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使用java + selenium + OpenCV破解腾讯防水墙滑动验证码

发布时间:2020-11-04 点击数:2139

使用java + selenium + OpenCV破解腾讯防水墙滑动验证码

腾讯防水墙:007.qq.com

* 验证码地址:https://007.qq.com/online.html
* 使用OpenCv模板匹配
* 成功率90%左右
* Java + Selenium + OpenCV
  •  

产品样例
腾讯防水墙
来吧!展示!

结果展示
注意!!!
· 在模拟滑动时不能按照相同速度或者过快的速度滑动,需要向人滑动时一样先快后慢,这样才不容易被识别。
模拟滑动代码↓↓↓

/**

* 模拟人工移动

* @param driver

* @param element页面滑块

* @param distance需要移动距离

*/

public static void move(WebDriver driver, WebElement element, int distance) throws InterruptedException {

int randomTime = 0;

if (distance > 90) {

randomTime = 250;

} else if (distance > 80 && distance <= 90) {

randomTime = 150;

}

List track = getMoveTrack(distance - 2);

int moveY = 1;

try {

Actions actions = new Actions(driver);

actions.clickAndHold(element).perform();

Thread.sleep(200);

for (int i = 0; i < track.size(); i++) {

actions.moveByOffset(track.get(i), moveY).perform();

Thread.sleep(new Random().nextInt(300) + randomTime);

}

Thread.sleep(200);

actions.release(element).perform();

} catch (Exception e) {

e.printStackTrace();

}

}

/**

* 根据距离获取滑动轨迹

* @param distance需要移动的距离

* @return

*/

public static List getMoveTrack(int distance) {

List track = new ArrayList<>();// 移动轨迹

Random random = new Random();

int current = 0;// 已经移动的距离

int mid = (int) distance * 4 / 5;// 减速阈值

int a = 0;

int move = 0;// 每次循环移动的距离

while (true) {

a = random.nextInt(10);

if (current <= mid) {

move += a;// 不断加速

} else {

move -= a;

}

if ((current + move) < distance) {

track.add(move);

} else {

track.add(distance - current);

break;

}

current += move;

}

return track;

 

}

看操作,no bb,直接上代码

private final String INDEX_URL = "https://007.qq.com/online.html?ADTAG=index.head";

private void seleniumTest() {

ChromeDriverManager manager = ChromeDriverManager.getInstance();

int status = -1;

try {

WebDriver driver = manager.getDriver();

driver.get(INDEX_URL);

driver.manage().window().maximize(); // 设置浏览器窗口最大化

Thread.sleep(10000);

driver.findElement(By.className("wp-onb-tit")).findElements(By.tagName("a")).get(1).click();

Thread.sleep(500);

// 点击出现滑动图

waitWebElement(driver, By.id("code"), 500).click();

Thread.sleep(100);

// 获取到验证区域

driver.switchTo().frame(waitWebElement(driver, By.id("tcaptcha_iframe"), 500));

Thread.sleep(100);

// 获取滑动按钮

WebElement moveElemet = waitWebElement(driver, By.id("tcaptcha_drag_button"), 500);

Thread.sleep(100);

// 获取带阴影的背景图

String bgUrl = waitWebElement(driver, By.id("slideBg"), 500).getAttribute("src");

Thread.sleep(100);

// 获取带阴影的小图

String sUrl = waitWebElement(driver, By.id("slideBlock"), 500).getAttribute("src");

Thread.sleep(100);

// 获取高度

String topStr = waitWebElement(driver, By.id("slideBlock"), 500).getAttribute("style").substring(32, 36);

int top = Integer.parseInt(topStr.substring(0, topStr.indexOf("p"))) * 2;

Thread.sleep(100);

// 计算移动距离

int distance = (int) Double.parseDouble(getTencentDistance(bgUrl, sUrl, top));

// 滑动

move(driver, moveElemet, distance);

Thread.sleep(5000);

 

} catch (Exception e) {

e.printStackTrace();

} finally {

manager.closeDriver(status);

}

}

 

/**

* 获取腾讯验证滑动距离

* @return

*/

public static String dllPath = "C://chrome//opencv_java440.dll";

 

public String getTencentDistance(String bUrl, String sUrl, int top) {

System.load(dllPath);

File bFile = new File("C:/qq_b.jpg");

File sFile = new File("C:/qq_s.jpg");

try {

FileUtils.copyURLToFile(new URL(bUrl), bFile);

