极验证码3破解-selenium

import time

from io import BytesIO

from PIL import Image

from selenium import webdriver

from selenium.webdriver import ActionChains

from selenium.webdriver.common.by import By

from selenium.webdriver.support.ui import WebDriverWait

from selenium.webdriver.support import expected_conditions as EC

 

EMAIL = ''

PASSWORD = ''

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BORDER = 6

INIT_LEFT = 60

 

 

class CrackGeetest():

    def __init__(self):

        self.url = 'https://account.zbj.com/login'

        self.option = webdriver.ChromeOptions()

        # self.option.add_argument('--headless')

        # self.option.add_argument('--disable-gpu')

        # self.option.add_argument("--user-agent=Mozilla/5.0 HAHA")

        self.browser = webdriver.Chrome(executable_path="./chromedriver", options=self.option)

        self.wait = WebDriverWait(self.browser, 20)

        self.email = EMAIL

        self.password = PASSWORD

 

    def __del__(self):

        self.browser.close()

 

    def get_geetest_button(self):

        """

        获取初始验证按钮

        :return:

        """

        button = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'geetest_radar_tip')))

        return button

 

    def get_position(self):

        """

        获取验证码位置

        :return: 验证码位置元组

        """

        img = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME, 'geetest_canvas_img')))

        time.sleep(2)

        location = img.location

        size = img.size

        top, bottom, left, right = location['y'], location['y'] + size['height'], location['x'], location['x'] + size[

            'width']

        return (top, bottom, left, right)

 

    def get_screenshot(self):

        """

        获取网页截图

        :return: 截图对象

        """

        screenshot = self.browser.get_screenshot_as_png()

        screenshot = Image.open(BytesIO(screenshot))

        return screenshot

 

    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', js=''):

        """

        获取验证码图片

        :return: 图片对象

        """

        time.sleep(1)

        self.browser.execute_script(js)

        time.sleep(1)

 

        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 open(self):

        """

        打开网页输入用户名密码

        :return: None

        """

        self.browser.get(self.url)

        email = self.wait.until(EC.presence_of_element_located((By.ID, 'username')))

        password = self.wait.until(EC.presence_of_element_located((By.ID, 'password')))

        email.send_keys(self.email)

        time.sleep(1)

        password.send_keys(self.password)

 

    def get_gap(self, image1, image2):

        """

        获取缺口偏移量

        :param image1: 不带缺口图片

        :param image2: 带缺口图片

        :return:

        """

        left = 60

        for i in range(left, image1.size[0]):

            for j in range(image1.size[1]):

                if not self.is_pixel_equal(image1, image2, i, j):

                    left = i

                    return left

        return left

 

    def is_pixel_equal(self, image1, image2, x, y):

        """

        判断两个像素是否相同

        :param image1: 图片1

        :param image2: 图片2

        :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

        pixel1 = image1.load()[x, y]

        pixel2 = image2.load()[x, y]

        threshold = 60

        if abs(pixel1[0] - pixel2[0]) < threshold and abs(pixel1[1] - pixel2[1]) < threshold and abs(

                pixel1[2] - pixel2[2]) < threshold:

            return True

        else:

            return False

 

    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 * 4 / 5

        # 计算间隔

        t = 0.2

        # 初速度

        v = 0

 

        while current < distance:

            if current < mid:

                # 加速度为正2

                a = 2

            else:

                # 加速度为负3

                a = -3

            # 初速度v0

            v0 = v

            # 当前速度v = v0 + at

            v = v0 + a * t

            # 移动距离x = v0t + 1/2 * a * t^2

            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 move_to_gap(self, slider, track):

        """

        拖动滑块到缺口处

        :param slider: 滑块

        :param track: 轨迹

        :return:

        """

        ActionChains(self.browser).click_and_hold(slider).perform()

        for x in track:

            ActionChains(self.browser).move_by_offset(xoffset=x, yoffset=0).perform()

        time.sleep(0.5)

        ActionChains(self.browser).release().perform()

 

    def login(self):

        """

        登录

        :return: None

        """

        submit = self.wait.until(EC.element_to_be_clickable((By.XPATH, '//*[@id="login"]//button')))

        function(){ //交易品种 http://www.kaifx.cn/question/kaifx/1741.html

        submit.click()

        time.sleep(10)

        print('登录成功')

 

    def crack(self):

        # 输入用户名密码

        self.open()

        # 点击验证按钮

        button = self.get_geetest_button()

        button.click()

        # 获取验证码图片

        js_1 = '''document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="block";'''

        image1 = self.get_geetest_image(name='captcha1.png', js=js_1)

        # 获取带缺口的验证码图片

        js_2 = '''document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="none";'''

        image2 = self.get_geetest_image(name='captcha2.png', js=js_2)

        # 获取缺口位置

        gap = self.get_gap(image1, image2)

        print('缺口位置', gap)

        # 减去缺口位移

        gap -= BORDER

        # 获取移动轨迹

        track = self.get_track(gap)

        print('滑动轨迹', track)

        # 拖动滑块

        slider = self.get_slider()

        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)

 

        # 失败后重试

        if not success:

            self.crack()

        else:

            self.login()

 

 

if __name__ == '__main__':

    crack = CrackGeetest()

    crack.crack()


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转载自blog.51cto.com/14511863/2458377