Bypass Captcha using Python and Tesseract OCR engine

A CAPTCHA is a type of challenge-response test used in computing as an attempt to ensure that the response is generated by a person. The process usually involves one computer (a server) asking a user to complete a simple test which the computer is able to generate and grade.The term "CAPTCHA" was coined in 2000 by Luis von Ahn, Manuel Blum, Nicholas J. Hopper, and John Langford (all of Carnegie Mellon University). It is an acronym based on the word "capture" and standing for "Completely Automated Public Turing test to tell Computers and Humans Apart".

In this post I am going to tell you guys how to crack weak captcha s using python and Tesseract OCR engine.Few days back I was playing around with an web application.The application was using a captcha as an anti automation technique when taking users feedback.

First let me give you guys a brief idea about how the captcha was working in that web application.
Inspecting the captcha image I have found that the form loads the captcha image in this way:
<img src="http://www.site.com/captcha.php"> 
From this you can easily understand that the “captcha.php” file returns an image file.
If we try access the url http://www.site.com/captcha.php each and every time it generates an image with a new random digit.
To make this clearer to you, Let me give you an example
Suppose after opening the feedback form you got few text fields and a captcha.Suppose at a certain time the captcha loaded with a number for ex. "4567".
So if you use that code "4567" the form will be submitted successfully.

Now the most interesting thing was if you copy the captcha image url (which is http://www.site.com/captcha.php in this case) and open the image in new tab of same browser ,the cpatcha will load with a different number as I have told you earlier. Suppose you have got "9090" this time. Now if you try to submit the feedback form with the number that’s was loaded earlier with the feedback form( which was "4567" )the application will not accept that form. If you enter “9090” then the application will accept that form.
For more clear idea I have created this simple Fig.


Now my strategy to bypass this anti automation techniques was
1)Download the image only from 
http://www.site.com/captcha.php 
2)Feed that image to OCR Engine
3)Craft an http POST request with all required parameter and the decoded captcha code, and POST it.

Now what is happening here??

When you are requesting the image file, the server will do steps 1 to 5 as shown in figure.
Now when we are posting the http request, the server will match the received captcha code with the value that was temporarily stored. Now the code will definitely match and server will accept the form.

Now I have used this Python Script to automated this entire process.


from PIL import Image
import ImageEnhance
from pytesser import *
from urllib import urlretrieve
 
def get(link):
    urlretrieve(link,'temp.png')
 
get('http://www.site.com/captcha.php');
im = Image.open("temp.png")
nx, ny = im.size
im2 = im.resize((int(nx*5), int(ny*5)), Image.BICUBIC)
im2.save("temp2.png")
enh = ImageEnhance.Contrast(im)
enh.enhance(1.3).show("30% more contrast")
 
imgx = Image.open('temp2.png')
imgx = imgx.convert("RGBA")
pix = imgx.load()
for y in xrange(imgx.size[1]):
    for x in xrange(imgx.size[0]):
        if pix[x, y] != (0, 0, 0, 255):
            pix[x, y] = (255, 255, 255, 255)
imgx.save("bw.gif", "GIF")
original = Image.open('bw.gif')
bg = original.resize((116, 56), Image.NEAREST)
ext = ".tif"
bg.save("input-NEAREST" + ext)
image = Image.open('input-NEAREST.tif')
print image_to_string(image)

Here I am only posting code of OCR engine. If your are a python lover like me you can use "httplib" python module to do the rest part.This script is not idependent. pytesser python module is requred to run this script.PyTesser is an Optical Character Recognition module for Python. It takes as input an image or image file and outputs a string.
PyTesser uses the Tesseract OCR engine, converting images to an accepted format and calling the Tesseract executable as an external script.

You can get this package @ http://code.google.com/p/pytesser/

The script works in this way.
1)First the script will download the captcha image using python module "urlretrive"
After that It will try to clean backgroug noises.

2)When this is done the script will make the image beigger to better understading.
3)At last it will feed that processed image to OCR engine.
Here is another python script which is very useful while testing captchas.You can add these line to your script if the taget captcha image is too small.This python script can help you to change resolution of any image.


from PIL import Image
import ImageEnhance

im = Image.open("test.png")
nx, ny = im.size
im2 = im.resize((int(nx*5), int(ny*5)), Image.BICUBIC)
im2.save("final_pic.png")
enh = ImageEnhance.Contrast(im)
enh.enhance(1.3).show("30% more contrast")

Thanks for reading.I hope It was helpful.Feel free to share and drop comments.

Comments

  1. Really nice! I was looking for that!

    I will surely test it out!

    ReplyDelete
  2. Nice work mate! Trying out the same this weekend!

    ReplyDelete
  3. Great research and nice way to tell

    ReplyDelete
  4. could you give examples for capchas below?

    ReplyDelete
    Replies
    1. I have tested this with very easy one! similar to this one

      https://lh4.ggpht.com/ZAAXYW2mlL0L0Ys7bbBSMyCGJwcUL1urk59a9Dy3fchDb__W-igiIW4ua-Y2bSbuyNfuag=s71

      and it was almost 100% accurate!

