├── README.md
└── old
    ├── README.md
    ├── main.py
    └── requirements.txt


/README.md:
--------------------------------------------------------------------------------
 1 | 
 2 | ```py
 3 | json_data =  {
 4 |     "requests": [{
 5 |         "image": {
 6 |             "content": "base64 encoded image"
 7 |         },
 8 |         "features": [{"type": "TEXT_DETECTION"}]
 9 |     }]
10 | }
11 | 
12 | req = requests.post(
13 |     url = 'https://content-vision.googleapis.com/v1/images:annotate',
14 |     headers = {
15 |         'x-origin': 'https://explorer.apis.google.com',
16 |     },
17 |     params = {
18 |         'alt': 'json',
19 |         'key': 'AIzaSyAa8yy0GdcGPHdtD083HiGGx_S0vMPScDM',
20 |     },
21 |     json = json_data
22 | )
23 | 
24 | print(req.json())
25 | ```
26 | 


--------------------------------------------------------------------------------
/old/README.md:
--------------------------------------------------------------------------------
  1 | <h1 align="center">
  2 |   Zefoy Captcha Solver 👻
  3 | </h1>
  4 | 
  5 | <p align="center">
  6 |   Zefoy OCR bruteforce captcha solver using cv2, PIL and pytesseract aswell as the Zefoy API
  7 | </p>
  8 | 
  9 | <p align="center"> 
 10 |   <kbd>
 11 | <img src="https://cdn.discordapp.com/attachments/956638416064376875/984798143755481118/3b459bc61bb8a51f74c0d3a80c3a7b1f1.jpg?size=4096"></img>
 12 |   </kbd>
 13 | </p>
 14 | 
 15 | <p align="center">
 16 |   <img src="https://img.shields.io/github/languages/top/xtekky/zefoy-captcha-solver?style=flat-square" </a>
 17 |   <img src="https://img.shields.io/github/last-commit/xtekky/zefoy-captcha-solver?style=flat-square" </a>
 18 |   <img src="https://img.shields.io/github/stars/xtekky/zefoy-captcha-solver?color=7F9DE0&label=Stars&style=flat-square" </a>
 19 |   <img src="https://img.shields.io/github/forks/xtekky/zefoy-captcha-solver?color=7F9DE0&label=Forks&style=flat-square" </a>
 20 | </p>
 21 | 
 22 | <h4 align="center">
 23 |   <a href="https://discord.gg/onlp">🌌・Discord</a>
 24 |   <a href="https://github.com/xtekky/zefoy-captcha-solver#changelog">📜・ChangeLog</a>
 25 | </h4>
 26 | 
 27 | <h2 align="center">
 28 |   Zefoy Captcha Solver was made by
 29 | 
 30 | Love ❌ code ✅
 31 | 
 32 | </h2>
 33 | 
 34 | ---
 35 | 
 36 | ## :fire: Features
 37 | 
 38 | ✔ Solves the zefoy captcha under 20s
 39 | 
 40 | ---
 41 | 
 42 | ## 🚀・Zefoy Captcha Solver
 43 | 
 44 | ```sh-session
 45 | > Install python and pip
 46 | > Download this repo or git-clone it
 47 | > Install the requirements with: pip install -r requirements.txt
 48 | > run main.py, you may aswell then add your code when the captcha gets solved
