滑块验证码的对抗-somd5批量查询

起因

最近刚接触了研究验证码对抗
刚好朋友说想搞somd5 批量查询 但是卡在了滑块验证码的认证上
于是:盘他
学习了几篇别的大佬的操作 也有了几个尝试

尝试:

采集信息:

移动了两次 发现ans的后面的值(110)始终没有变
然后这个滑块 x,y值中的Y始终是水平的
所以猜ans是坐标
只要传入缺口的坐标即可(缺口左上角顶点坐标
这里用cv2，网上借鉴了一下(读书人的事那能叫抄吗

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def identify_gap(beijing,quekou):
 '''
 beijing: 背景图片
 quekou: 缺口图片
 '''
 # 读取背景图片和缺口图片
 beijing_img = cv2.imread(beijing) # 背景图片
 quekou_img = cv2.imread(quekou) # 缺口图片
  
 # 识别图片边缘
 beijing_edge = cv2.Canny(beijing_img, 100, 200)
 quekou_edge = cv2.Canny(quekou_img, 100, 200)
  
 # 转换图片格式
 beijing_pic = cv2.cvtColor(beijing_edge, cv2.COLOR_GRAY2RGB)
 quekou_pic = cv2.cvtColor(quekou_edge, cv2.COLOR_GRAY2RGB)
  
 # 缺口匹配
 res = cv2.matchTemplate(beijing_pic, quekou_pic, cv2.TM_CCOEFF_NORMED)
 min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res) # 寻找最优匹配
  
 # 绘制方框
 th, tw = quekou_pic.shape[:2] 
 tl = max_loc
 # 返回缺口的坐标(x
 return tl[0]

然后return 的就是左上角缺口顶点的x(因为只需要x就可以计算偏移量
但是由于我人傻 不知道怎么解决verify的请求问题 所以就放弃了直接request这条路，改用selenium(嘻嘻)，有兴趣的表哥可以试试

使用selenium

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def init():
    options = Options()
    options.binary_location = "C:\Program Files (x86)\Google\Chrome\Application\chrome.exe"    #chrome binary location specified here
    options.add_argument("-enable-webgl")
    options.add_argument("--no-sandbox") #bypass OS security model
    options.add_argument("--disable-dev-shm-usage") #overcome limited resource problems
    driver = webdriver.Chrome(options=options, executable_path=r'C:\Program Files (x86)\Google\Chrome\Application\chromedriver.exe')
    driver.get('https://www.somd5.com/')
    return driver
def download(url,file):
    r = requests.get(url)
    with open(file, "wb") as code:
        code.write(r.content)
def search(driver,md5):
    # 定位查询按钮
    username = driver.find_element_by_id('hash')
    username.clear()
    username.send_keys(md5)
    sleep(1)


    # 定位登录按钮
    btn = driver.find_element_by_id('TencentCaptcha')
    btn.click()

    sleep(1)

    # 定位 iframe
    frame = driver.find_element_by_xpath(xpath='//iframe')

    # 切换到 iframe
    # driver.switch_to_frame(frame)  # 这个方法也可以运行，但是会报错
    sleep(2)
    driver.switch_to.frame(driver.find_element_by_xpath("/html/body/div[5]/iframe"))

    # 定位滑动块
    test_button = driver.find_element_by_xpath('//*[@id="tcaptcha_drag_thumb"]')

    #获取大图 and 缺口 url
    big_img=driver.find_element_by_xpath('/html/body/div/div[3]/div[2]/div[1]/div[2]/img').get_attribute("src")
    small_img=driver.find_element_by_xpath('/html/body/div/div[3]/div[2]/div[1]/div[3]/img').get_attribute("src")
    download(big_img,'big_img.jpg')
    download(small_img,'small_img.png')
    #print(big_img,small_img)#输出大图 & 缺口链接
    # 实例一个动作链对象
    action = ActionChains(driver)
    action.click_and_hold(on_element=test_button).perform()#抓住滑块
    action.move_by_offset(xoffset=(identify_gap('big_img.jpg','small_img.png')-52)/2, yoffset=0).perform()#滑动
    test_button.click()
    #print(identify_gap('big_img.jpg','small_img.png')) #输出680px的情况下的x坐标
    sleep(6)
    result=driver.find_element_by_xpath('/html/body/div[1]/div[2]/div[2]/div[2]/div/div[2]').get_attribute("innerHTML")
    return result
        
