SOURCE-LINKED INTELLIGENCE
Fast And Accurate Text Content File Type Identification
A common requirement across organizations is to have a tool that can identify file types based on their contents, particularly in the cybersecurity domain where magic numbers and file extensions can not be trusted. While existing tools work well in practice, there is plenty of room for improvement either in terms of computational load and time for detection in the case of model based tools like Magika or in terms of accuracy of detection in the case of file parsing tools that use programming language constructs. In this study, we propose a neural network model for identification of types of te
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T04:31:12.000Z
First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.