为什么80%的码农都做不了架构师?>>>
2019-04-16更新
- 修复极验页面改版,这次采用极验官方的demo地址:https://www.geetest.com/demo/slide-bind.html
- 截止2019-04-16,极验和腾讯的两个滑动验证码都是能保证比较高的成功率通过的
- 如何在无界面服务器上搭建selenium运行环境,可以参考我的另一篇文章:https://my.oschina.net/wycm/blog/3023967
- 完整代码github地址见底部
2018-09-20更新
- 新增对腾讯滑动验证码
https://007.qq.com/online.html?ADTAG=capt.slide
的支持,本地测试通过率70左右,有待优化中, 主要失败在计算距离上,大家有好的想法欢迎提出。 - Run with TencentCrawler.java
- 腾讯滑动验证码破解的思路和极验滑动验证码略微不同,腾讯只会返回一张完整图片,导致没法通过两张图片比对的方式来计算移动距离。 所以只能通过一张图来计算距离,这里计算的方式是通过
y轴上至少找到一条长度为30px的白线
。另外此处直接通过http请求的方式来下载的原图,这么做有两个原因- 截图的方式会对那条关键白线的像素点有所干扰,计算的时候不太方便
- 返回到前端的图片并没有像极验那样对图片做混淆
2018-09-18更新
- 更新移动轨迹算法,成功率90左右,感谢Ouyang-Wenbin提供的代码。
2018-09-08更新
- 页面改版,导致截图拿到的两张图片一样。
- 另外原有的移动轨迹算法成功率有所下降,目前本地测试成功率50%左右。
2018-06-12更新
- 17年8月份初次分享出来的时候还是可用的,在极验后台更新以后。成功率急剧下降。
- 再加上威锋网也更新了,之前的demo也不可用了。个人原因也一直没有更新。
- 现在是极验官网作为demo。
- 现在的破解思路和之前大致相同,不过也省了很多事。之前版本其实有点麻烦弯路,不知道selenium提供了截图的api。导致自己通过css去还原图片,比较麻烦。现在极验也是通过canvas的方式对图片做的还原,没有以前那么容易还原了。所以当前版本直接采用截图的形式。
- 另外需要注意的是selenium截图的一个坑,不确定是否由我自己环境导致的,我当前测试环境是mac pro。具体表现网页截图分辨率大小和网页原本的分辨率大小不一致,这种情况可能导致在取某个element时拿不到想要的元素。
- 最核心的依然是移动轨迹的算法,这次采用的一种看起来很简单的轨迹,就是一个像素点的移动。本地测试了10次,通过了10次,测试通过率100%。
Quick Start
- 修改GeetestCrawlerV2中自己环境的ChromeDriver地址。
- Run with GeetestCrawlerV2.java
分割线以下是原文
摘要
分析验证码素材图片混淆原理,并采用selenium模拟人拖动滑块过程,进而破解验证码。
人工验证的过程
- 打开威锋网注册页面(https://passport.feng.com/?r=user/register)
- 移动鼠标至小滑块,一张完整的图片会出现(如下图1)
- 点击鼠标左键,图片中间会出现一个缺块(如下图2)
- 移动小滑块正上方图案至缺块处
- 验证通过
selenium模拟验证的过程
- 加载威锋网注册页面(https://passport.feng.com/?r=user/register)
- 下载图片1和缺块图片2
- 根据两张图片的差异计算平移的距离x
- 模拟鼠标点击事件,点击小滑块向右移动x
- 验证通过
详细分析
- 打开chrome浏览器控制台,会发现图1所示的验证码图片并不是极验后台返回的原图。而是由多个div拼接而成(如下图3)
通过图片显示div的style属性可知,极验后台把图片进行切割加错位处理。把素材图片切割成10 * 58大小的52张小图,再进行错位处理。在网页上显示的时候,再通过css的background-position属性对图片进行还原。以上的图1和图2都是经过了这种处理。在这种情况下,使用selenium模拟验证是需要对下载的验证码图片进行还原。如上图3的第一个div.gt_cut_fullbg_slice标签,它的大小为10px * 58px,其中style属性为background-image: url("http://static.geetest.com/pictures/gt/969ffa43c/969ffa43c.webp"); background-position: -157px -58px;
会把该属性对应url的图片进行一个平移操作,以左上角为参考,向左平移157px,向上平移58px,图片超出部分不会显示。所以上图1所示图片是由26 * 2个10px * 58px大小的div组成(如下图4)。每一个小方块的大小58 * 10
- 下载图片并还原,上一步骤分析了图片具体的混淆逻辑,具体还原图片的代码实现如下,主要逻辑是把原图裁剪为52张小图,然后拼接成一张完整的图。
还原过程需要注意的是,后台返回错位的图片是312 * 116大小的。而网页上图片div的大小是260 * 116。/** *还原图片 * @param type */ private static void restoreImage(String type) throws IOException { //把图片裁剪为2 * 26份 for(int i = 0; i < 52; i++){ cutPic(basePath + type +".jpg" ,basePath + "result/" + type + i + ".jpg", -moveArray[i][0], -moveArray[i][1], 10, 58); } //拼接图片 String[] b = new String[26]; for(int i = 0; i < 26; i++){ b[i] = String.format(basePath + "result/" + type + "%d.jpg", i); } mergeImage(b, 1, basePath + "result/" + type + "result1.jpg"); //拼接图片 String[] c = new String[26]; for(int i = 0; i < 26; i++){ c[i] = String.format(basePath + "result/" + type + "%d.jpg", i + 26); } mergeImage(c, 1, basePath + "result/" + type + "result2.jpg"); mergeImage(new String[]{basePath + "result/" + type + "result1.jpg", basePath + "result/" + type + "result2.jpg"}, 2, basePath + "result/" + type + "result3.jpg"); //删除产生的中间图片 for(int i = 0; i < 52; i++){ new File(basePath + "result/" + type + i + ".jpg").deleteOnExit(); } new File(basePath + "result/" + type + "result1.jpg").deleteOnExit(); new File(basePath + "result/" + type + "result2.jpg").deleteOnExit(); }
