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
1、打开威锋网注册页面
2、移动鼠标至小滑块,一张完整的图片会出现(如下图1)
3、点击鼠标左键,图片中间会出现一个缺块(如下图2)
4、移动小滑块正上方图案至缺块处
5、验证通过
selenium模拟验证的过程
- 加载威锋网注册页面
- 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
1、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
2、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(); }
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。
3、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; } } }
4、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
最后
完整代码已上传至github,地址:https://github.com/wycm/selenium-geetest-crack
附上一张滑动效果图
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。