Showing 4 open source projects for "linux malware detect"

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  • 1
    go-datastructures

    go-datastructures

    A collection of useful, performant, and threadsafe Go datastructures

    Go-datastructures is a collection of useful, performant, and threadsafe Go datastructures. Interval tree for collision in n-dimensional ranges. Implemented via a red-black augmented tree. Extra dimensions are handled in simultaneous inserts/queries to save space although this may result in suboptimal time complexity. Intersection determined using bit arrays. In a single dimension, inserts, deletes, and queries should be in O(log n) time. Bitarray used to detect existence without having to...
    Downloads: 0 This Week
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  • 2
    Interactsh

    Interactsh

    An OOB interaction gathering server and client library

    Interactsh is an open-source tool for detecting out-of-band interactions. It is a tool designed to detect vulnerabilities that cause external interactions. Interactsh Cli client requires go1.17+ to install successfully. interactsh-client with -sf, -session-file flag can be used store/read the current session information from user defined file which is useful to resume the same session to poll the interactions even after the client gets stopped or closed. Running the interactsh-client in...
    Downloads: 2 This Week
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  • 3
    cast

    cast

    safe and easy casting from one type to another in Go

    Cast is a Go library that provides easy and safe conversion (casting) between different types in Go programs. Especially when dealing with interface{} or dynamic/reflect-heavy code, it becomes cumbersome to assert types or convert values reliably; cast addresses that by offering a suite of functions to convert from any input to the target type with predictable behaviour. Rather than relying purely on raw type assertions, it offers ToInt, ToString, ToBool, ToTime, etc., and their...
    Downloads: 0 This Week
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  • 4
    smartcrop

    smartcrop

    smartcrop finds good image crops for arbitrary crop sizes

    smartcrop is an image processing library that automatically crops images to focus on the most visually important regions using content-aware algorithms. It analyzes images to detect areas of interest such as faces, edges, and high-contrast regions, ensuring that the cropped output retains meaningful content. The library is particularly useful for generating thumbnails or resizing images while preserving key visual elements. It supports different aspect ratios and can be customized to...
    Downloads: 8 This Week
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