{"id":147635,"date":"2025-11-07T17:12:02","date_gmt":"2025-11-07T15:12:02","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-opublikoval-magika-1-0-instrumentarij-dlya-opredeleniya-tipa-soderzhimogo-fajlov"},"modified":"2026-02-26T20:20:26","modified_gmt":"2026-02-26T18:20:26","slug":"google-opublikoval-magika-1-0-instrumentarij-dlya-opredeleniya-tipa-soderzhimogo-fajlov","status":"publish","type":"post","link":"https:\/\/prohoster.info\/da\/blog\/news\/google-opublikoval-magika-1-0-instrumentarij-dlya-opredeleniya-tipa-soderzhimogo-fajlov","title":{"rendered":"Google har offentliggjort Magika 1.0, et v\u00e6rkt\u00f8j til bestemmelse af filindholdstype","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Google har pr\u00e6senteret udgivelsen af v\u00e6rkt\u00f8jet Magika 1.0, der er designet til at bestemme typen af indhold baseret p\u00e5 analysen af de data, der findes i filen. Magika kan pr\u00e6cist identificere de programmeringssprog, komprimeringsmetoder, installationspakker, eksekverbare kode, typer af markup, lyd-, video-, dokument- og bildeformat, der anvendes i indholdet. V\u00e6rkt\u00f8jet relateret til projektet og den f\u00e6rdige maskinl\u00e6ringsmodel distribueres under Apache 2.0-licensen. Wrapperne er forberedt til sprog som Rust, Python, JavaScript\/TypeScript og Go. <\/p>\n

I mods\u00e6tning til lignende projekter, der bestemmer MIME-typen baseret p\u00e5 indhold, adskiller Magika sig ved at anvende metoder inden for maskinl\u00e6ring, ydelse<\/a> og pr\u00e6cisionen i sin bestemmelse. Modellen er tr\u00e6net ved hj\u00e6lp af Keras-rammen p\u00e5 100 millioner filpr\u00f8ver (datas\u00e6tst\u00f8rrelsen er over 3 TB) og underst\u00f8tter genkendelse af 200 datatyper med en n\u00f8jagtighed p\u00e5 mindst 99 %. Modellen er komprimeret i ONNX-format og fylder kun et par megabyte. Anvendelsen af metoder til dyb l\u00e6ring har muliggjort en 50 % stigning i pr\u00e6cisionsbestemmelsen sammenlignet med det tidligere anvendte system i Google, som var baseret p\u00e5 manuelt definerede regler. <\/p>\n

I Google-systemet bruges det til klassificering af filer i tjenester som Gmail, Drive, Code Insight og Safe Browsing under sikkerheds- og overholdelsestests. Der er sikret integration af Magika i platformene VirusTotal og abuse.ch som et led i den prim\u00e6re filtrering af filer f\u00f8r specifikke analyser udf\u00f8res. Den implementerede konfiguration af Magika i Googles infrastruktur muligg\u00f8r scanning af flere millioner filer pr. sekund og flere hundrede milliarder filer pr. uge. Efter download af modellen er tiden til at generere output 5 ms ved test p\u00e5 en CPU-kerne. Bestemmelsestiden afh\u00e6nger n\u00e6sten ikke af filens st\u00f8rrelse. <\/p>\n

For integrating Magika into your projects, a command-line utility, packages for Python, Rust, and Go, as well as a JavaScript library capable of running in a browser or in Node.js-based projects have been prepared. The command-line interface and API support batch operations, allowing multiple files to be checked in a single request. There is a recursive scanning mode for the entire contents of a directory and three prediction modes to adjust fault tolerance (high confidence, medium confidence, and best guess). <\/p>\n

Projektet blev oprindeligt udviklet p\u00e5 Python, men i forberedelsen til version 1.0 blev motoren til indholdsidentifikation genopskrevet i Rust, hvilket gjorde det muligt at opn\u00e5 h\u00f8jere ydeevne samtidig med at kodebeskyttelsen blev opretholdt. For at udf\u00f8re maskinl\u00e6ringsmodellen benyttes ONNX Runtime, og til parallel asynkron behandling af anmodninger anvendes biblioteket Tokio. P\u00e5 MacBook Pro (M4) muligg\u00f8r motorens ydeevne behandling af omkring 1000 filer pr. sekund. <\/p>\n

In addition to the new engine, the release of version 1.0 includes an increase in the number of supported types from about 100 to 200; the addition of a new command-line client written in Rust; improved accuracy in detecting text formats such as configuration files and code; and the rework of modules for Python and TypeScript to simplify their integration with other projects. Among the newly supported content types are formats used in machine learning and AI; programming languages Swift, Kotlin, TypeScript, Dart, Solidity (solidity), Web Assembly, and Zig; DevOps components (Dockerfiles, TOML, HashiCorp, Bazel build files, and YARA rules); SQLite databases; AutoCAD files (dwg, dxf), Adobe Photoshop (psd), and fonts (woff, woff2). Improved separation of code in C++ and C, JavaScript, and TypeScript.
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Kilde: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u0440\u0435\u043b\u0438\u0437 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f Magika 1.0, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0442\u0438\u043f\u0430 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u043c\u043e\u0433\u043e \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0438\u043c\u0435\u044e\u0449\u0438\u0445\u0441\u044f \u0432 \u0444\u0430\u0439\u043b\u0435 \u0434\u0430\u043d\u043d\u044b\u0445. 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[…]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-147635","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47 Google has released Magika 1.0, a toolkit for determining file content types | ProHoster","description":"Google has introduced the release of Magika 1.0, a toolkit designed for determining content type based on the analysis of the data present in the 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