Python 网易易盾滑块验证功能的实现_Python

Python 网易易盾滑块验证功能的实现

2022-12-27 13:56拉灯的小手 Python

这篇文章主要介绍了Python 网易易盾滑块验证，主要是借助之前写阿里云盾滑块和极验滑块的经验写的本文，通过使用selenium请求url，并触发滑块验证，需要的朋友可以参考下

操作环境

win10 、 mac
Python3.9
selenium、PIL、numpy、scipy、matplotlib

分析

网易易盾滑块验证，就长下面这个样子

具体验证原理有兴趣的可自行查询官方文档：网易易盾开发文档

Python 网易易盾滑块验证功能的实现

话不多少，借助之前写阿里云盾滑块和极验滑块的经验，直接上代码，详细可参考：[python3 破解 geetest（极验）的滑块验证码功能]极验滑块验证

解决方案

使用selenium请求url，并触发滑块验证

def open(self):
  # 初始化浏览器
  wait = WebDriverWait(self.driver, 5)
   # 点击对应标签
   self.driver.get(cfg.TEST_URL)
   button = wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR, cfg.HD_SELECOTR)))
   button.click()
   self.tc_item = wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR, cfg.TC_SELECOTR)))
   self.tc_item.click()

   # 得到背景和滑块的item, 以及滑动按钮
   time.sleep(2)
   self.background_item = wait.until(
       EC.presence_of_element_located((By.CSS_SELECTOR, cfg.BG_SELECOTR))
   )
   self.slider_item = wait.until(
       EC.presence_of_element_located((By.CSS_SELECTOR, cfg.HK_SELECOTR))
   )
   self.slider_btn = wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, cfg.HD_BTN)))
   self.offset = cfg.offset
   self.background_path = cfg.background_path
   self.slider_path = cfg.slider_path

获取验证图片并计算滑块距离

def get_images(self):
 """
 获取验证码图片
 :return: 图片的location信息
 """
  url = selenium_item.get_attribute("src")
  if url is not None:
      response = requests.get(url)
      with open(path, "wb") as f:
          f.write(response.content)
      img = Image.open(path).resize(size)
      img.save(path)
  else:
      class_name = selenium_item.get_attribute("class")
      js_cmd = (
          'return document.getElementsByClassName("%s")[0].toDataURL("image/png");'
          % class_name
      )
      im_info = self.driver.execute_script(js_cmd)
      im_base64 = im_info.split(",")[1] 
      im_bytes = base64.b64decode(im_base64)
      with open(path, "wb") as f:
          f.write(im_bytes)
      img = Image.open(path).resize(size)
      img.save(path)

def compute_gap(self, array):
 """
 计算缺口偏移
 """
 grad = np.array(array > 0)
  h, w = grad.shape
  # img_show(grad)
  rows_sum = np.sum(grad, axis=1)
  cols_sum = np.sum(grad, axis=0)
  left, top, bottom = 0, 0, h
  # get the top index
  p = np.max(rows_sum) * 0.5
  for i in range(h):
      if rows_sum[i] > p:
          top = i
          break
  for i in range(h - 1, -1, -1):
      if rows_sum[i] > p:
          bottom = i
          break
  p = np.max(cols_sum) * 0.5
  for i in range(w):
      if cols_sum[i] > p:
          left = i
          break
  return top, bottom + 1, left

生成滑动轨迹

def get_tracks(distance):
  v = random.randint(0, 2)
  t = 1
  tracks = []
  cur = 0
  mid = distance * 0.8
  while cur < distance:
      if cur < mid:
          a = random.randint(2, 4)
      else:
          a = -random.randint(3, 5)
      s = v * t + 0.5 * a * t ** 2
      cur += s
      v = v + a * t
      tracks.append(round(s))
  tracks.append(distance - sum(tracks))
  return tracks

滑动模块

def move_to_gap(self, track):
   """滑动滑块"""
   print('第一步,点击滑动按钮')
   slider = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME, 'geetest_slider_button')))
   ActionChains(self.driver).click_and_hold(slider).perform()
   time.sleep(1)
   print('第二步,拖动元素')
   for track in track:
       ActionChains(self.driver).move_by_offset(xoffset=track, yoffset=0).perform()  # 鼠标移动到距离当前位置（x,y）
       time.sleep(0.0001)