【2019.05】极验滑动验证码破解 geetest
【极验测试站】https://www.geetest.com/demo/slide-popup.html滑动验证码如下图破解滑动验证码一般都是得到验证码的原图和有滑块的图,这里我们抓包发现极验的原图和滑块图经过了一定的处理,比较难操作,所以我们可以通过截图的方式来处理。原图滑块图结果展示操作见代码,注释写的比较详细#!/usr/bin/env python# encod...
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【极验测试站】https://www.geetest.com/demo/slide-popup.html
滑动验证码如下图
破解滑动验证码一般都是得到验证码的原图和有滑块的图,这里我们抓包发现极验的原图和滑块图经过了一定的处理,比较难操作,所以我们可以通过截图的方式来处理。
- 原图
- 滑块图
结果展示
操作见代码,注释写的比较详细
#!/usr/bin/env python
# encoding: utf-8
# -*- coding: utf-8 -*-
# @software: PyCharm
# @time: 2019/5/6 10:31
# @author: Paulson●Wier
# @file: geetest_demo.py
# @desc:
from selenium.webdriver.support import expected_conditions as EC
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver import ActionChains
from PIL import Image
from io import BytesIO
import time
BORDER = 6
class CrackGeetest(object):
def __init__(self):
self.url = 'https://www.geetest.com/demo/slide-popup.html'
options = webdriver.ChromeOptions()
options.add_argument("--start-maximized")
self.browser = webdriver.Chrome(options=options)
self.wait = WebDriverWait(self.browser, 10)
def open(self):
"""
打开网页
:return None
"""
self.browser.get(self.url)
def close(self):
"""
关闭网页
:return None
"""
self.browser.close()
self.browser.quit()
def change_to_slide(self):
"""
切换为滑动认证
:return 滑动选项对象
"""
huadong = self.wait.until(
EC.element_to_be_clickable((By.CSS_SELECTOR, '.products-content > ul > li:nth-child(2)'))
)
return huadong
def get_geetest_button(self):
"""
获取初始认证按钮
:return 按钮对象
"""
button = self.wait.until(
EC.element_to_be_clickable((By.CSS_SELECTOR, '.geetest_radar_tip_content'))
)
return button
def wait_pic(self):
"""
等待验证图片加载完成
:return None
"""
self.wait.until(
EC.presence_of_element_located((By.CSS_SELECTOR, '.geetest_popup_wrap'))
)
def get_screenshot(self):
"""
获取网页截图
:return: 截图对象
"""
screenshot = self.browser.get_screenshot_as_png()
self.browser.save_screenshot("yanzhengma1.png")
screenshot = Image.open(BytesIO(screenshot))
return screenshot
def get_position(self):
"""
获取验证码位置
:return: 位置元组
"""
img = self.wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, '.geetest_canvas_img.geetest_absolute')))
time.sleep(2)
location = img.location
size = img.size
# top, bottom = location['y'] - size['height'], location['y']
# print("top")
# left, right = location['x'], location['x'] + size['width']
left = location['x']
top = location['y']
right = left + size['width']
bottom = top + size['height']
return top, bottom, left, right
def get_slider(self):
"""
获取滑块
:return: 滑块对象
"""
slider = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'geetest_slider_button')))
return slider
def get_geetest_image(self, name='captcha.png'):
"""
获取验证码图片
:return: 图片对象
"""
top, bottom, left, right = self.get_position()
print('验证码位置', top, bottom, left, right)
screenshot = self.get_screenshot()
captcha = screenshot.crop((left, top, right, bottom))
captcha.save(name)
return captcha
def delete_style(self):
"""
执行js脚本,获取无滑块图
:return None
"""
js = 'document.querySelectorAll("canvas")[2].style=""'
self.browser.execute_script(js)
def is_pixel_equal(self, img1, img2, x, y):
"""
判断两个像素是否相同
:param img1: 不带缺口图片
:param img2: 带缺口图
:param x: 位置x
:param y: 位置y
:return: 像素是否相同
"""
# 取两个图片的像素点
pix1 = img1.load()[x, y]
pix2 = img2.load()[x, y]
# print(pix1+" "+pix2)
threshold = 60
if abs(pix1[0] - pix2[0]) < threshold and abs(pix1[1] - pix2[1]) < threshold and abs(pix1[2] - pix2[2]) < threshold:
return True
else:
return False
def get_gap(self, img1, img2):
"""
获取缺口偏移量
:param img1: 不带缺口图片
:param img2: 带缺口图
:return 缺口位置
"""
left = 70
for i in range(left, img1.size[0]):
for j in range(img1.size[1]):
if not self.is_pixel_equal(img1, img2, i, j):
left = i
return left
return left
def get_track(self, distance):
"""
根据偏移量获取移动轨迹
:param distance: 偏移量
:return: 移动轨迹
"""
# 移动轨迹
track = []
# 当前位移
current = 0
# 减速阈值
mid = distance * 3 / 5
# 计算间隔
t = 0.2
# 初速度
v = 0
# 滑超过过一段距离
distance += 15
while current < distance:
if current < mid:
# 加速度为正
a = 1
else:
# 加速度为负
a = -0.5
# 初速度 v0
v0 = v
# 当前速度 v
v = v0 + a * t
# 移动距离 move-->x
move = v0 * t + 1 / 2 * a * t * t
# 当前位移
current += move
# 加入轨迹
track.append(round(move))
return track
def shake_mouse(self):
"""
模拟人手释放鼠标时的抖动
:return: None
"""
ActionChains(self.browser).move_by_offset(xoffset=-2, yoffset=0).perform()
ActionChains(self.browser).move_by_offset(xoffset=2, yoffset=0).perform()
def move_to_gap(self, slider, tracks):
"""
拖动滑块到缺口处
:param slider: 滑块
:param tracks: 轨迹
:return
"""
back_tracks = [-1, -1, -2, -2, -3, -2, -2, -1, -1]
ActionChains(self.browser).click_and_hold(slider).perform()
# 正向
for x in tracks:
ActionChains(self.browser).move_by_offset(xoffset=x, yoffset=0).perform()
time.sleep(0.5)
# 逆向
for x in back_tracks:
ActionChains(self.browser).move_by_offset(xoffset=x, yoffset=0).perform()
# 模拟抖动
self.shake_mouse()
time.sleep(0.5)
ActionChains(self.browser).release().perform()
def crack(self):
try:
# 打开网页
self.open()
# # 转换验证方式,点击认证按钮
# s_button = self.change_to_slide()
# time.sleep(1)
# s_button.click()
g_button = self.get_geetest_button()
g_button.click()
# 确认图片加载完成
self.wait_pic()
# 获取滑块
slider = self.get_slider()
# 获取带缺口的验证码图片
image1 = self.get_geetest_image('captcha1.png')
self.delete_style()
image2 = self.get_geetest_image('captcha2.png')
gap = self.get_gap(image1, image2)
print('缺口位置', gap)
gap -= BORDER
track = self.get_track(gap)
self.move_to_gap(slider, track)
success = self.wait.until(
EC.text_to_be_present_in_element((By.CLASS_NAME, 'geetest_success_radar_tip_content'), '验证成功')
)
print(success)
time.sleep(5)
self.close()
except:
print('Failed-Retry')
self.crack()
if __name__ == '__main__':
crack = CrackGeetest()
crack.crack()
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