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Malware Analysis Project

Overview

This project is a malware analysis tool designed to scan and detect suspicious code within files. It provides a framework for analyzing potential threats, identifying malicious patterns, and reporting on the findings.

Scope

The primary goal of this project is to develop a static and dynamic analysis engine to identify suspicious code constructs. This includes:

  • Static Analysis: Scanning files for known malware signatures, suspicious strings, and obfuscation techniques without executing the code.
  • Dynamic Analysis: Executing files in a sandboxed environment to monitor their behavior, including file system changes, network activity, and registry modifications.
  • Reporting: Generating detailed reports of the analysis, highlighting potential threats, and providing confidence scores.

Core Components

  • Scanner: The main engine for scanning files and directories.
  • Signature Database: A collection of known malware signatures.
  • Sandbox: An isolated environment for dynamic analysis.
  • Reporting Module: A tool for generating human-readable reports.

Technical Architecture Overview

The project is built on a modular architecture that allows for easy extension and maintenance. The core components are:

  • Frontend: A web-based interface for submitting files for analysis and viewing the results. (To be developed)
  • Backend API: A RESTful API that exposes the core functionality of the malware analysis engine.
  • Worker Nodes: A cluster of worker nodes that perform the actual analysis of the files. This allows for parallel processing and scalability.
  • Database: A database for storing file hashes, analysis reports, and malware signatures.

For a more detailed breakdown of the architecture, please see the docs/architecture.md file.

Feature Roadmap

Version 1.0 (Current)

  • Basic static analysis engine.
  • Signature-based detection.
  • Command-line interface.

Version 1.1

  • YARA rule integration.
  • Basic dynamic analysis in a sandboxed environment.
  • Web-based frontend.

Version 1.2

  • Advanced dynamic analysis (e.g., API hooking, memory analysis).
  • Machine learning-based detection.
  • Integration with external threat intelligence feeds.

Ethical Guidelines

This tool is intended for educational and research purposes only. It should not be used for any malicious activities. Users are responsible for their own actions and must comply with all applicable laws.

  • Do not scan files you are not authorized to access.
  • Do not use this tool to create or distribute malware.
  • Be aware of the potential risks of analyzing live malware samples.

Disclaimer

The developers of this project are not responsible for any damage caused by the use or misuse of this tool. Use at your own risk.

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