- 计算平移距离,遍历图片的每一个像素点,当两张图的R、G、B之差的和大于255,说明该点的差异过大,很有可能就是需要平移到该位置的那个点,代码如下。
BufferedImage fullBI = ImageIO.read(new File(basePath + "result/" + FULL_IMAGE_NAME + "result3.jpg")); BufferedImage bgBI = ImageIO.read(new File(basePath + "result/" + BG_IMAGE_NAME + "result3.jpg")); for (int i = 0; i < bgBI.getWidth(); i++){ for (int j = 0; j < bgBI.getHeight(); j++) { int[] fullRgb = new int[3]; fullRgb[0] = (fullBI.getRGB(i, j) & 0xff0000) >> 16; fullRgb[1] = (fullBI.getRGB(i, j) & 0xff00) >> 8; fullRgb[2] = (fullBI.getRGB(i, j) & 0xff); int[] bgRgb = new int[3]; bgRgb[0] = (bgBI.getRGB(i, j) & 0xff0000) >> 16; bgRgb[1] = (bgBI.getRGB(i, j) & 0xff00) >> 8; bgRgb[2] = (bgBI.getRGB(i, j) & 0xff); if(difference(fullRgb, bgRgb) > 255){ return i; } } }
- 模拟鼠标移动事件,这一步骤是最关键的步骤,极验验证码后台正是通过移动滑块的轨迹来判断是否为机器所为。整个移动轨迹的过程越随机越好,我这里提供一种成功率较高的移动算法,代码如下。
public static void move(WebDriver driver, WebElement element, int distance) throws InterruptedException { int xDis = distance + 11; System.out.println("应平移距离:" + xDis); int moveX = new Random().nextInt(8) - 5; int moveY = 1; Actions actions = new Actions(driver); new Actions(driver).clickAndHold(element).perform(); Thread.sleep(200); printLocation(element); actions.moveToElement(element, moveX, moveY).perform(); System.out.println(moveX + "--" + moveY); printLocation(element); for (int i = 0; i < 22; i++){ int s = 10; if (i % 2 == 0){ s = -10; } actions.moveToElement(element, s, 1).perform(); printLocation(element); Thread.sleep(new Random().nextInt(100) + 150); } System.out.println(xDis + "--" + 1); actions.moveByOffset(xDis, 1).perform(); printLocation(element); Thread.sleep(200); actions.release(element).perform(); }
- 完整代码如下
package com.github.wycm; import org.apache.commons.io.FileUtils; import org.jsoup.Jsoup; import org.jsoup.nodes.Document; import org.jsoup.nodes.Element; import org.jsoup.select.Elements; import org.openqa.selenium.By; import org.openqa.selenium.Point; import org.openqa.selenium.WebDriver; import org.openqa.selenium.WebElement; import org.openqa.selenium.chrome.ChromeDriver; import org.openqa.selenium.interactions.Actions; import org.openqa.selenium.support.ui.ExpectedCondition; import org.openqa.selenium.support.ui.WebDriverWait; import javax.imageio.ImageIO; import javax.imageio.ImageReadParam; import javax.imageio.ImageReader; import javax.imageio.stream.ImageInputStream; import java.awt.*; import java.awt.image.BufferedImage; import java.io.File; import java.io.FileInputStream; import java.io.IOException; import java.net.URL; import java.util.Iterator; import java.util.Random; import java.util.regex.Matcher; import java.util.regex.Pattern; public class GeettestCrawler { private static String basePath = "src/main/resources/"; private static String FULL_IMAGE_NAME = "full-image"; private static String BG_IMAGE_NAME = "bg-image"; private static int[][] moveArray = new int[52][2]; private static boolean moveArrayInit = false; private static String INDEX_URL = "https://passport.feng.com/?r=user/register"; private static WebDriver driver; static { System.setProperty("webdriver.chrome.driver", "D:/dev/selenium/chromedriver_V2.30/chromedriver_win32/chromedriver.exe"); if (!System.getProperty("os.name").toLowerCase().contains("windows")){ System.setProperty("webdriver.chrome.driver", "/Users/wangyang/workspace/selenium/chromedriver_V2.30/chromedriver"); } driver = new ChromeDriver(); } public static void main(String[] args) throws InterruptedException { for (int i = 0; i < 10; i++){ try { invoke(); } catch (IOException e) { e.printStackTrace(); } catch (InterruptedException e) { e.printStackTrace(); } } driver.quit(); } private static void invoke() throws IOException, InterruptedException { //设置input参数 driver.get(INDEX_URL); //通过[class=gt_slider_knob gt_show] By moveBtn = By.cssSelector(".gt_slider_knob.gt_show"); waitForLoad(driver, moveBtn); WebElement moveElemet = driver.findElement(moveBtn); int i = 0; while (i++ < 15){ int distance = getMoveDistance(driver); move(driver, moveElemet, distance - 6); By gtTypeBy = By.cssSelector(".gt_info_type"); By gtInfoBy = By.cssSelector(".gt_info_content"); waitForLoad(driver, gtTypeBy); waitForLoad(driver, gtInfoBy); String gtType = driver.findElement(gtTypeBy).getText(); String gtInfo = driver.findElement(gtInfoBy).getText(); System.out.println(gtType + "---" + gtInfo); /** * 再来一次: * 验证失败: */ if(!gtType.equals("再来一次:") && !gtType.equals("验证失败:")){ Thread.sleep(4000); System.out.println(driver); break; } Thread.sleep(4000); } } /** * 移动 * @param driver * @param element * @param distance * @throws InterruptedException */ public static void move(WebDriver driver, WebElement element, int distance) throws InterruptedException { int xDis = distance + 11; System.out.println("应平移距离:" + xDis); int moveX = new Random().nextInt(8) - 5; int moveY = 1; Actions actions = new Actions(driver); new Actions(driver).clickAndHold(element).perform(); Thread.sleep(200); printLocation(element); actions.moveToElement(element, moveX, moveY).perform(); System.out.println(moveX + "--" + moveY); printLocation(element); for (int i = 0; i < 22; i++){ int s = 10; if (i % 2 == 0){ s = -10; } actions.moveToElement(element, s, 1).perform(); // printLocation(element); Thread.sleep(new Random().nextInt(100) + 150); } System.out.println(xDis + "--" + 1); actions.moveByOffset(xDis, 1).perform(); printLocation(element); Thread.sleep(200); actions.release(element).perform(); } private static void printLocation(WebElement element){ Point point = element.getLocation(); System.out.println(point.toString()); } /** * 等待元素加载,10s超时 * @param driver * @param by */ public static void waitForLoad(final WebDriver driver, final By by){ new WebDriverWait(driver, 10).until(new ExpectedCondition
() { public Boolean apply(WebDriver d) { WebElement element = driver.findElement(by); if (element != null){ return true; } return false; } }); } /** * 计算需要平移的距离 * @param driver * @return * @throws IOException */ public static int getMoveDistance(WebDriver driver) throws IOException { String pageSource = driver.getPageSource(); String fullImageUrl = getFullImageUrl(pageSource); FileUtils.copyURLToFile(new URL(fullImageUrl), new File(basePath + FULL_IMAGE_NAME + ".jpg")); String getBgImageUrl = getBgImageUrl(pageSource); FileUtils.copyURLToFile(new URL(getBgImageUrl), new File(basePath + BG_IMAGE_NAME + ".jpg")); initMoveArray(driver); restoreImage(FULL_IMAGE_NAME); restoreImage(BG_IMAGE_NAME); BufferedImage fullBI = ImageIO.read(new File(basePath + "result/" + FULL_IMAGE_NAME + "result3.jpg")); BufferedImage