 49 | ```
 50 | 
 51 | ## 🤝・Contributing
 52 | 
 53 | - The solver is not accurate at all, if you wish you can optimize it and make a pull request
 54 | 
 55 | ## 🎉・Upcoming/enhancements
 56 | 
 57 | - Make it better faster
 58 | 
 59 | 
 60 | ## 💭・ChangeLog
 61 | 
 62 | ```diff
 63 | v0.0.2 ⋮ 2022-06-10
 64 | + better response when solved
 65 | 
 66 | v0.0.1 ⋮ 2022-06-10
 67 | + initial commit
 68 | ```
 69 | 
 70 | ## x・Filter Example
 71 | ```python
 72 | import os, cv2, numpy, pytesseract, PIL, re, enchant
 73 | from tkinter import W
 74 | import scipy.ndimage as ndimage
 75 | import matplotlib.pyplot as plt
 76 | 
 77 | file = cv2.imread(f"./captcha.png")
 78 | thresh, im_bw = cv2.threshold(file, 200, 260, cv2.THRESH_BINARY)
 79 | _name = f'./enhanced.png'
 80 | b = cv2.imwrite(_name, im_bw)
 81 | def bbox(im):
 82 |     a = numpy.array(im)[:,:,:3]
 83 |     m = numpy.any(a != [255, 255, 255], axis=2)
 84 |     coords = numpy.argwhere(m)
 85 |     y0, x0, y1, x1 = *numpy.min(coords, axis=0), *numpy.max(coords, axis=0)
 86 |     return (x0, y0+1, x1-1, y1-1)
 87 | 
 88 | im = PIL.Image.open(_name)
 89 | im2 = im.crop(bbox(im))
 90 | im2.save(_name)
 91 | 
 92 | 
 93 | image = PIL.Image.open(_name)
 94 | inverted_image = PIL.ImageOps.invert(image)
 95 | inverted_image.save(_name)
 96 | 
 97 | im = PIL.Image.open(_name)
 98 | im2 = im.crop(bbox(im))
 99 | im2.save(_name)
100 | 
101 | basewidth = 700
102 | img = PIL.Image.open(_name)
103 | wpercent = (basewidth/float(img.size[0]))
104 | hsize = int((float(img.size[1])*float(wpercent)))
105 | img = img.resize((basewidth,hsize), PIL.Image.ANTIALIAS)
106 | img.save(_name)
107 | 
108 | cv2.imwrite(_name, cv2.threshold(cv2.dilate(cv2.threshold(cv2.imread(_name), 115, 255, cv2.THRESH_BINARY_INV)[1], cv2.getStructuringElement(cv2.MORPH_RECT, (3,3)), iterations=1), 115, 255, cv2.THRESH_BINARY_INV)[1])
109 | 
110 | ocr = pytesseract.image_to_string(_name, lang='eng', config='--psm 6 --oem 3')
111 | captcha = str(ocr)
112 | 
113 | if captcha != "" and not None or not None:
114 |                 _captcha = re.compile('[^a-zA-Z]').sub('', captcha).lower()
115 |                 print(_captcha)
116 | ```
117 | 
118 | ## x・Comparison
119 | #### Before
120 | ![captcha](https://user-images.githubusercontent.com/98614666/173166442-dab67c1b-6b90-49e3-a3df-85d69797c68b.png)
121 | #### After
122 | ![enhanced](https://user-images.githubusercontent.com/98614666/173166447-82fd2154-e98d-41dc-ac49-0b6b1105da8a.png)
123 | 
124 | 
125 | 
126 | <p align="center">
127 |   README.md inspired from Rdimo
128 | </p>
129 | 


