In the realm of cybersecurity, the assessment of network vulnerabilities remains a critical endeavor. This paper presents the design and implementation of a WiFi dumper and de-authentication tool aimed at enhancing network security evaluation methodologies. Leveraging Python programming language and readily available open-source libraries, the tool facilitates the collection of WiFi packets and enables de- authentication attacks on wireless networks. Through a comprehensive analysis of existing methodologies and tools, our solution offers enhanced flexibility, efficiency, and usability in assessing WiFi network vulnerabilities. The tool’s efficacy is demonstrated through practical experimentation, showcasing its ability to uncover potential security loopholes and aid in the formulation of robust defense strategies. This research contributes to the arsenal of cybersecurity professionals, offering a valuable resource for network security assessment and strengthening the resilience of wireless networks against malicious intrusions.