Captcha Price

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reCAPTCHA Enterprise pricing - Google Cloud

reCAPTCHA Enterprise pricing – Google Cloud

Pricing | reCAPTCHA Enterprise | Google Cloud
This document explains reCAPTCHA Enterprise pricing details.
If you pay in a currency other than USD, the prices listed in your currency on
Cloud Platform SKUs apply.
Pricing overview
You are charged on a monthly basis for each call you make to
create an assessment.
Pricing table
This table provides pricing for each feature per 1, 000 calls. These prices are
based on your monthly usage, determined at the end of each month. Your bill will
display charges for each call.
Price per 1, 000 calls, by monthly usage
API
1 to 1, 000, 000 calls per month
1, 000, 001 to 10, 000, 000 calls per month
More than 10, 000, 000 calls per month
Free
$1 per 1, 000 calls
Contact your Cloud Sales Team
siteverify
(for migrated site keys)
Google Cloud costs
You might be charged for other Google Cloud resources used in your
project, like Compute Engine instances, Cloud Storage, and other resource. For
complete information, use the
Google Cloud Platform Pricing Calculator to estimate those
separate costs based on current rates.
What’s next?
Read the reCAPTCHA Enterprise documentation.
Get started with reCAPTCHA Enterprise.
Try the Pricing calculator.
[{
“type”: “thumb-down”,
“id”: “hardToUnderstand”,
“label”:”Hard to understand”}, {
“id”: “incorrectInformationOrSampleCode”,
“label”:”Incorrect information or sample code”}, {
“id”: “missingTheInformationSamplesINeed”,
“label”:”Missing the information/samples I need”}, {
“id”: “otherDown”,
“label”:”Other”}]
“type”: “thumb-up”,
“id”: “easyToUnderstand”,
“label”:”Easy to understand”}, {
“id”: “solvedMyProblem”,
“label”:”Solved my problem”}, {
“id”: “otherUp”,
“label”:”Other”}]
I Was a Human CAPTCHA Solver | F5 Labs

