This tweet by Ibtissam Hammadi highlights an automated approach to bypassing Web Application Firewalls (WAFs) using Python programming and fuzzing techniques. The focus is on creating automated tools that can test and discover vulnerabilities in WAFs by generating various payloads and input vectors to evade detection. Although the specific WAF vendor is not mentioned, the method seems applicable to multiple types of WAFs and vulnerabilities. The technique leverages fuzzing, which is a testing technique involving sending a wide range of unexpected or random data inputs to provoke a response from the WAF and observe potential bypasses. Using Python allows for scripting and automating the process, enabling efficient and faster identification of weaknesses in the WAF's filtering rules. This method can be valuable for bug bounty hunters, cybersecurity researchers, and penetration testers seeking to evaluate security controls of web applications and improve protection against various attack vectors including Cross-Site Scripting (XSS), SQL Injection (SQLi), Remote Code Execution (RCE), and others. The tweet emphasizes the use of automation and fuzzing as effective tools in the cybersecurity field for WAF evasion.