--------------------------------------------------------------------------------
/old/main.py:
--------------------------------------------------------------------------------
  1 | import pytesseract, cv2, requests, os, random, threading, re, sys, time, enchant, shutil, numpy
  2 | from PIL import Image
  3 | 
  4 | pytesseract.pytesseract.tesseract_cmd = r"C:/Program Files (x86)/Tesseract-OCR/tesseract.exe"
  5 | sys.setrecursionlimit(1500)
  6 | 
  7 | class Solver:
  8 |     def __init__(self):
  9 |         self.config   = '--psm 6 --oem 3'
 10 |         self.base_url = "https://zefoy.com/"
 11 |         
 12 |         self.start    = time.time()
 13 |         self.reqs     = 0
 14 |         
 15 |         threading.Thread(target=self.monitor).start()
 16 | 
 17 |         while True:
 18 |             self.solve()
 19 |             
 20 |             if threading.active_count() < 2 + 1:
 21 |                 threading.Thread(target=self.solve).start()
 22 |     
 23 |     def monitor(self):
 24 |         while True:
 25 |             os.system(f'title Captcha Solver ^| Requests ~ {self.reqs} ^| Time Elapsed ~ {round(time.time() - self.start, 1)}s')
 26 |             time.sleep(0.5)
 27 |             
 28 |             
 29 |     def solve(self):
 30 |         try:
 31 |             sess = requests.Session()
 32 |             num = random.randint(1000, 9999)
 33 | 
 34 |             sessid = sess.get(
 35 |                 self.base_url,
 36 |                 headers={
 37 |                     "origin": "https://zefoy.com",
 38 |                     "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.54 Safari/537.36",
 39 |                     "x-requested-with": "XMLHttpRequest"
 40 |                 }
 41 |             ).cookies.values()[0]
 42 | 
 43 |             response = sess.get(
 44 |                 self.base_url + "a1ef290e2636bf553f39817628b6ca49.php",
 45 |                 headers={
 46 |                     "origin": "https://zefoy.com",
 47 |                     "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.54 Safari/537.36",
 48 |                     "x-requested-with": "XMLHttpRequest",
 49 |                     "cookie": f"PHPSESSID={sessid}",
 50 |                 },
 51 |                 params={
 52 |                     "_CAPTCHA": "",
 53 |                     "t": "0.23092200 1654778649"
 54 |                 }
 55 |             )
 56 | 
 57 |             with open(f"./captchas/captcha{num}.png", 'wb') as _:
 58 |                 _.write(response.content)
 59 |             
 60 |             file = cv2.imread(f"./captchas/captcha{num}.png")
 61 |             os.remove(f"./captchas/captcha{num}.png")
 62 |             thresh, im_bw = cv2.threshold(file, 190, 260, cv2.THRESH_BINARY)
 63 |             _name = f'./captchas/enhanced{num}.png'
 64 |             b = cv2.imwrite(_name, im_bw)
 65 |             def bbox(im):
 66 |                 a = numpy.array(im)[:,:,:3]
 67 |                 m = numpy.any(a != [255, 255, 255], axis=2)
 68 |                 coords = numpy.argwhere(m)
 69 |                 y0, x0, y1, x1 = *numpy.min(coords, axis=0), *numpy.max(coords, axis=0)
 70 |                 return (x0, y0, x1+1, y1+1)
 71 | 
 72 |             im = Image.open(_name)
 73 |             im2 = im.crop(bbox(im))
 74 |             im2.save(_name)
 75 |             
 76 |             ocr = pytesseract.image_to_string(_name, config=self.config)
 77 |             captcha = str(ocr)
 78 |             
 79 |             if captcha != "" and not None or not None:
 80 |                 _captcha = re.compile('[^a-zA-Z]').sub('', captcha).lower()
 81 |                 
 82 |                 d = enchant.Dict("en_US")
 83 |                 if d.check(_captcha) == False:
 84 |                     _captcha = d.suggest(_captcha)[0]
 85 |                 
 86 |                 if len(_captcha) > 2:
 87 | 
 88 |                     print(_captcha)
 89 | 
 90 |                     shutil.copy(f"./captchas/enhanced{num}.png", f"./solved/{_captcha}.png")
 91 | 
 92 |                     _response = sess.post(
 93 |                             "https://zefoy.com",
 94 |                             data={
 95 |                                 "captcha_secure": _captcha,
 96 |                                 "r75619cf53f5a5d7aa6af82edfec3bf0": ""
 97 |                             },
 98 |                             headers={
 99 |                                 "cookie": f"PHPSESSID={sessid}",
100 |                                 "origin": "https://zefoy.com",
101 |                                 "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.54 Safari/537.36",
102 |                                 "x-requested-with": "XMLHttpRequest"
103 |                             }
104 |                         )
105 | 
106 |                     if "c2VuZF9mb2xsb3dlcnNfdGlrdG9r" in _response.text:
107 |                         print(f"SOLVED | Time: {time.time() - self.start}s | Trials: {self.reqs} | Sessid: {sessid}")
108 |                         sys.exit('solved successfully')
109 |                     else:
110 |                         pass
111 |                     
112 |                     self.reqs += 1
113 | 
114 |             os.remove(f'./captchas/enhanced{num}.png')
115 |             
116 |         except Exception as e:
117 |             try: 
118 |                 os.remove(f'./captchas/enhanced{num}.png')
119 |                 os.remove(f"./captchas/captcha{num}.png")
120 |             except: 
121 |                 pass
122 | 
123 | 
124 | if __name__ == "__main__":
125 |     os.system("cls" if os.name == 'nt' else 'clear')
126 |     Solver()
127 | 


--------------------------------------------------------------------------------
/old/requirements.txt:
--------------------------------------------------------------------------------
1 | numpy==1.22.3
2 | opencv-python==4.6.0.66
3 | pyenchant==3.2.2
4 | pytesseract==0.3.9
5 | requests==2.27.1
6 | PIL-Tools==1.1.0
7 | 


--------------------------------------------------------------------------------