise your solution is, and how quickly you solved the problem, and compare it to predictable bot behavior.
Honeypot CAPTCHAs include hidden fields within forms that humans cannot see, so they do not fill out. Bots often fill in all fields, including the ones that are invisible to humans, triggering the CAPTCHA mechanism.
Logical CAPTCHAs present logic-based questions or riddles that require human-level reasoning abilities. For example, “If you have two apples and take away one, how many do you have?” These questions are designed to be simple for humans but challenging for bots.
CAPTCHAs leverage differences between humans and machines. Humans are good at pattern recognition, visual perception, and language understanding, while machines can struggle with these tasks.
All CAPTCHAs follow a similar process:
In reality, modern anti-bot solutions (including CAPTCHA and other techniques), don’t rely solely on simple challenge-response processes. Instead, they collect and analyze a number of data points from your interaction with the website, which they use to build a profile about you and score the likelihood of you being a bot or a human.
The factors anti-bot solutions analyze include:
This means that sophisticated anti-bot solutions can immediately detect and block bots based on these factors, before they even present a CAPTCHA challenge. For example, a bot could be blocked outright if it has a known malicious IP address, or unusual TCP fingerprinting. In this case, the bot won’t have the chance to attempt to solve a CAPTCHA.
A risk assessment algorithm decides whether to present you with a CAPTCHA or not. The algorithm can consider multiple factors, including:
Although CAPTCHAs are a common tool for websites to use to prevent automated traffic, they are not the only option. Some websites use other anti-bot solutions to provide broader bot management and protection mechanisms, such as:
Yes, you can bypass CAPTCHAs, but the difficulty and methods vary depending on the type of CAPTCHA and its complexity. As CAPTCHA technology evolves, so do the techniques for bypassing it.
Sophisticated bots can sometimes solve CAPTCHAs using machine learning, image recognition, and other techniques. They can be trained on massive datasets of solved CAPTCHAs and learn to identify patterns.
CAPTCHA use is shifting towards more seamless and user-friendly solutions, as illustrated by the introduction of Private Access Tokens (PATs). PATS are cryptographic tokens that act as proof of legitimacy for your device, rather than your IP. Trusted parties (like Apple, Google, or Cloudflare) can issue cryptographic tokens to your device when it meets specific criteria – like not exhibiting bot-like behavior. The websites you visit can then verify the token with the issuer without collecting any personal information from you, or presenting you with a CAPTCHA.
PATs are a relatively new technology; Apple officially introduced them in June 2022 at the Worldwide Developers Conference (WWDC). However, major companies like Apple, Google, and Cloudflare are actively supporting and promoting the use of PATs, and as more websites implement them, we can expect PATs to become a more common way of verifying human activity.
SOAX proxies mask the origin of your requests and distribute them across multiple IP addresses, so that websites find it more difficult to detect your automated traffic. Our Web Unblocker takes things a step further by automatically retrying failed requests and managing cookies and headers to avoid triggering CAPTCHA challenges.
Many businesses rely on bypassing CAPTCHAs so they can quickly and reliably scrape public data from the web to help inform their decisions. You can access SOAX’s purpose-built scraping APIs for ecommerce, social media, and SERP data, or sign up to try our new self-building AI Scraper that uses machine learning to solve all kinds of CAPTCHAs.
We use several sophisticated techniques to avoid detection and ensure successful data extraction, including:
CAPTCHA stands for “Completely Automated Public Turing test to tell Computers and Humans Apart.”
While image-based CAPTCHAs are common, reCAPTCHA, specifically reCAPTCHA v2 and v3, developed by Google, is arguably the most widely used CAPTCHA system across the internet.
Generally, CAPTCHA is safe to use as it's designed to protect websites and the people that use them. However, some CAPTCHAs track your behavior, raising privacy concerns.
A Cloudflare challenge is another anti-bot security measure used to verify web traffic. Like CAPTCHAs, these challenges help websites distinguish between human users and automated bots. They include various methods, such as managed challenges, JavaScript challenges, and interactive challenges.
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