較簡單的滑動驗證破解
from https://blog.csdn.net/chenxiao17301/article/details/82911155
一、新舊版對比
以前的滑動驗證碼可以得到原背景圖和有缺口的背景圖，兩圖比較，就可以計算出需要滑動的距離。
新版的驗證碼，沒有背景圖片作參考，一點開就是帶有缺口的圖片，那麼，我們怎麼計算需要滑動的距離呢？
二、解析過程
在檢查頁面原始碼時懷疑滑塊和陰影是css樣式造成的。於是，頁面更改css樣式看是否能顯示背景圖片。當我將
更改為
時，驗證碼真的只剩下背景圖片了，點選按鈕之後，就可以進行滑塊認證。這樣我們只需要通過js操作css樣式屬性，之後的破解過程就和以前的模式無多大區別了。
三、專案程式碼
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from PIL import Image
import time
def get_image(driver, n):
# canvas = driver.find_element_by_xpath('/html/body/div[3]/div[2]/div[2]/div[1]/div[1]/div/a/div[1]/div/canvas[2]')
canvas = driver.find_element_by_xpath('//canvas[@class="geetest_canvas_slice geetest_absolute"]')
left = canvas.location['x']
top = canvas.location['y']
elementWidth = canvas.location['x'] + canvas.size['width']
elementHeight = canvas.location['y'] + canvas.size['height']
driver.save_screenshot(n + '.png')
picture = Image.open(n + '.png')
picture = picture.crop((left, top, elementWidth, elementHeight))
picture.save('photo' + n + '.png')
return picture
def get_space(picture1, picture2):
start = 60
threhold = 60
for i in range(start, picture1.size[0]):
for j in range(picture1.size[1]):
rgb1 = picture1.load()[i, j]
rgb2 = picture2.load()[i, j]
res1 = abs(rgb1[0] - rgb2[0])
res2 = abs(rgb1[1] - rgb2[1])
res3 = abs(rgb1[2] - rgb2[2])
if not (res1 < threhold and res2 < threhold and res3 < threhold):
return i
return i - 10
def get_tracks(space):
# 模擬人工滑動，避免被識別為機器
space += 20 # 先滑過一點，最後再反著滑動回來
v = 0
t = 0.2
forward_tracks = []
current = 0
mid = space * 3 / 5
while current < space:
if current < mid:
a = 2
else:
a = -3
s = v * t + 0.5 * a * (t ** 2)
v = v + a * t
current += s
forward_tracks.append(round(s))
# 反著滑動到準確位置
back_tracks = [-3, -3, -2, -2, -2, -2, -2, -1, -3, -4]
return {'forward_tracks': forward_tracks, 'back_tracks': back_tracks}
def main():
driver = webdriver.Chrome()
driver.get('http://www.geetest.com/type/')
time.sleep(1)
driver.find_element_by_xpath('//*[@id="app"]/section/div/ul/li[2]/h2').click() # 選擇滑動行為驗證
# driver.find_element_by_xpath('//div[@class="geetest_slider_button"]').click() ????why
time.sleep(1)
# 1、出現滑塊驗證，獲取有缺口的圖片
# driver.find_element_by_xpath('//*[@id="captcha"]/div[2]/div[2]/div[1]/div[3]/span[1]').click()
driver.find_element_by_xpath('//span[@class="geetest_wait_dot geetest_dot_2"]').click()
time.sleep(1)
picture1 = get_image(driver, '1')
# 2、執行js改變css樣式，顯示背景圖！！！！！重點是這一步！
# driver.execute_script('document.querySelectorAll("canvas")[1].style=""') # 不是1
driver.execute_script('document.querySelectorAll("canvas")[2].style=""')
time.sleep(1)
# 3、獲取沒有缺口的圖片
picture2 = get_image(driver, '2')
# 4、對比兩種圖片的畫素點，找出位移
space = get_space(picture1, picture2)
tracks = get_tracks(space)
button = driver.find_element_by_class_name('geetest_slider_button')
ActionChains(driver).click_and_hold(button).perform()
for track in tracks['forward_tracks']:
ActionChains(driver).move_by_offset(xoffset=track, yoffset=0).perform()
time.sleep(0.5)
for back_track in tracks['back_tracks']:
ActionChains(driver).move_by_offset(xoffset=back_track, yoffset=0).perform()
ActionChains(driver).move_by_offset(xoffset=-3, yoffset=0).perform()
ActionChains(driver).move_by_offset(xoffset=3, yoffset=0).perform()
time.sleep(0.5)
ActionChains(driver).release().perform()
time.sleep(3)
# driver.close()
# driver.quit()
if __name__ == '__main__':
main()