使用java + selenium + OpenCV破解騰訊防水牆滑動驗證碼功能
阿新 • • 發佈：2020-11-30
* 驗證碼地址：https://007.qq.com/online.html
* 使用OpenCv模板匹配
* 成功率90%左右
* Java + Selenium + OpenCV
產品樣例
來吧！展示！
注意！！！
· 在模擬滑動時不能按照相同速度或者過快的速度滑動，需要向人滑動時一樣先快後慢，這樣才不容易被識別。
模擬滑動程式碼↓↓↓
/**
* 模擬人工移動
* @param driver
* @param element頁面滑塊
* @param distance需要移動距離
*/
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<Integer> 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();
}
}
/**
* 根據距離獲取滑動軌跡
* @param distance需要移動的距離
* @return
*/
public static List<Integer> getMoveTrack(int distance) {
List<Integer> track = new ArrayList<>();// 移動軌跡
Random random = new Random();
int current = 0;// 已經移動的距離
int mid = (int) distance * 4 / 5;// 減速閾值
int a = 0;
int move = 0;// 每次迴圈移動的距離
while (true) {
a = random.nextInt(10);
if (current <= mid) {
move += a;// 不斷加速
} 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，直接上程式碼
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(); // 設定瀏覽器視窗最大化
Thread.sleep(10000);
driver.findElement(By.className("wp-onb-tit")).findElements(By.tagName("a")).get(1).click();
Thread.sleep(500);
// 點擊出現滑動圖
waitWebElement(driver,By.id("code"),500).click();
Thread.sleep(100);
// 獲取到驗證區域
driver.switchTo().frame(waitWebElement(driver,By.id("tcaptcha_iframe"),500));
Thread.sleep(100);
// 獲取滑動按鈕
WebElement moveElemet = waitWebElement(driver,By.id("tcaptcha_drag_button"),500);
Thread.sleep(100);
// 獲取帶陰影的背景圖
String bgUrl = waitWebElement(driver,By.id("slideBg"),500).getAttribute("src");
Thread.sleep(100);
// 獲取帶陰影的小圖
String sUrl = waitWebElement(driver,By.id("slideBlock"),500).getAttribute("src");
Thread.sleep(100);
// 獲取高度
String topStr = waitWebElement(driver,500).getAttribute("style").substring(32,36);
int top = Integer.parseInt(topStr.substring(0,topStr.indexOf("p"))) * 2;
Thread.sleep(100);
// 計算移動距離
int distance = (int) Double.parseDouble(getTencentDistance(bgUrl,sUrl,top));
// 滑動
move(driver,moveElemet,distance);
Thread.sleep(5000);
} catch (Exception e) {
e.printStackTrace();
} finally {
manager.closeDriver(status);
}
}
/**
* 獲取騰訊驗證滑動距離
*
* @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());
// 轉灰度影象
Mat s_newMat = new Mat();
Imgproc.cvtColor(s_mat,s_newMat,Imgproc.COLOR_BGR2GRAY);
// 二值化影象
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); // 歸一化平方差匹配法
// 歸一化相關匹配法
Core.normalize(g_result,1,Core.NORM_MINMAX,-1,new Mat());
Point matchLocation = new Point();
MinMaxLocResult mmlr = Core.minMaxLoc(g_result);
matchLocation = mmlr.maxLoc; // 此處使用maxLoc還是minLoc取決於使用的匹配演算法
Imgproc.rectangle(b_mat,matchLocation,new Point(matchLocation.x + s_mat.cols(),matchLocation.y + s_mat.rows()),new Scalar(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
* 二值化影象
*/
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();
// 尋找最佳的闕值
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;
}
// 二值化處理
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,BLACK);
nBlack++;
}
}
}
// 確保白底黑字
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,WHITE);
} else {
mat.put(j,BLACK);
}
}
}
}
}
// 延時載入
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;
}到此這篇關於使用java + selenium + OpenCV破解騰訊防水牆滑動驗證碼的文章就介紹到這了,更多相關java selenium 滑動驗證碼內容請搜尋我們以前的文章或繼續瀏覽下面的相關文章希望大家以後多多支援我們！