However, attackers could enter ‘Admin’- as the username field, leaving the password field empty. The application stores the credentials as variables, executing a command such as: sql = 'SELECT * FROM users WHERE username=''Visitor1'' AND password=''QWERTY123'''Įxecuting this statement signs in the user if the query returns a record. One common attack technique is SQL injection.įor instance, many web forms allow users to sign in with username and password textboxes and sign-in buttons. Various sophisticated exploits threaten web applications, but most threats arise from implicitly trusting user input. These features help protect web applications from common threats by enabling the following processes. In addition to the core features of Azure WAF, it’s important to understand how the firewall works. Azure WAF can help speed up this process, letting you configure an Azure Application Gateway instance or Azure Front Door profile in minutes. Protecting a web app against all vulnerabilities may take thousands of hours. However, creating and maintaining secure code can be a time-consuming, laborious endeavor. Web development teams often try to implement security measures against the top 10 web security vulnerabilities mentioned by the OWASP organization. Web Apps with Security Requirements and Budget Constraints Organizations using web apps that require users to sign in with credentials can employ Azure WAF to detect exploits like local file inclusion and SQL injections attempting to steal or display account credentials.

For example, actors can use compromised credentials to access a web app while impersonating an authorized user, run commands or scripts with stolen elevated privileges, access other network parts, or sign in to other services and sites. Many actors try to obtain account credentials, usually usernames and passwords, for various malicious purposes. Organizations running web apps that store proprietary or sensitive data can leverage Azure WAF to protect it against intrusion and exfiltration. However, the actors are more likely to hold data for ransom or sell it in a criminal marketplace. Perhaps the most common objective is gaining access to sensitive personal information like IDs and driver's license numbers, financial information like customer credit card numbers, proprietary information, and trade secrets.Īctors can use this information directly, for example, by purchasing goods with stolen credit card numbers. Most malicious actors have a specific objective when launching an attack. Here are common Azure WAF use cases: Web Apps with Sensitive or Proprietary Data

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