I Was a Human CAPTCHA Solver | F5 Labs

In our recent 2021 Credential Stuffing Report, we talked about the prevalence of credential stuffing attacks and the bot technology that attackers use. In my past life as a law enforcement and intelligence officer, I was often surprised by the innovation and maturity of the “businesses” and services that cybercrime entrepreneurs develop. As head of the Shape Intelligence Center, I continue to watch our adversaries evolve, and I like to see for myself how common tools and services used against our customers operate, when I can. One key service that cybercriminals use is CAPTCHA bypass. This is what I found when I went to work for a CAPTCHA-solving click farm.
What are CAPTCHAs?
Before diving into the details, let’s take a moment to review what CAPTCHAs are and how they work. CAPTCHA is a backronym for Completely Automated Public Turing test to tell Computers and Humans Apart. CAPTCHAs were first implemented in the late 1990s1 as a rudimentary reverse Turing test to help websites filter out growing volumes of problematic bot traffic. CAPTCHAs come in many forms including those shown in Figures 1 and 2.
Figure 1. An example of a traditional CAPTCHA.
Figure 2. A reCAPTCHA presents an “I’m not a robot” checkbox to the user. A challenge like the one on the upper right is triggered if Google reCAPTCHA thinks the user might be a bot.
CAPTCHA Solvers
CAPTCHAs provided a good defense against automated attacks when they were first introduced nearly two decades ago, presenting an obstacle that the early generations of bots couldn’t easily overcome. However, as bots evolved and started solving CAPTCHAs, the CAPTCHAs started to get even more complex and difficult for humans to solve, such as the CAPTCHA shown in Figure 3.
Figure 3. An actual but unsolvable CAPTCHA.
In 2013, Google researchers used Google’s deep convolutional neural network to solve the “hardest category of reCAPTCHA” and obtained 99. 8% accuracy. Over the last 20 years, my success rate has hovered around 50-70% so now I become increasingly annoyed every time I encounter any form of CAPTCHA. Today, we’re at a point where bots solve CAPTCHAs more quickly and easily than most humans. The bots are not, however, using deep convolutional neural networks as Google did. They’re using third-party CAPTCHA solving services and applications instead, a few of which are highlighted in Figure 4.
Figure 4. A simple Google search turns up dozens of CAPTCHA solver services and apps.
While the variety of alternative ways to bypass CAPTCHA faster and more efficiently has grown in recent years, the original human click farm solution remains most accessible and popular. Aside from those who develop and run these services in the background, a human CAPTCHA solving service basically revolves around the human workers solving CAPTCHAs and the “customers” who purchase their output to keep their automation running on CAPTCHA-protected sites. To see firsthand how both sides of this business work, I signed up as both a solver and a customer with the Russian CAPTCHA solving company, 2Captcha.
The Mechanics of Using Solvers
So how does this process actually work? The steps below outline how an automated attack can leverage this human labor when required. In most cases, a diligent attacker will conduct reconnaissance on a target site ahead of time, during which CAPTCHA would be identified as a requirement. Once an account is created and set up (in this case, with 2Captcha), the general process is illustrated in Figure 5.
An attacker using a bot connects to a website that presents a CAPTCHA challenge.
The bot captures an image of the CAPTCHA and sends it to 2Captcha via 2Captcha’s API.
2Captcha sends the image to one or more humans to solve.
2Captcha sends the solved CAPTCHA back to the bot via the API.
The bot submits the correctly solved CAPTCHA to the website.
The website incorrectly categorizes the bot as human and allows it to proceed.
Figure 5. How CAPTCHA solver services use human labor to solve traditional CAPTCHAs.
For reCAPTCHAs that present an “I’m not a robot” checkbox on the target website (see animation in Figure 6), the process for circumventing the CAPTCHA is slightly different.
The bad actor’s bot uses 2Captcha’s API to instruct one of the human workers to visit the target website and manually check the “I’m not a robot” checkbox themselves to solve the CAPTCHA.
The human solver gets a token for the solved CAPTCHA (because they are human).
2Captcha passes the token to the bad actor’s bot via the API.
The bad actor’s bot submits the valid token to the target website.
All these steps can be done through a proxy, so the process is completely transparent to the website.
Figure 6. How CAPTCHA solver services use human labor to solve ReCAPTCHAs.
As Figures 5 and 6 illustrate, CAPTCHA solver services have made it possible for attackers to completely circumvent CAPTCHAs, including Google’s latest version called CAPTCHA Enterprise (not shown here).
The Business of Human CAPTCHA Solvers
In many respects, CAPTCHA solver services operate like any legitimate enterprise, and they are clearly in business to make a profit. While the fees they charge “customers” (attackers) might be considered reasonable, the business model is weighted heavily against CAPTCHA solvers. And with relatively low overhead, the profit margin is attractive.
Isn’t this illegal? Not really. Solving a CAPTCHA isn’t the same as hacking a server or taking over an account. It may be a violation of a site’s terms of service, and it may enable a criminal act (e. g., credential stuffing), but the user of the service is the perpetrator, while the service itself can claim ignorance of its customers’ intentions. Even so, many of these companies are located overseas; 2Captcha, for example, is hosted in Russia.