FileUtils.copyURLToFile(new URL(sUrl), sFile);

BufferedImage bgBI = ImageIO.read(bFile);

BufferedImage sBI = ImageIO.read(sFile);

// 裁剪

bgBI = bgBI.getSubimage(360, top, bgBI.getWidth() - 370, sBI.getHeight());

ImageIO.write(bgBI, "png", bFile);

Mat s_mat = Imgcodecs.imread(sFile.getPath());

Mat b_mat = Imgcodecs.imread(bFile.getPath());

// 转灰度图像

Mat s_newMat = new Mat();

Imgproc.cvtColor(s_mat, s_newMat, Imgproc.COLOR_BGR2GRAY);

// 二值化图像

binaryzation(s_newMat);

Imgcodecs.imwrite(sFile.getPath(), s_newMat);

 

int result_rows = b_mat.rows() - s_mat.rows() + 1;

int result_cols = b_mat.cols() - s_mat.cols() + 1;

Mat g_result = new Mat(result_rows, result_cols, CvType.CV_32FC1);

Imgproc.matchTemplate(b_mat, s_mat, g_result, Imgproc.TM_SQDIFF); // 归一化平方差匹配法

// 归一化相关匹配法

Core.normalize(g_result, g_result, 0, 1, Core.NORM_MINMAX, -1, new Mat());

Point matchLocation = new Point();

MinMaxLocResult mmlr = Core.minMaxLoc(g_result);

matchLocation = mmlr.maxLoc; // 此处使用maxLoc还是minLoc取决于使用的匹配算法

Imgproc.rectangle(b_mat, matchLocation,

new Point(matchLocation.x + s_mat.cols(), matchLocation.y + s_mat.rows()), new Scalar(0, 0, 0, 0));

return "" + ((matchLocation.x + s_mat.cols() + 360 - sBI.getWidth() - 46) / 2);

} catch (Throwable e) {

e.printStackTrace();

return null;

} finally {

bFile.delete();

sFile.delete();

}

}

/**

* @param mat

*            二值化图像

*/

public static void binaryzation(Mat mat) {

int BLACK = 0;

int WHITE = 255;

int ucThre = 0, ucThre_new = 127;

int nBack_count, nData_count;

int nBack_sum, nData_sum;

int nValue;

int i, j;

int width = mat.width(), height = mat.height();

// 寻找最佳的阙值

while (ucThre != ucThre_new) {

nBack_sum = nData_sum = 0;

nBack_count = nData_count = 0;

 

for (j = 0; j < height; ++j) {

for (i = 0; i < width; i++) {

nValue = (int) mat.get(j, i)[0];

 

if (nValue > ucThre_new) {

nBack_sum += nValue;

nBack_count++;

} else {

nData_sum += nValue;

nData_count++;

}

}

}

nBack_sum = nBack_sum / nBack_count;

nData_sum = nData_sum / nData_count;

ucThre = ucThre_new;

ucThre_new = (nBack_sum + nData_sum) / 2;

}

// 二值化处理

int nBlack = 0;

int nWhite = 0;

for (j = 0; j < height; ++j) {

for (i = 0; i < width; ++i) {

nValue = (int) mat.get(j, i)[0];

if (nValue > ucThre_new) {

mat.put(j, i, WHITE);

nWhite++;

} else {

mat.put(j, i, BLACK);

nBlack++;

}

}

}

// 确保白底黑字

if (nBlack > nWhite) {

for (j = 0; j < height; ++j) {

for (i = 0; i < width; ++i) {

nValue = (int) (mat.get(j, i)[0]);

if (nValue == 0) {

mat.put(j, i, WHITE);

} else {

mat.put(j, i, BLACK);

}

}

}

}

}

// 延时加载

private static WebElement waitWebElement(WebDriver driver, By by, int count) throws Exception {

WebElement webElement = null;

boolean isWait = false;

for (int k = 0; k < count; k++) {

try {

webElement = driver.findElement(by);

if (isWait)

System.out.println(" ok!");

return webElement;

} catch (org.openqa.selenium.NoSuchElementException ex) {

isWait = true;

if (k == 0)

System.out.print("waitWebElement(" + by.toString() + ")");

else

System.out.print(".");

Thread.sleep(50);

}

}

if (isWait)

System.out.println(" outTime!");

return null;

 

}

代码仅供学习交流,请勿商用,后果自负!!