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    CVE-2024-48509

    Learning with Texts (LWT) 2.0.3 is vulnerable to SQL Injection. This occurs when the application fails to properly sanitize user inputs, allowing attackers to manipulate SQL queries by injecting malicious SQL statements into URL parameters. By exploiting this vulnerability, an attacker could gain unauthorized access to the database, retrieve sensitive information, modify or delete data, and execute arbitrary commands.

    Last Modified: Jan 23, 2025
    Published: Oct 21, 2024

    CVE-2024-41572

    Learning with Texts (LWT) 2.0.3 is vulnerable to Cross Site Scripting (XSS). The application has a specific function that does not filter special characters in URL parameters. Remote attackers can inject JavaScript code without authorization. Exploiting this vulnerability, attackers can steal user credentials or execute actions such as injecting malicious scripts or redirecting users to malicious sites.

    Last Modified: Mar 18, 2025
    Published: Aug 21, 2024
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