How Much Does the Service Cost?
2Captcha charges customers different rates depending on the type of solved CAPTCHAs they want to purchase. Traditional CAPTCHAs cost customers $0. 75 per 1, 000. In comparison, solved reCAPTCHAs cost customers $2. 99 per 1, 000—almost four times as much as traditional CAPTCHAs (see Figure 7).
Figure 7. “Customers” (attackers) pay almost 4 times as much for solved reCAPTCHAs as traditional CAPTCHAs.
Notice the additional stats shown in Figure 7: solving speed, service load, and workers online. This is valuable data for the customers paying these rates and making purchasing decisions, and it is updated in near real time.
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I Became a Human CAPTCHA Solver
Getting started as human CAPTCHA solver is one of the easiest things I’ve ever done. I set up an account as a solver (and a customer) simply by providing an email alias. The website has a very user-friendly, intuitive interface with step-by-step instructions, tutorials, and tips for solving CAPTCHAs. After exploring the site a bit, I began the training.
My Training as a Solver
Figure 8 shows an example of the training for solving traditional CAPTCHAs. Sample CAPTCHAs are shown on the left, the correct answers in the middle, and descriptions on the right. It’s evident that the support pages are not written by a native English speaker, but the instructions and execution were simple enough and I quickly improved my solve rates and speed. What’s also interesting is what is written at the top of Figure 8. It appears 2Captcha recruits human CAPTCHA solvers by claiming that solving CAPTCHAs is “helping them to quickly introduce and teach English. ” It’s not exactly clear what that means, but it appears to claim that solving CAPTCHAs all day long will help a non-English speaker learn English.
Figure 8. Detailed training for solvers provides examples and tips for solving traditional CAPTCHAs.
Figure 9 shows a similar example of the training for reCAPTCHA. Again, the instructions are a bit cryptic, but plenty of examples are provided for workers to become proficient.
Figure 9. Detailed training for solvers provides examples and tips for solving reCAPTCHAs.
The Work of CAPTCHA Solving
The actual work of solving CAPTCHAs is pretty tedious, as you might expect. In Figure 10, I’m solving a traditional CAPTCHA. Notice in this session, I had solved 22 CAPTCHAs and had earned only $US 0. 00665.
Figure 10. While solving a traditional CAPTCHA, the screen displays my current earnings and the number of CAPTCHAs solved.
As soon as I press Enter for this CAPTCHA, another CAPTCHA appears for me to solve, shown in Figure 11. Now I’ve solved 23 CAPTCHAs in this session, and I’ve earned $US 0. 00695.
Figure 11. My earnings for solving one additional CAPTCHA have increased by only $US 0. 00030.
As workers solve more CAPTCHAs and become more proficient, they receive tiny incremental pay raises. “Proficient” here is a reflection of shorter lag time between keystrokes; pay rate is not based solely on the total number of CAPTCHAs solved. Workers who are too slow or provide too many incorrect answers run the risk of being booted out of the system—even a shady clientele expects reliable service.
Getting Paid as a Solver
2Captcha’s going rate for solvers (as of April 2021) was $US 0. 30 per 1, 000 traditional CAPTCHAs and $US 1. 01 for 1, 000 Re-CAPTCHAs (see Figure 12). At these rates, solvers working 11 hours a day non-stop—which is entirely unrealistic—would make only $1. 20/day for traditional CAPTCHAs. For reCAPTCHAs, which take roughly twice as long to solve, solvers would still make only $2. 02 working an 11-hour day.
Figure 12. Workers solving CAPTCHAs make a small fraction (4% for traditional; 3. 4% for reCAPTCHAs) of what 2Captcha charges its customers.
Solvers have a wide range of choices for receiving payment from 2Captcha (see Figure 13). Notice the minimum withdrawal amounts vary by payment service.
Figure 13. CAPTCHA solvers can receive payment through a variety of online payment service.
2Captcha Doesn’t Skimp on Support
Perhaps surprisingly, shady services of many kinds are often known for providing excellent customer support. 2Captcha is no exception. In addition to the user-friendly interface and the abundance of training materials, 2Captcha provides extensive support pages and FAQs (see Figure 14) for both workers and customers. Some solver companies even provide telephone support.
Figure 14. Example of 2Captcha’s FAQ page for workers. A similar page is available for “customers. ”
2Captcha customers get their own set of instructions and FAQ pages. The example shown in Figure 15 provides a detailed description of Google’s most recent version of CAPTCHA, reCAPTCHA Enterprise, and instructions for how to use 2captcha to beat it.
Figure 15. A support page with detailed description of Google’s latest version of CAPTCHA, reCAPTCHA Enterprise
Conclusion
So, that is what the job of a CAPTCHA solver is like—and sadly, it’s a real source of income for many people around the world. Solver services like this one are convenient and widely used by attackers. As a result, CAPTCHAs are only a speed bump for motivated attackers while introducing considerable friction for legitimate customers. Despite this, many companies still rely on them, and some subject their customers to a CAPTCHA for every significant interaction. Cybercriminals and the parallel economies which cater to them are always innovating and evolving past defenses, and versions of CAPTCHA have been with us now for nearly two decades, frustrating legitimate users without providing meaningful barriers to the bots that have adapted to overcome them.
Luis Von Ahn: Creator of Duolingo, ReCAPTCHA - Business Insider

