Captcha Breaker

Build with Tensorflow (ConvNets) and Node.js 💪💪💪

E.x: Amazon Captcha (click image below to watch demo video)

Installation

Python packages

$ pip install -r requirements.txt

Node.js packages (Node.js user only)

$ npm i

Usage

1. Create train data

Prepare your training dataset

• Copy captcha images to data/captcha folder

|_data
      |_captcha
          |_ xss7.jpg
          |_ tvu4.jpg

IMPORTANT: Note each image file is named with it's own solution.

That means that if an image is named A1bD3.jpg, it corresponds to a captcha's whose solution is A1bD3

Build train data for model

Run src/create_train_data.py will save your train data as data/captcha.npz compressed file.

$ python src/create_train_data.py

The compressed data/captcha.npz includes:

• Train Data ( x_train, y_train ): 80%
• Test Data ( x_test, y_test ): 20%

2. Train

Run src/train.py to train the model with your own dataset.

$ python src/train.py

Take ☕️ or 🍵 while waiting!

3. Attack

Now, enjoy your war 🔥🔥🔥 😜😜😜

Python

$ python src/predict --fname YOUR_IMAGE_PATH_or_URL

Sample output:

loading image: data/captcha/captcha_2.jpg
load captcha classifier
predict for 1 char: `X` with probability: 99.956%
predict for 2 char: `I` with probability: 99.909%
predict for 3 char: `N` with probability: 99.556%
predict for 4 char: `C` with probability: 99.853%
predict for 5 char: `H` with probability: 99.949%
predict for 6 char: `A` with probability: 98.889%
Captcha: `XINCHA` with confident: `99.686%`
XINCHA

Node.js

const captchaPredict = require('src/predict')

captchaPredict(YOUR_IMAGE_PATH_or_URL)
  .then(console.log)
  .catch(console.error)

Sample output:

[
  "loading image: data/captcha/captcha_2.jpg",
  "load captcha classifier",
  "predict for 1 char: `X` with probability: 99.956%",
  "predict for 2 char: `I` with probability: 99.909%",
  "predict for 3 char: `N` with probability: 99.556%",
  "predict for 4 char: `C` with probability: 99.853%",
  "predict for 5 char: `H` with probability: 99.949%",
  "predict for 6 char: `A` with probability: 98.889%",
  "Captcha: `XINCHA` with confident: `99.686%`",
  "XINCHA"
]