    # 松开滑动

大功告成！完整代码如下
使用时切记把要查的内容放在md5.txt里

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from selenium.webdriver import ActionChains
from selenium import webdriver
from time import sleep
from selenium.webdriver.chrome.options import Options
import requests
import cv2

def init():
    options = Options()
    options.binary_location = "C:\Program Files (x86)\Google\Chrome\Application\chrome.exe"    #chrome binary location specified here
    options.add_argument("-enable-webgl")
    options.add_argument("--no-sandbox") #bypass OS security model
    options.add_argument("--disable-dev-shm-usage") #overcome limited resource problems
    driver = webdriver.Chrome(options=options, executable_path=r'C:\Program Files (x86)\Google\Chrome\Application\chromedriver.exe')#改成自己的chromedriver所在位置
    driver.get('https://www.somd5.com/')
    return driver


def download(url,file):
    r = requests.get(url)
    with open(file, "wb") as code:
        code.write(r.content)

def identify_gap(bg,tp):
 '''
 bg: 背景图片
 tp: 缺口图片
 '''
 # 读取背景图片和缺口图片
 bg_img = cv2.imread(bg) # 背景图片
 tp_img = cv2.imread(tp) # 缺口图片
  
 # 识别图片边缘
 bg_edge = cv2.Canny(bg_img, 100, 200)
 tp_edge = cv2.Canny(tp_img, 100, 200)
  
 # 转换图片格式
 bg_pic = cv2.cvtColor(bg_edge, cv2.COLOR_GRAY2RGB)
 tp_pic = cv2.cvtColor(tp_edge, cv2.COLOR_GRAY2RGB)
  
 # 缺口匹配
 res = cv2.matchTemplate(bg_pic, tp_pic, cv2.TM_CCOEFF_NORMED)
 min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res) # 寻找最优匹配
  
 # 绘制方框
 th, tw = tp_pic.shape[:2] 
 tl = max_loc
 # 返回缺口的坐标(x
 return tl[0]
def search(driver,md5):
    # 定位查询按钮
    username = driver.find_element_by_id('hash')
    username.clear()
    username.send_keys(md5)
    sleep(1)


    # 定位登录按钮
    btn = driver.find_element_by_id('TencentCaptcha')
    btn.click()

    sleep(1)

    # 定位 iframe
    frame = driver.find_element_by_xpath(xpath='//iframe')

    # 切换到 iframe
    # driver.switch_to_frame(frame)  # 这个方法也可以运行，但是会报错
    sleep(2)
    driver.switch_to.frame(driver.find_element_by_xpath("/html/body/div[5]/iframe"))

    # 定位滑动块
    test_button = driver.find_element_by_xpath('//*[@id="tcaptcha_drag_thumb"]')

    #获取大图 and 缺口 url
    big_img=driver.find_element_by_xpath('/html/body/div/div[3]/div[2]/div[1]/div[2]/img').get_attribute("src")
    small_img=driver.find_element_by_xpath('/html/body/div/div[3]/div[2]/div[1]/div[3]/img').get_attribute("src")
    download(big_img,'big_img.jpg')
    download(small_img,'small_img.png')
    #print(big_img,small_img)#输出大图 & 缺口链接
    # 实例一个动作链对象
    action = ActionChains(driver)
    action.click_and_hold(on_element=test_button).perform()#抓住滑块
    action.move_by_offset(xoffset=(identify_gap('big_img.jpg','small_img.png')-52)/2, yoffset=0).perform()#滑动
    test_button.click()
    #print(identify_gap('big_img.jpg','small_img.png')) #输出680px的情况下的x坐标
    sleep(6)
    result=driver.find_element_by_xpath('/html/body/div[1]/div[2]/div[2]/div[2]/div/div[2]').get_attribute("innerHTML")
    return result
        
    # 松开滑动
 
if __name__=='__main__':
    driver=init()
    f = open("md5.txt")              
    line = f.readline()                
    while line: 
        result=search(driver,line)    
        with open('result.txt','a+') as q:
            q.write(line.strip('\n')+"的查询结果:"+result+'\n')
        line = f.readline() 
    f.close()

下载

然后就能实现了:(效果视频链接)