Luis Von Ahn: Creator of Duolingo, ReCAPTCHA – Business Insider

Luis von Ahn, creator of Duolingo and a professor of computer science at Carnegie Mellon University.
Courtesy of Duolingo
When he was 12 years old, Luis von Ahn came up with a plan to make gyms exercising on machines can generate electricity, he figured, and that energy is valuable. So why not eliminate gym fees, hook all the machines to a power grid, and sell the wattage produced to a major electric company? Everyone could go free of charge, the world would have a new source of power, and people would be healthier to boot.
“It turns out it’s not a very good idea, ” von Ahn, now 34, chuckles. “People aren’t very good at generating electricity. It’s much better to charge a membership fee. “While that idea didn’t pan out, the computer science professor at Carnegie Mellon University has been dreaming up innovative business models ever since. And he’s done it well. Over the past eight years, von Ahn has created and sold two projects to Google. His new venture, free language-learning app Duolingo, is a perpetual favorite in the Android and iOS app stores and has already accrued more than 12 million users. In 2006, he was awarded the prestigious MacArthur Fellowship, or so-called “genius” there is true genius to be found in von Ahn’s work, it lies in the theory that underscores all of his projects: the idea that by using technology and a little bit of fun, you can harness tiny bits of time and energy from people all around the world and make them collectively useful. In what might be the cleverest application of crowdfunding principles yet, von Ahn is turning our mindless Internet activities into something productive.
Von Ahn’s entrepreneurial ventures began in earnest in 2004 with an idea he had for a new kind of online game. The program would randomly pair each player with another user on the Web, and show them a series of images. Both players were instructed simply to “type whatever the other guy is typing. ” The more overlap you produced, the better your score was. So, for example, if a picture of a dog appeared, both users would probably type “dog” along with other words like “animal, ” “pet, ” “puppy, ” or “cute. ” It’s the kind of time-killer that most of us love: a perfect medley of fun images, competitive quizzing, and mindlessness. But for von Ahn, it would have a second use. “When people play the game they help determine the contents of images by providing meaningful labels for them, ” he and his co-author wrote in a 2004 paper. “If the game is played as much as popular online games, we estimate that most images on the Web can be labeled in a few months. ”
Take a moment to consider that proposition. A tremendous number of unlabeled images are floating around on the Web, which impairs everything from the accuracy of image searching to the blocking of inappropriate content. Tech companies have created an entire job category for people who review content and flag it for various graphic violations. Von Ahn was proposing that much of this could be outsourced to your everyday person, if only it were made a little program launched in 2005 as The ESP Game. Within four months it had lured 13, 000 bored Web cruisers into producing 1. 3 million labels for roughly 300, 000 images, Wired reported in 2007. Von Ahn’s demo of the game at Google caught the eye of both Sergey Brin and Larry Page, and just months later it had been acquired and relaunched as the Google Image Ahn’s next venture, reCAPTCHA, also managed to utilize the work of unsuspecting Web users. In the early years of his Ph. D. study, von Ahn had helped his advisor, CMU computer science professor Manuel Blum, develop a handy identity verification device known as a CAPTCHA. Think of those distorted words you’re asked to translate after attempting to log into your email too many times to verify that you’re human. Those are CAPTCHAs. Initially invented to help keep spambots out of chat rooms, these tests are effective because computers have a difficult time reading distorted text, while people are rather good at Ahn watched the work on CAPTCHA and decided it had potential beyond distinguishing humans from robots — the extra 10 seconds people were taking to access their email and other accounts could be put to use. In 2006, von Ahn launched reCAPTCHA. Unlike its predecessor, reCAPTCHA challenged users with two distorted words to decode, and looks something like this:
Screenshot from reCAPTCHA
