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记一次 网易易盾滑块验证分析并通过
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
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：[阿里云盾滑块验证]极验滑块验证(https://cenjy.blog.csdn.net/article/details/124357598)
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)
效果
资源下载
https://download.csdn.net/download/qq_38154948/85343666
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