Mostafa-Ehab / Deep-CAPTCHA

This project aims at predicting and solving alphanumeric CAPTCHAs, using Convolutional Neural Network to detect the vulnerability of the CAPTCHAs against hacking operations by bots which try to imitate a human operator.

Deep-CAPTCHA

Solving CAPTCHAs using Convolutional Neural Network

This project aims at predicting and solving python-generated CAPTCHAs, using Convolutional Neural Network to detect the vulnerability of the CAPTCHAs. By running the program, a specific amount of CAPTCHAs will be generated in a folder which then is used as the training set of the network.

How to run?

To run the code, the following python packages are required:

• captcha
• opencv-python
• opencv-python-headless
• opencv-contrib-python-headless
• keras

Also, the following Linux packages are required:

• libsm6
• libxext6

To run the code open [Captcha_Solver_Alphanumerical.ipynb] or [Captcha_Solver_numerical.ipynb] in Jupiter notebook and then run them.

Credits

• This work is based on Deep-CAPTCHA: a deep learning based CAPTCHA solver for vulnerability assessment
• For more information please contact: [e-mail] (Zahra Nouri) or [e-mail] (Mahdi Rezaei)