Showing 4 open source projects for "pcap call flow"

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  • 1
    WebExt Redux

    WebExt Redux

    A set of utilities for building Redux applications in Web Extensions

    A set of utilities for building Redux applications in web extensions. This package was originally named react-chrome-redux. webext-redux allows you to build your Web Extension like a Redux-powered webapp. The background page holds the Redux store, while Popovers and Content-Scripts act as UI Components, passing actions and state updates between themselves and the background store. At the end of the day, you have a single source of truth (your Redux store) that describes the entire state of...
    Downloads: 0 This Week
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  • 2
    Shipit

    Shipit

    Universal automation and deployment tool

    Install shipit command line tools and shipit-deploy in your project. Shipit is an automation engine and a deployment tool. Shipit provides a good alternative to Capistrano or other build tools. It is easy to deploy or to automate simple tasks on your remote servers. Shipit emits the init event once initialized, before any tasks are run. You can add custom event and listen to events. You can overwrite all default variables defined as part of the default object. If you can't call...
    Downloads: 0 This Week
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  • 3
    Xplico

    Xplico

    Xplico is a Network Forensic Analysis Tool (NFAT)

    Xplico is a Network Forensic Analysis Tool (NFAT). The goal of Xplico is extract from an internet traffic capture the applications data contained. For example, from a pcap file Xplico extracts each email (POP, IMAP, and SMTP protocols), all HTTP contents, each VoIP call (SIP, MGCP, MEGACO, RTP), IRC, WhatsApp... Xplico is able to classify more than 140 (application) protocols. Xplico cam be used as sniffer-decoder if used in "live mode" or in conjunction with netsniff-ng. Xplico is used also in CapAnalysis: http://www.capanalysis.net
    Downloads: 86 This Week
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  • 4
    Illustrated Algorithms

    Illustrated Algorithms

    Interactive algorithm visualizations

    Inspired by Grokking Algorithms and python-execution-trace, this project aims to reveal the mechanics behind algorithms via interactive visualizations of their execution. Visual representations of variables and operations augment the control flow, alongside actual source code. You can fast forward and rewind the execution to closely observe how an algorithm works. The same code that is displayed next to the illustration is also decorated using babel-plugin-trace-execution and executed to record the context at every step. Literally the same source file. Going back and forth between function execution (and call stack when algorithm uses recursion) is effortless. ...
    Downloads: 0 This Week
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