      Delete
    2. i try it do to for this, 0% ))
      https://dl.dropbox.com/u/59666091/1.png
      https://dl.dropbox.com/u/59666091/2.png

      Delete
    3. Maybe you can help me with doint symbols more in line (not changing in sinus) and also do something with background? Thank you. Will wait for you answer.

      Delete
  5. with
    https://lh4.ggpht.com/ZAAXYW2mlL0L0Ys7bbBSMyCGJwcUL1urk59a9Dy3fchDb__W-igiIW4ua-Y2bSbuyNfuag=s71
    it gives me result = I bra

    ReplyDelete
  6. Ӏ've read some excellent stuff here. Certainly price bookmarking for revisiting. I wonder how much effort you put to create such a wonderful informative website.
    Also see my web site > Facebook Captcha

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  7. If somebody needs only digits recognition in pytesser then feel free to see my sollution http://ppiotrow.blogspot.com/2013/01/pytesser-only-digits-recognition.html

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  9. Hey!

    I used your results in order to break (not very eficient) hard CAPTCHAS (Source #2):

    http://bokobok.fr/bypassing-a-captcha-with-python/

    ReplyDelete
  10. OK I WILL TRY......

    ReplyDelete
  11. Hello Everyone,

    I tried your code but it is not able to recognize such captcha:
    http://i46.tinypic.com/2mxiexv.jpg
    http://i49.tinypic.com/n53lth.jpg

    I will appreciate your answers.

    ReplyDelete
  12. Wow! its realy useful to us, its easy to follow and implement! Thank you for your exciting information,..

    Easy Captcha Solving

    ReplyDelete
  13. hurray...............this is very informative and useful.........................................thanks for sharing.............keep blogging.............

    captcha bypass services

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  14. Hi Mandal,
    first I have to note that I'm new to Python. I tried your code, and had to do a few modifications to make it work with particular Captcha I'm using. I can post the code, 'cause my personal opinion that works much better. The problem I have is making the part with httplib. Once I've decoded the Captcha, I cannot find the way tricking it that it came from the original source (I'm using it to log in to a website that has 10 min inactivity logout policy, while log in has a lot of queries that need to be manually typed).
    Anyway, your code was very helpful, and a great startup point.
    Thanks,
    M.Zinovic

    ReplyDelete
  15. Hi,
    the captcha that i am trying to break is http://www.afreesms.com/image.php
    it's an easy 7 letter code. always the same type of letter, color, size. MY problem is: I am a noob. I don't know what i must do in order to get this working. If someone could hel, that would be great.

    thanks

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  82. Involving Python related to the Tesseract OCR motor to move past Manual human test limitations uncovers a strong method for mechanizing processes that are muddled by human check obstructions. By using Tesseract's complex optical person acknowledgment highlights, software engineers can make scripts that effectively decipher and move past Manual human test troubles. This inventive technique improves on processes as well as features how smart Python is as a multipurpose programming language. With this coordination, clients may now precisely and proficiently robotize tedious tasks, introducing another period of efficiency in the advanced space. The blend of Tesseract OCR and Python stretches the boundaries of computerization and offers further developed viability and proficiency in a scope of utilizations. charlottesville visitation lawyer

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  83. The Tesseract OCR engine combined with Python offers a dependable way to get around CAPTCHA problems. The open-source OCR engine Tesseract is perfect for deciphering CAPTCHAs since it is very good at identifying text inside images. Python's image processing and automation features can be integrated to enable developers to write effective programs that automate CAPTCHA solutions. Using Tesseract with Python greatly streamlines the process, albeit the efficiency may vary based on the intricacy of the CAPTCHA. All things considered, utilizing Tesseract in conjunction with Python presents a workable solution for getting over CAPTCHA difficulties, expediting repeated human input jobs, and improving process automation.
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  84. Charged with a DUI in Dinwiddie, VA? Our experienced dui lawyer dinwiddie va are here to help. We'll review your case, explore defenses, and advocate for your rights in court. Don't face DUI charges alone—contact us for strategic legal representation.

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  85. "Bypass Captcha using Python and Tesseract OCR engine" offers a comprehensive guide to automating the process of solving Captcha challenges using Python programming language and the Tesseract OCR engine. This tutorial provides step-by-step instructions and code samples to help developers implement an effective solution for bypassing Captcha verification in their applications. By leveraging Tesseract's optical character recognition capabilities, developers can automate the extraction of text from Captcha images, streamlining user authentication processes. This resource is invaluable for developers seeking to enhance user experience and streamline workflows by overcoming Captcha challenges programmatically.virginia beach uncontested divorce manual

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  86. "The Python script for bypassing Captcha using Tesseract OCR engine offers a promising solution to a common online hurdle. With its straightforward implementation and reliance on open-source tools, it provides a cost-effective alternative to traditional Captcha-solving services. By harnessing the power of Tesseract's optical character recognition capabilities, this script demonstrates the potential for automation in simplifying user interactions. While effectiveness may vary depending on Captcha complexity, this approach serves as a valuable starting point for developers seeking to streamline processes and enhance user experience. Overall, a commendable effort in tackling a ubiquitous challenge in web development." abogado de divorcio de nueva jersey

