Webshell Detection

Webshell detection focuses on identifying malicious scripts used by attackers to control compromised websites, a critical challenge in cybersecurity. Current research heavily utilizes artificial intelligence, particularly employing various neural network architectures and machine learning algorithms, to improve detection accuracy. A significant hurdle is the limited availability of comprehensive, publicly accessible datasets for training and evaluating these models, hindering the development of robust detection systems. Overcoming this data scarcity is crucial for advancing the field and improving the security of online systems.