geetest拼圖破解

geetest拼圖破解：

一、考慮到每一個網站的拼圖數量不多，能夠先把他們下下來，後面在經過RGB來判斷差別，來找出須要移動到的位置

二、經過python + selenium來控制頁面的操控頁面的元素，是的拼圖能夠被移動

三、這裏先直接貼上一段代碼：

鳴謝：https://blog.csdn.net/qq_38685503/article/details/81187105

  1 from selenium import webdriver
  2 from selenium.webdriver.common.action_chains import ActionChains
  3 from selenium.webdriver.support.ui import WebDriverWait
  4 from selenium.webdriver.support import expected_conditions as EC
  5 import time, random, os
  6 from PIL import Image
  7 
  8 base_url = "http://www.gsxt.gov.cn"
  9 img_paths = "E:/DateSet/geetest/gsxt"
 10 img_path = 'E:\DateSet\geetest\wait\quekou.png'
 11 img_check_now = 'E:\DateSet\geetest\enter\check_now.png'
 12 img_check = 'E:\DateSet\geetest\enter\check.png'
 13 img_result = 'E:/DateSet/geetest/result/result.png'
 14 js = "var q=document.documentElement.scrollTop=180"
 15 
 16 # 訪問國家企業信用信息公示系統
 17 driver = webdriver.Chrome()
 18 # driver.implicitly_wait(40)
 19 driver.get(base_url)
 20 driver.maximize_window()
 21 
 22 
 23 # 判斷元素是否存在，經過ID查詢
 24 def is_exist_by_id(element):
 25     try:
 26         driver.find_element_by_id(element)
 27         return True
 28     except:
 29         return False
 30 
 31 
 32 # 判斷元素是否存在，經過Class查詢
 33 def is_exist_by_class(element):
 34     try:
 35         driver.find_element_by_class_name(element)
 36         return True
 37     except:
 38         return False
 39 
 40 
 41 # 判斷元素是否存在，經過xpath查詢
 42 def is_exist_by_xpath(element):
 43     try:
 44         driver.find_element_by_xpath(element)
 45         return True
 46     except:
 47         return False
 48 
 49 
 50 while True:
 51     if is_exist_by_id("keyword") and is_exist_by_id("keyword"):
 52         break
 53     time.sleep(0.5)
 54 
 55 driver.find_element_by_id("keyword").clear()
 56 driver.find_element_by_id("keyword").send_keys("騰訊")
 57 time.sleep(1)
 58 driver.find_element_by_id("btn_query").click()
 59 time.sleep(1)
 60 
 61 # 獲得滑動小塊在最右邊的截圖
 62 while True:
 63     if is_exist_by_class("geetest_slider_button"):
 64         break
 65     time.sleep(0.5)
 66 slide_block = driver.find_element_by_class_name('geetest_slider_button')
 67 ActionChains(driver).click_and_hold(slide_block).perform()
 68 ActionChains(driver).move_by_offset(xoffset=200, yoffset=0).perform()
 69 driver.save_screenshot(img_path)
 70 
 71 
 72 # 獲得匹配的原圖
 73 def match_source(image):
 74     img_list = []
 75     file_dir = os.listdir(img_paths)
 76     for file_name in file_dir:
 77         file_path_temp = img_paths + '\\' + file_name
 78         img_list.append(Image.open(file_path_temp))
 79     # pingtu 557 * 176
 80     pixel_image = image.getpixel((557, 176))
 81     for img in img_list:
 82         # source 557 * 290
 83         pixel_img = img.getpixel((557, 290))
 84         if abs(pixel_image[0] - pixel_img[0]) < 5:
 85             return img
 86     return image
 87 
 88 
 89 # 判斷是不是類似的位置
 90 def is_similar(source_img, quekou_img, x, y):
 91     pixel1 = source_img.getpixel((x, y + 114))
 92     pixel2 = quekou_img.getpixel((x, y))
 93     if abs(pixel1[0] - pixel2[0]) >= 70 and abs(pixel1[1] - pixel2[1]) >= 70 and abs(pixel1[2] - pixel2[2]) >= 70:
 94         return False
 95     return True
 96 
 97 
 98 # 計算滑塊位移距離
 99 def get_diff_location(source_img, quekou_img):
100     for i in range(536, 803):
101         for j in range(164, 333):
102             if not is_similar(source_img, quekou_img, i, j):
103                 return i
104     return -1
105 
106 
107 #滑塊移動軌跡
108 def get_track(distance):
109     track = [distance]
110     # current = 0
111     # mid = distance * 7 / 8
112     # t = random.randint(2, 3) / 10
113     # v = 0
114     # while current < distance:
115     #     if current < mid:
116     #         a = 2
117     #     else:
118     #         a = -3
119     #     v0 = v
120     #     v = v0 + a * t
121     #     move = v0 * t + 1 / 2 * a * t * t
122     #     current += move
123     #     track.append(round(move))
124     return track
125 
126 
127 ActionChains(driver).release(slide_block).perform()
128 quekou_img = Image.open(img_path)
129 source_img = match_source(quekou_img)
130 
131 # h_dis distance to left
132 h_dis = get_diff_location(source_img, quekou_img)
133 
134 
135 # 模擬人工移動
136 def imitate(distance):
137     track_list = get_track(distance)
138     time.sleep(2)
139     ActionChains(driver).click_and_hold(slide_block).perform()
140     time.sleep(0.02)
141     for track in track_list:
142         ActionChains(driver).move_by_offset(xoffset=track, yoffset=0).perform()
143     imitate = ActionChains(driver).move_by_offset(xoffset=-1, yoffset=0)
144     time.sleep(0.015)
145     imitate.perform()
146     time.sleep(random.randint(5, 6)/10)
147     imitate.perform()
148     time.sleep(0.04)
149     imitate.perform()
150     time.sleep(0.012)
151     ActionChains(driver).move_by_offset(xoffset=1, yoffset=0).perform()
152     ActionChains(driver).pause(random.randint(1, 2)/10).release(slide_block).perform()
153     time.sleep(2)
154 
155 
156 imitate(h_dis - 552)
157 while True:
158     if is_exist_by_xpath("//*[@id='advs']/div/div[2]/a[1]"):
159         break
160     time.sleep(0.5)
161 
162 # 經過xpath定位到第一條信息
163 driver.find_element_by_xpath("//*[@id='advs']/div/div[2]/a[1]").click()
164 # time.sleep(7)
165 
166 
167 windows = driver.window_handles
168 driver.switch_to.window(windows[-1])
169 driver.execute_script(js)
170 driver.save_screenshot(img_result)
171 
172 
173 # driver.close()