The brilliant twist is that this test isn’t just verifying your humanity; it’s also putting you to work on decoding a word that a computer can’t. The first word in a reCAPTCHA is an automated test generated by the system, but the second usually comes from an old book or newspaper article that a computer scanner is trying (and failing) to digitize. If the person answering the reCAPTCHA gets the first word correct (which the computer knows the answer to), then the system assumes the second word has been translated accurately as 2009, Google acquired reCAPTCHA for an undisclosed amount (von Ahn says the sum was somewhere between $10 million and $100 million) and put the program to work on a tremendous scale, digitizing material for Google Books and the New York Times archives. In 2012, it was translating about 150 million distorted words a day. “The CAPTCHA was really my idea, ” says Blum. “Getting humans involved and getting them to help do this stuff was Luis’s idea. He was the one that pointed out, ‘Look how many hours have gone into building the Panama Canal or the Pyramids — and with all the people that are on the Web now, you can get a lot more hours. ‘”The latest incarnation of this theory is Duolingo, von Ahn’s popular language-learning game. The free service offers lessons in Spanish, French, Italian, German, and Portuguese, and uses a computer-game structure with level-ups, un-lockable bonus skills, and a virtual currency to intrigue users. It’s classic gamification.
“When you talk to people using Duolingo, they usually say ‘I’m playing Duolingo, ‘” von Ahn notes. “If you ask people the main reason they’re using Duolingo, it’s not because they’re learning something but because it’s fun. ”
The app’s 12. 5 million active users spend, on average, 30 minutes a day with Duolingo, but it’s also designed for people to pull out for two or three minutes as a time-killer while waiting in line at the grocery. Von Ahn says his research shows that spending 34 hours on Duolingo teaches the equivalent of one semester of a college language course. Eighty percent of traffic to the app comes from mobile. A quarter of Duolingo’s users are from the U. S., but another 35% are from Latin America and Brazil, and 30% are from Europe. This is important to von Ahn, who grew up in an upper-middle class family in Guatemala City before heading to the U. S. for college, and saw firsthand how his fellow citizens struggled to climb the socioeconomic ladder. “Guatemala is a very poor country, ” von Ahn says. “Everybody in Guatemala seems to want to learn English, but no one can afford to. “To that end, von Ahn has sworn to keep Duolingo entirely free for users. And using the same logic that built The ESP Game and reCAPTCHA, he’s come up with a clever alternative for monetizing the product. When users sign onto Duolingo, one of the options they have for practicing their language is “immersion. ” In this section, users get a chance to apply what they’ve learned by trying their hand at translating real documents on the Web.
Where do those documents come from? CNN and Buzzfeed, for starters. The major media companies have contracted Duolingo as a translation service for their materials. Even with novice users, the translations are fairly accurate because several people on Duolingo work on each document and then up/down vote other translations before the final version is sent back to the media outlets. For the users, it’s another language-learning tool; for Duolingo, it’s a way of generating hundreds of thousands of with all von Ahn’s projects, the trick in Duolingo comes down to shrewdly harnessing the time people happily spend on one project to do something useful in another. One invention after another, he is satisfying our desire for mindless fun while making society as a whole more efficient. “It’s just taking something that people do anyways, ” von Ahn says, “and trying to extract value out of it. ”

Frequently Asked Questions about captcha price

How much does CAPTCHA cost?

How Much Does the Service Cost? 2Captcha charges customers different rates depending on the type of solved CAPTCHAs they want to purchase. Traditional CAPTCHAs cost customers $0.75 per 1,000.May 14, 2021

How much did Google pay for CAPTCHA?

In 2009, Google acquired reCAPTCHA for an undisclosed amount (von Ahn says the sum was somewhere between $10 million and $100 million) and put the program to work on a tremendous scale, digitizing material for Google Books and the New York Times archives.Mar 13, 2014

What is death by CAPTCHA?

Death by Captcha Offers: A hybrid system composed of the most advanced OCR system on the market, along with a 24/7 team of CAPTCHA solvers. An average response time of 17 seconds, with an average accuracy rate of 90% or more. And you always pay for correctly solved CAPTCHA only!Jun 28, 2012

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