bgBI = ImageIO.read(new File(basePath + "result/" + BG_IMAGE_NAME + "result3.jpg")); for (int i = 0; i < bgBI.getWidth(); i++){ for (int j = 0; j < bgBI.getHeight(); j++) { int[] fullRgb = new int[3]; fullRgb[0] = (fullBI.getRGB(i, j) & 0xff0000) >> 16; fullRgb[1] = (fullBI.getRGB(i, j) & 0xff00) >> 8; fullRgb[2] = (fullBI.getRGB(i, j) & 0xff); int[] bgRgb = new int[3]; bgRgb[0] = (bgBI.getRGB(i, j) & 0xff0000) >> 16; bgRgb[1] = (bgBI.getRGB(i, j) & 0xff00) >> 8; bgRgb[2] = (bgBI.getRGB(i, j) & 0xff); if(difference(fullRgb, bgRgb) > 255){ return i; } } } throw new RuntimeException("未找到需要平移的位置"); } private static int difference(int[] a, int[] b){ return Math.abs(a[0] - b[0]) + Math.abs(a[1] - b[1]) + Math.abs(a[2] - b[2]); } /** * 获取move数组 * @param driver */ private static void initMoveArray(WebDriver driver){ if (moveArrayInit){ return; } Document document = Jsoup.parse(driver.getPageSource()); Elements elements = document.select("[class=gt_cut_bg gt_show]").first().children(); int i = 0; for(Element element : elements){ Pattern pattern = Pattern.compile(".*background-position: (.*?)px (.*?)px.*"); Matcher matcher = pattern.matcher(element.toString()); if (matcher.find()){ String width = matcher.group(1); String height = matcher.group(2); moveArray[i][0] = Integer.parseInt(width); moveArray[i++][1] = Integer.parseInt(height); } else { throw new RuntimeException("解析异常"); } } moveArrayInit = true; } /** *还原图片 * @param type */ private static void restoreImage(String type) throws IOException { //把图片裁剪为2 * 26份 for(int i = 0; i < 52; i++){ cutPic(basePath + type +".jpg" ,basePath + "result/" + type + i + ".jpg", -moveArray[i][0], -moveArray[i][1], 10, 58); } //拼接图片 String[] b = new String[26]; for(int i = 0; i < 26; i++){ b[i] = String.format(basePath + "result/" + type + "%d.jpg", i); } mergeImage(b, 1, basePath + "result/" + type + "result1.jpg"); //拼接图片 String[] c = new String[26]; for(int i = 0; i < 26; i++){ c[i] = String.format(basePath + "result/" + type + "%d.jpg", i + 26); } mergeImage(c, 1, basePath + "result/" + type + "result2.jpg"); mergeImage(new String[]{basePath + "result/" + type + "result1.jpg", basePath + "result/" + type + "result2.jpg"}, 2, basePath + "result/" + type + "result3.jpg"); //删除产生的中间图片 for(int i = 0; i < 52; i++){ new File(basePath + "result/" + type + i + ".jpg").deleteOnExit(); } new File(basePath + "result/" + type + "result1.jpg").deleteOnExit(); new File(basePath + "result/" + type + "result2.jpg").deleteOnExit(); } /** * 获取原始图url * @param pageSource * @return */ private static String getFullImageUrl(String pageSource){ String url = null; Document document = Jsoup.parse(pageSource); String style = document.select("[class=gt_cut_fullbg_slice]").first().attr("style"); Pattern pattern = Pattern.compile("url\\(\"(.*)\"\\)"); Matcher matcher = pattern.matcher(style); if (matcher.find()){ url = matcher.group(1); } url = url.replace(".webp", ".jpg"); System.out.println(url); return url; } /** * 获取带背景的url * @param pageSource * @return */ private static String getBgImageUrl(String pageSource){ String url = null; Document document = Jsoup.parse(pageSource); String style = document.select(".gt_cut_bg_slice").first().attr("style"); Pattern pattern = Pattern.compile("url\\(\"(.