Vulnerability detection in no-code platforms faces unique challenges primarily due to their high level of abstraction. A common mistake is overlooking configuration-based vulnerabilities, as traditional scanners are geared towards code and may miss misconfigurations in user-defined logic or platform settings. Furthermore, issues arise from unidentified risks in underlying third-party integrations and pre-built components, which often inherit their own security flaws. The opaque nature of the generated code can lead to a significant number of false positives or, more critically, false negatives, as scanners struggle to accurately interpret the platform's execution context. This often results in an incomplete security posture assessment because standard tools lack the necessary insight into platform-specific security models and data flow configurations. Effective detection requires specialized tools capable of understanding the visual programming paradigm and the platform's inherent security mechanisms. More details: https://yixing-teapot.org/lh9googlecontentwww/url?q=https://4mama.com.ua/