This project demonstrates how to use Natural Language Processing (NLP) with Part-of-Speech (POS) tagging to detect and prevent command injection attacks. The application is built with Flask and NLTK.
- POS Tagging Detection: Uses NLTK to analyze input text structure for command patterns
- Pattern Recognition: Identifies dangerous shell commands and operators
- Syntactic Analysis: Examines word relationships to detect potential command sequences
- Secure Input Handling: All user inputs are validated before processing