geetest拼图破解

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我是靠谱客的博主甜美月光，最近开发中收集的这篇文章主要介绍geetest拼图破解，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

geetest拼图破解：

1、考虑到每个网站的拼图数量很少，可以先把他们下下来，后面在通过RGB来判断差异，来找出需要移动到的位置

2、通过python + selenium来控制页面的操控页面的元素，是的拼图可以被移动

3、这里先直接贴上一段代码：

鸣谢：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:DateSetgeetestwaitquekou.png'
 11 img_check_now = 'E:DateSetgeetestentercheck_now.png'
 12 img_check = 'E:DateSetgeetestentercheck.png'
 13 img_result = 'E:/DateSet/geetest/result/result.png'
 14 js = "var q=document.documentElement.scrollTop=180"
 15
 16 # 访问国家企业信用信息公示系统
 17 driver = webdriver.Chrome()
 18 # driver.implicitly_wait(40)
 19 driver.get(base_url)
 20 driver.maximize_window()
 21
 22
 23 # 判断元素是否存在，通过ID查询
 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 # 判断元素是否存在，通过Class查询
 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 # 判断元素是否存在，通过xpath查询
 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("腾讯")
 57 time.sleep(1)
 58 driver.find_element_by_id("btn_query").click()
 59 time.sleep(1)
 60
 61 # 得到滑动小块在最右边的截图
 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 # 得到匹配的原图
 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 # 判断是否是相似的位置
 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 # 计算滑块位移距离
 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 #滑块移动轨迹
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 # 模拟人工移动
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 # 通过xpath定位到第一条信息
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()