A modular file scanning and analysis framework that automates running a suite of tools and aggregates their output.
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.
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.
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.
Modular file scanning/analysis framework
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Easily incorporate custom Python scripts or web APIs by writing simple modules, as emphasized in the modular architecture for quick extensibility.
Supports large-scale analysis with distributed components like GlusterFS for storage and Elasticsearch for reports, enabling handling of high file volumes.
Offers command-line, Python API, and web interface options, allowing adaptation to various deployment scenarios from local scripts to full web-based systems.
Includes maintained modules for malware analytics, providing a solid starting point for security teams while allowing expansion to other domains.
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.
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.
Distributed mode necessitates multiple services (e.g., Elasticsearch, RabbitMQ), which can be resource-intensive and overkill for small-scale or occasional use cases.