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    Home»Development»Security»Critical Blink Router Flaws (CVSS 9.8) Allow Remote Root Code Execution via Unauthenticated Attacks

    Critical Blink Router Flaws (CVSS 9.8) Allow Remote Root Code Execution via Unauthenticated Attacks

    June 16, 2025

    Critical Blink Router Flaws (CVSS 9.8) Allow Remote Root Code Execution via Unauthenticated Attacks

    Five critical vulnerabilities—each scoring a CVSS of 9.8—have been disclosed in multiple models of Blink routers BL, exposing users to unauthorized command injection attacks through unauthenticated HT …
    Read more


    Published Date:
    Jun 16, 2025 (5 hours, 32 minutes ago)

    Vulnerabilities has been mentioned in this article.

    CVE-2025-45988

    CVE-2025-45987

    CVE-2025-45986

    CVE-2025-45985

    CVE-2025-45984

    Source: Read More

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    Data-Driven Testing with Selenium WebDriver

    June 19, 2025

     
    Data-driven testing is a robust testing methodology that focuses on testing the functionality of an application using multiple sets of data. Instead of hardcoding input values and expected results, this approach separates test logic from the test data, enhancing reusability and maintainability. Selenium, being a popular automation tool, supports data-driven testing seamlessly when integrated with testing frameworks like TestNG or JUnit.
    In this blog, we’ll delve into the concept of data-driven testing, explore its benefits, and demonstrate how to implement it using Selenium with detailed coding examples.

    What is Data-Driven Testing?
    Data-driven testing involves executing test scripts multiple times with different sets of input data. The test data is typically stored in external sources such as:

    Excel files

    CSV files

    Databases

    JSON or XML files

    This approach is particularly useful for validating applications where the same functionality needs to be tested with various input combinations.

    Benefits of Data-Driven Testing

    Reusability: Test scripts are reusable for different data sets.

    Maintainability: Test logic is separated from test data, making maintenance easier.

    Scalability: Allows extensive test coverage with diverse data.

    Efficiency: Reduces redundancy in writing test scripts.

    Tools Required

    Selenium WebDriver: For browser automation.

    Apache POI: To read/write data from Excel files.

    TestNG/JUnit: For test execution and data provider functionality.

    Setting Up Your Project
    Add Dependencies
    Include the following dependencies in your pom.xml if you’re using Maven:<dependencies>
    <dependency>
    <groupId>org.seleniumhq.selenium</groupId>
    <artifactId>selenium-java</artifactId>
    <version>4.10.0</version>
    </dependency>
    <dependency>
    <groupId>org.apache.poi</groupId>
    <artifactId>poi</artifactId>
    <version>5.2.3</version>
    </dependency>
    <dependency>
    <groupId>org.apache.poi</groupId>
    <artifactId>poi-ooxml</artifactId>
    <version>5.2.3</version>
    </dependency>
    <dependency>
    <groupId>org.testng</groupId>
    <artifactId>testng</artifactId>
    <version>7.8.0</version>
    </dependency>
    </dependencies>

    Code Example: Data-Driven Testing Using Excel and TestNG
    Step 1: Create the Test Data
    Create an Excel file named TestData.xlsx with the following columns:

    Username
    Password

    user1
    pass1

    user2
    pass2

    Save this file in the project directory.
    Step 2: Utility Class to Read Excel Data
    Create a utility class ExcelUtils.java:import java.io.FileInputStream;
    import java.io.IOException;
    import org.apache.poi.ss.usermodel.*;

    public class ExcelUtils {
    private static Workbook workbook;
    private static Sheet sheet;

    public static void loadExcel(String filePath) throws IOException {
    FileInputStream fis = new FileInputStream(filePath);
    workbook = WorkbookFactory.create(fis);
    }

    public static String getCellData(int row, int column) {
    sheet = workbook.getSheetAt(0);
    Row rowData = sheet.getRow(row);
    Cell cell = rowData.getCell(column);
    return cell.toString();
    }

    public static int getRowCount() {
    return sheet.getLastRowNum();
    }
    }
    Step 3: Test Class with Data Provider
    Create a test class LoginTest.java:import org.openqa.selenium.By;
    import org.openqa.selenium.WebDriver;
    import org.openqa.selenium.WebElement;
    import org.openqa.selenium.chrome.ChromeDriver;
    import org.testng.annotations.*;

    public class LoginTest {

    WebDriver driver;

    @BeforeClass
    public void setup() {
    System.setProperty(“webdriver.chrome.driver”, “path_to_chromedriver”);
    driver = new ChromeDriver();
    driver.get(“https://example.com/login”);
    }

    @DataProvider(name = “loginData”)
    public Object[][] loginData() throws Exception {
    ExcelUtils.loadExcel(“TestData.xlsx”);
    int rowCount = ExcelUtils.getRowCount();
    Object[][] data = new Object[rowCount][2];

    for (int i = 1; i <= rowCount; i++) {
    data[i – 1][0] = ExcelUtils.getCellData(i, 0);
    data[i – 1][1] = ExcelUtils.getCellData(i, 1);
    }
    return data;
    }

    @Test(dataProvider = “loginData”)
    public void testLogin(String username, String password) {
    WebElement usernameField = driver.findElement(By.id(“username”));
    WebElement passwordField = driver.findElement(By.id(“password”));
    WebElement loginButton = driver.findElement(By.id(“login”));

    usernameField.sendKeys(username);
    passwordField.sendKeys(password);
    loginButton.click();

    // Add assertions here to verify login success or failure
    }

    @AfterClass
    public void teardown() {
    driver.quit();
    }
    }

    Best Practices for Data-Driven Testing

    Use External Data: Store test data in external files to reduce script changes.

    Parameterize Test Cases: Avoid hardcoding data in test scripts.

    Error Handling: Implement robust error handling for file operations.

    Optimize Performance: Load test data only once if possible.

    Clear Test Data: Ensure the test environment is reset before each run.

    Advantages of Data-Driven Testing with Selenium

    Flexibility: Easily test multiple scenarios by changing input data.

    Enhanced Coverage: Test edge cases by providing varied data sets.

    Reduced Redundancy: Write fewer scripts for multiple test cases.

    Conclusion
    Data-driven testing is a vital strategy for efficient and thorough test automation. By combining Selenium with tools like Apache POI and TestNG, you can create scalable and maintainable test suites that cover a wide range of scenarios. Implement this approach to enhance your testing process and ensure high-quality software delivery.

    Keywords: Data-Driven Testing, Selenium, TestNG, Apache POI, Automation Testing, Excel Integration, Test Automation Framework.

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