Showing 4 open source projects for "c# source code example"

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  • Grafana: The open and composable observability platform Icon
    Grafana: The open and composable observability platform

    Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.

    Grafana is the open source analytics & monitoring solution for every database.
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  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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  • 1
    PoshC2

    PoshC2

    C2 framework used to aid red teamers with post-exploitation

    ...PoshC2 is primarily written in Python3 and follows a modular format to enable users to add their own modules and tools, allowing an extendible and flexible C2 framework. Out-of-the-box PoshC2 comes PowerShell/C# and Python2/Python3 implants with payloads written in PowerShell v2 and v4, C++ and C# source code, a variety of executables, DLLs and raw shellcode in addition to a Python2/Python3 payload. These enable C2 functionality on a wide range of devices and operating systems, including Windows, *nix and OSX. Shellcode containing in-build AMSI bypass and ETW patching for a high success rate and stealth. ...
    Downloads: 1 This Week
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  • 2
    VENOM C2 shellcode

    VENOM C2 shellcode

    C2 shellcode generator/compiler/handler

    The script will use msfvenom (metasploit) to generate shellcode in different formats ( C# | python | ruby | dll | msi | hta-psh | doc | apk | macho | elf | deb | mp4 | etc ) injects the shellcode generated into one template (example: python) "the python function will execute the shellcode into ram" and uses compilers like gcc (gnu cross compiler) or mingw32 or pyinstaller to build the executable file. It also starts a handler to receive the remote connection (shell or meterpreter) venom...
    Downloads: 0 This Week
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  • 3
    SHAD0W

    SHAD0W

    A post exploitation framework designed to operate covertly

    It uses a range of methods to evade EDR and AV while allowing the operator to continue using tooling and tradecraft they are familiar with. Its powered by Python 3.8 and C, and uses Donut for payload generation. By using Donut along with the process injection capabilities of SHAD0W, it provides the operator the ability to execute .NET assemblies, DLLs, EXEs, JS, VBS or XSLs fully inside the memory. Dynamically resolved syscalls are heavily used to avoid userland API hooking, anti-DLL...
    Downloads: 0 This Week
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  • 4
    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: 1 This Week
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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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