Search Results for "sourcecode for network monitoring system"

Showing 4 open source projects for "sourcecode for network monitoring system"

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    Silverware is an enterprise-grade hospitality platform built for hotels, resorts, and complex multi-venue operations.

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    The CRM you will want to use every day

    With CRM, Sales, and Marketing Automation in one, Act! gives you everything you need for happier clients, more revenue, and less stress.

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  • 1

    pcapfix

    repair corrupted pcap and pcapng files

    this tool tries to repair your broken pcap and pcapng files by fixing the global header respectively packet blocks and recovering the packets by searching und guessing the packet headers or blocks
    Downloads: 14 This Week
    Last Update:
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  • 2
    OpenLLDP is an Open Source implementation of the IEEE standard 802.1AB Link Layer Discovery Protocol (LLDP). The OpenLLDP project aims to provide a comprehensive implementation of IEEE 802.1AB to help foster adoption of the LLDP protocol.
    Downloads: 4 This Week
    Last Update:
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  • 3
    A LDAP based cluster control system that allows the deployment and administration of heterogeneous clusters. An extremely generic framework designed to be extended as required by administrators for each cluster.
    Downloads: 0 This Week
    Last Update:
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  • 4
    viewstate is a decoder and encoder for ASP .Net viewstate data. It supports the different viewstate data formats and can extract viewstate data direct from web pages. viewstate will also show any hash applied to the viewstate data.
    Downloads: 2 This Week
    Last Update:
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  • Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes. Icon
    Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes.

    Track your GenAI risk, run multichannel deepfake simulations, and engage employees with incredible security training.

    Assess how your company's digital footprint can be leveraged by cybercriminals. Identify the most at-risk individuals using thousands of public data points and take steps to proactively defend them.
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