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  88. Bypassing CAPTCHA systems is against ethical guidelines and often illegal, as it undermines website security measures against automated attacks. CAPTCHA is designed to ensure human-led actions on websites, not bots. To interact with websites with CAPTCHA challenges, consider using CAPTCHA Solving Services, Machine Learning and OCR, or Manual Intervention. These approaches involve developing machine learning models and Optical Character Recognition techniques to solve CAPTCHAs, but success rates may vary depending on the type and complexity of the CAPTCHA. Ethical considerations include respecting website terms of service and legal guidelines, avoiding bypassing CAPTCHAs for malicious or unauthorized activities, and obtaining explicit permission from website owners before attempting to interact with their systems in an automated manner. If automating interactions with websites for testing or legitimate purposes, it is crucial to respect security measures, including CAPTCHA challenges. If you have specific needs related to web automation or testing, consider discussing alternative approaches with website owners or seeking professional advice on ethical web scraping practices.solicitation of a minor

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  89. Bypassing CAPTCHAs using Python is a complex and potentially unethical process that undermines security and violates terms of service. To solve CAPTCHAs for legitimate purposes, such as accessibility or research, there are ethical and legal methods that usually involve CAPTCHA-solving services or advanced AI techniques with proper permissions. Ethical approaches include using CAPTCHA-solving services like 2Captcha, DeathByCaptcha, and Anti-Captcha, which provide APIs for sending CAPTCHA images or tokens and returning the solved CAPTCHA. Python libraries like `requests` can be used to interact with these services. Optical Character Recognition (OCR) is another method that can be used to extract text from images, including some simple CAPTCHAs. Tesseract OCR is an open-source OCR engine that can be used to extract text from images, including some simple CAPTCHAs. Advanced AI approaches involve using machine learning models trained to recognize CAPTCHA patterns, which requires significant resources and is generally discouraged unless done for educational or research purposes with proper consent. It is important to ensure compliance with legal regulations and ethical guidelines, respecting a website's terms of service, and using CAPTCHA-solving services that comply with legal and ethical standards. For legitimate purposes like accessibility, contact the website owner or use CAPTCHA-solving services that comply with legal and ethical standards. In conclusion, CAPTCHAs are an important security measure on the internet, and bypassing them is generally not recommended. If you have a legitimate need to bypass CAPTCHAs, consider contacting the website's support team for assistance or using authorized services.dui in virginia

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  90. Because of Captcha's security measures, it can be difficult to bypass using Python and the Tesseract OCR engine. Despite its strength, Tesseract OCR can have trouble with intricate Captcha patterns, necessitating sophisticated preprocessing and training. It works well for less complex Captchas but might not consistently get around more complex ones. All things considered, it provides a reasonable, open-source option for handling simple Captcha in automated activities.General law encompasses rules and regulations established by governments to maintain order, protect rights, and ensure justice. It includes civil, criminal, and administrative law, governing areas like contracts, property, and personal conduct. Law serves to resolve disputes, penalize unlawful actions, and provide a framework for societal functioning, ensuring fairness and security within the community.
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  91. Bypassing CAPTCHA systems is generally considered unethical and against the terms of service of most websites. CAPTCHAs are designed to prevent automated systems from performing actions that should be done by humans, such as creating accounts, sending messages, or making purchases. To interact with a website that uses CAPTCHA, consider using CAPTCHA Solving Services, which use human workers to solve CAPTCHAs for a fee and provide APIs for integration into your application. Implementing manual CAPTCHA Solving ensures compliance with the website's terms of service and respects the intention behind CAPTCHA systems. If you have a legitimate reason for bypassing CAPTCHA, contact the website owners to discuss alternative solutions or accommodations. Consider alternative APIs that allow controlled access to services without requiring CAPTCHA verification. Remember, bypassing CAPTCHA systems without permission can lead to legal consequences and damage your reputation.bankruptcies near me

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  92. Bypassing CAPTCHA is generally against the terms of service of websites and services that use CAPTCHA to prevent automated access. CAPTCHA exists to ensure human-computer interaction on websites, not automated scripts or bots. To handle CAPTCHA responsibly, developers should follow ethical guidelines and obtain permission from the website owner. Common approaches include using CAPTCHA solving services, such as Anti-Captcha, 2Captcha, and Death by CAPTCHA, which use a combination of human workers and OCR technology. Some libraries and APIs attempt to automate CAPTCHA solving using machine learning algorithms, image processing techniques, and OCR. Python libraries like `pytesseract`, `selenium`, and `captcha_solver` can be used, but their effectiveness may vary depending on the CAPTCHA type and complexity. In cases where automation is not feasible or ethical, some applications may prompt users to manually solve CAPTCHAs. Ethical considerations include obtaining explicit permission from the website owner, ensuring legal compliance, and respecting user privacy and security. In conclusion, while there are technical methods to attempt to bypass CAPTCHA using Python and other technologies, it is crucial to approach this with caution, respect for legal and ethical considerations, and with permission from relevant parties. Prioritizing ethical practices and compliance with terms of service when interacting with websites protected by CAPTCHA is essential.sex crimes lawyer loudoun

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