Magika Project Description

What is the project about?

Magika is an AI-powered file type detection tool that uses deep learning to accurately identify the content type of files.

What problem does it solve?

Magika solves the problem of accurately and efficiently identifying file types, even for ambiguous or complex file formats. It improves upon existing methods by using a deep learning model, resulting in higher precision and recall.

What are the features of the project?

• Accurate File Type Detection: Achieves 99%+ precision and recall in identifying over 100 content types (and 200+ with the new model).
• Fast Identification: Enables file identification within milliseconds, even on a CPU.
• Lightweight Model: Employs a small, optimized Keras model.
• Multiple Interfaces: Available as a command-line tool (Rust), Python API, Rust API, and an experimental TFJS version.
• Batch Processing: Supports processing multiple files simultaneously for increased efficiency.
• Recursive Scanning: Scans directories recursively.
• Confidence Levels: Provides different prediction modes (high-confidence, medium-confidence, best-guess).
• Content-Type Thresholds: Uses per-content-type thresholds to determine prediction reliability.
• Open Source: The project is open-source, encouraging community contributions.

What are the technologies used in the project?

• Deep Learning: Custom Keras model (TensorFlow).
• Programming Languages: Python, Rust, JavaScript (TFJS).
• Packaging: PyPI (Python), npm (JavaScript), crates.io (Rust).
• Other: Docker.

What are the benefits of the project?

• Improved Security: Helps route files to the correct security scanners.
• Enhanced Content Policy Enforcement: Ensures files are handled according to appropriate policies.
• Efficient File Handling: Speeds up file processing workflows.
• Reduced Errors: Minimizes misidentification of file types.
• Open and Collaborative: Allows for community contributions and improvements.

What are the use cases of the project?

• Email Security: Routing email attachments to appropriate security scanners (e.g., Gmail).
• Cloud Storage Security: Identifying file types in cloud storage services (e.g., Google Drive).
• Web Browsing Safety: Enhancing safe browsing by detecting file types (e.g., Google Safe Browsing).
• Malware Analysis: Assisting in identifying potentially malicious files.
• Digital Forensics: Helping determine the content type of files in investigations.
• Content Management Systems: Categorizing and organizing files based on their type.
• Any application needing fast and accurate file type identification.