*)\"\\)"); Matcher matcher = pattern.matcher(style); if (matcher.find()){ url = matcher.group(1); } url = url.replace(".webp", ".jpg"); System.out.println(url); return url; } public static boolean cutPic(String srcFile, String outFile, int x, int y, int width, int height) { FileInputStream is = null; ImageInputStream iis = null; try { if (!new File(srcFile).exists()) { return false; } is = new FileInputStream(srcFile); String ext = srcFile.substring(srcFile.lastIndexOf(".") + 1); Iterator it = ImageIO.getImageReadersByFormatName(ext); ImageReader reader = it.next(); iis = ImageIO.createImageInputStream(is); reader.setInput(iis, true); ImageReadParam param = reader.getDefaultReadParam(); Rectangle rect = new Rectangle(x, y, width, height); param.setSourceRegion(rect); BufferedImage bi = reader.read(0, param); File tempOutFile = new File(outFile); if (!tempOutFile.exists()) { tempOutFile.mkdirs(); } ImageIO.write(bi, ext, new File(outFile)); return true; } catch (Exception e) { e.printStackTrace(); return false; } finally { try { if (is != null) { is.close(); } if (iis != null) { iis.close(); } } catch (IOException e) { e.printStackTrace(); return false; } } } /** * 图片拼接 (注意:必须两张图片长宽一致哦) * @param files 要拼接的文件列表 * @param type 1横向拼接,2 纵向拼接 * @param targetFile 输出文件 */ private static void mergeImage(String[] files, int type, String targetFile) { int length = files.length; File[] src = new File[length]; BufferedImage[] images = new BufferedImage[length]; int[][] ImageArrays = new int[length][]; for (int i = 0; i < length; i++) { try { src[i] = new File(files[i]); images[i] = ImageIO.read(src[i]); } catch (Exception e) { throw new RuntimeException(e); } int width = images[i].getWidth(); int height = images[i].getHeight(); ImageArrays[i] = new int[width * height]; ImageArrays[i] = images[i].getRGB(0, 0, width, height, ImageArrays[i], 0, width); } int newHeight = 0; int newWidth = 0; for (int i = 0; i < images.length; i++) { // 横向 if (type == 1) { newHeight = newHeight > images[i].getHeight() ? newHeight : images[i].getHeight(); newWidth += images[i].getWidth(); } else if (type == 2) {// 纵向 newWidth = newWidth > images[i].getWidth() ? newWidth : images[i].getWidth(); newHeight += images[i].getHeight(); } } if (type == 1 && newWidth < 1) { return; } if (type == 2 && newHeight < 1) { return; } // 生成新图片 try { BufferedImage ImageNew = new BufferedImage(newWidth, newHeight, BufferedImage.TYPE_INT_RGB); int height_i = 0; int width_i = 0; for (int i = 0; i < images.length; i++) { if (type == 1) { ImageNew.setRGB(width_i, 0, images[i].getWidth(), newHeight, ImageArrays[i], 0, images[i].getWidth()); width_i += images[i].getWidth(); } else if (type == 2) { ImageNew.setRGB(0, height_i, newWidth, images[i].getHeight(), ImageArrays[i], 0, newWidth); height_i += images[i].getHeight(); } } //输出想要的图片 ImageIO.write(ImageNew, targetFile.split("\\.")[1], new File(targetFile)); } catch (Exception e) { throw new RuntimeException(e); } } } - pom文件依赖如下
org.seleniumhq.selenium selenium-server 3.0.1 org.jsoup jsoup 1.7.2
免责申明
- 本项目仅供个人学习与交流使用,严禁用于商业以及不良用途。
效果
- 附上一张滑动效果图
最后
- github地址:https://github.com/wycm/selenium-geetest-crack
- 如果觉得不错,请给个star
- 欢迎加入爬虫qq交流群:633925314
版权声明 作者:wycm
出处:https://my.oschina.net/wycm/blog/1510725
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