WebShell_AI

Security Research Project (by Nikhil Kumar)

Machine learning research and pattern detector for web shell backdoor identification.

Security ML

Research Field

Unlicensed / Public

License Status

Web Shell Backdoors

Target Threat

Direct Overview: WebShell_AI Specifications

•Project: WebShell_AI classified under Public Developer Project / Security Research.
•Relationship & Ownership: Security Research Project (by Nikhil Kumar).
•Delivered Scope: Feature extraction logic analyzing opcode entropy and obfuscation patterns, Detection algorithms targeting PHP web shell backdoors, Public research repository demonstrating AI-based vulnerability detection.
•Technology Architecture: Python, Machine Learning, Cybersecurity, AST Parsing.

01 · Project Architecture & Context

Overview & Purpose

WebShell_AI is an exploratory security research project designed to identify malicious web shells, PHP backdoors, and obfuscated eval payloads using structural code feature extraction and machine learning classification.

02 · Engineering Execution

Verified Delivered Scope

Feature extraction logic analyzing opcode entropy and obfuscation patterns
Detection algorithms targeting PHP web shell backdoors
Public research repository demonstrating AI-based vulnerability detection
Dataset preprocessing for server payload classification

Key Implemented Features

Feature extraction logic analyzing opcode entropy and obfuscation patterns

Detection algorithms targeting PHP web shell backdoors

Public research repository demonstrating AI-based vulnerability detection

Dataset preprocessing for server payload classification

Production Technology Architecture

PythonMachine LearningCybersecurityAST Parsing

Frequently Asked Questions

Trustoryx delivered end-to-end technical execution: Feature extraction logic analyzing opcode entropy and obfuscation patterns and Detection algorithms targeting PHP web shell backdoors.

The relationship is classified as: Security Research Project (by Nikhil Kumar).

Direct Communication Desk