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About this paper
Mingrui Ma, Lansheng Han, Chunjie Zhou
The authors review AI-based webshell detection, tracing its development from early experiments to more sophisticated methods. They organize studies by model type and input data, including source code, traffic, payloads, logs, and compiled instructions. The review identifies challenges in representation, long inputs, limited datasets, and generalization, concluding the field remains early-stage; it does not compare detectors on a common benchmark.
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