Showing 4 open source projects for "compile"

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  • 1
    thc-hydra

    thc-hydra

    Shows how easy it would be to gain unauthorized access to a system

    ...There are already several login hacker tools available, however, none does either support more than one protocol to attack or support parallelized connects. It was tested to compile cleanly on Linux, Windows/Cygwin, Solaris, FreeBSD/OpenBSD, QNX (Blackberry 10) and MacOS. However the module engine for new services is very easy so it won't take a long time until even more services are supported. Via the command line options you specify which logins to try, which passwords, if SSL should be used, how many parallel tasks to use for attacking, etc. ...
    Downloads: 61 This Week
    Last Update:
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  • 2
    Gobuster

    Gobuster

    Directory/File, DNS and VHost busting tool written in Go

    ...Since this tool is written in Go you need to install the Go language/compiler/etc. Full details of installation and set up can be found on the Go language website. Once installed you have two options. You need at least go 1.16.0 to compile gobuster.
    Downloads: 35 This Week
    Last Update:
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  • 3
    mssqlproxy

    mssqlproxy

    Toolkit aimed to perform lateral movement in restricted environments

    mssqlproxy is a toolkit aimed to perform lateral movement in restricted environments through a compromised Microsoft SQL Server via socket reuse. The client requires impacket and sysadmin privileges on the SQL server. The first step is to execute code in the SQL Server process context. As extended stored procedures are going to be deprecated in future versions of MSSQL, we pay attention to Microsoft recommendations and thus, use CLR assemblies instead.
    Downloads: 0 This Week
    Last Update:
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  • 4

    gxLibrary : C++ (CUDA+AMP+CPU)

    C++ library for easy simulations on any CUDA/AMP/CPU or remote PC

    Helps to program ( in C++) simulations or long-running calculations with many iterations. Easily write C++ code that is same as single-threaded ( or shorter and simpler) , and gxLibrary will compile and run that code as massive multi-threaded on any available GPU (CUDA/AMP) or CPU, either on local or remote PC. Write code functions once, just like they would be written for regular single-threaded cases - no need to write separate code for CUDA or AMP or CPU, or to modify code for parallel execution. No need for *any* knowledge about CUDA or AMP or even CPU multi-threading. ...
    Downloads: 0 This Week
    Last Update:
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