Dark Web patterns in structural patterns mining increases a number of issues (including a lot of unessential and avoidable information), which in turn boosts a many cybercrimes like illegal trade, child abusement, criminal activity, and unlawful online purchasing. Structural patterns of this study is the danger level of dark web mining is predicted using the Naive Bayes and Decision Tree algorithms. Using datasets from the ToR, a system forecasts the patterns. Because of the more variety of data, it might be difficult to analyse these illegal data in online. In order to investigate a current request for improving the structured data as a client profile, a technique for evaluating criminal conduct is required. Structural Patterns mining in the Dark Web forum contains multi-dimensional data sets that yield suspicious findings. Uncertain categorization outcomes are the root of this forum.

: Dark Web, ToR, RNN, SVM, Cyber Attacks