How to add a custom tool to MultiScanner?

Write a Python module following the framework's structure, place it in the modules directory, and configure it via the config.ini file; refer to the 'Analysis Modules' documentation for templates and details.

MultiScanner vs VirusTotal: which is better for malware analysis?

MultiScanner is self-hosted and modular, ideal for custom tool orchestration and sensitive data, while VirusTotal is a cloud-based service with a vast database; choose MultiScanner for control and aggregation, VirusTotal for breadth and convenience.

Can MultiScanner be used for non-malware file analysis?

Yes, the framework is extensible to any domain, but you'll need to develop custom modules, as the maintained ones focus on malware; it supports integration with APIs or scripts for tasks like log parsing or data validation.

How to set up MultiScanner on Windows?

It's challenging as the installation scripts are Linux-focused; you might use Docker or a VM, but native support is limited, and configuration may require manual adjustments to Python dependencies and paths.

What are the performance implications of using MultiScanner in distributed mode?

It enables scalability for large volumes but adds overhead from network latency and resource usage for components like Elasticsearch; optimize by tuning task queues and storage based on your workload.

Is MultiScanner suitable for real-time scanning?

No, it's designed for batch analysis; for real-time needs, you'd have to build custom triggers or integrate it with monitoring tools, as the distributed workflow isn't optimized for low-latency responses.

Open-Awesome

MultiScanner

NOASSERTIONPython2.0.0

A modular file scanning and analysis framework that automates running a suite of tools and aggregates their output.

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What is MultiScanner?

MultiScanner is a modular file scanning and analysis framework that automates the process of running multiple analysis tools on files and aggregating their outputs. It helps users efficiently evaluate files by integrating custom scripts, web APIs, and remote software into a unified system. The framework is particularly useful for malware analytics but is designed to be adaptable to other file analysis domains.

Target Audience

Security analysts, malware researchers, and developers who need to automate and scale file analysis workflows, especially those dealing with large volumes of files requiring multiple scanning tools.

Value Proposition

Developers choose MultiScanner for its modular design, which allows easy integration of custom and third-party tools, and its scalable distributed architecture that supports high-volume analysis through a web interface, REST API, and distributed storage components.

Overview

Modular file scanning/analysis framework

Use Cases

Best For

Automating malware analysis pipelines with multiple scanning tools
Building scalable distributed file analysis systems
Integrating custom Python scripts into a unified analysis framework
Aggregating outputs from various security scanning APIs
Deploying a self-hosted file analysis platform with a web interface
Managing large-scale file evaluation tasks in security operations

Not Ideal For

Environments requiring quick, ad-hoc file scans without complex setup overhead
Projects that rely solely on Windows-based tools or operating systems
Use cases demanding immediate, real-time analysis results with minimal latency
Teams with limited infrastructure resources for distributed systems like Elasticsearch or GlusterFS

Pros & Cons

Pros

Modular Tool Integration

Easily incorporate custom Python scripts or web APIs by writing simple modules, as emphasized in the modular architecture for quick extensibility.

Scalable Distributed Workflow

Supports large-scale analysis with distributed components like GlusterFS for storage and Elasticsearch for reports, enabling handling of high file volumes.

Flexible Usage Modes

Offers command-line, Python API, and web interface options, allowing adaptation to various deployment scenarios from local scripts to full web-based systems.

Extensible for Security Focus

Includes maintained modules for malware analytics, providing a solid starting point for security teams while allowing expansion to other domains.

Cons

Complex Initial Setup

Installation varies by OS, with specific scripts for RedHat/Debian Linux and Docker requirements for the web interface, making it cumbersome for non-Linux or lightweight environments.

Limited Out-of-the-Box Modules

While extensible, the framework's current modules are primarily malware-focused, requiring custom development for other file analysis tasks like document scanning or data extraction.

Heavy Infrastructure Requirements

Distributed mode necessitates multiple services (e.g., Elasticsearch, RabbitMQ), which can be resource-intensive and overkill for small-scale or occasional use cases.

Frequently Asked Questions

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