Jamf-Attack-Toolkit | facilitate attacks against the Jamf macOS management

 by   FSecureLABS Python Version: Current License: No License

kandi X-RAY | Jamf-Attack-Toolkit Summary

kandi X-RAY | Jamf-Attack-Toolkit Summary

Jamf-Attack-Toolkit is a Python library typically used in macOS applications. Jamf-Attack-Toolkit has no bugs, it has build file available and it has low support. However Jamf-Attack-Toolkit has 2 vulnerabilities. You can download it from GitHub.

Suite of tools to facilitate attacks against the Jamf macOS management platform.
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            kandi-support Support

              Jamf-Attack-Toolkit has a low active ecosystem.
              It has 112 star(s) with 22 fork(s). There are 13 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 5 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Jamf-Attack-Toolkit is current.

            kandi-Quality Quality

              Jamf-Attack-Toolkit has 0 bugs and 19 code smells.

            kandi-Security Security

              Jamf-Attack-Toolkit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Jamf-Attack-Toolkit code analysis shows 2 unresolved vulnerabilities (0 blocker, 2 critical, 0 major, 0 minor).
              There are 3 security hotspots that need review.

            kandi-License License

              Jamf-Attack-Toolkit does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Jamf-Attack-Toolkit releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Jamf-Attack-Toolkit saves you 153 person hours of effort in developing the same functionality from scratch.
              It has 381 lines of code, 9 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Jamf-Attack-Toolkit and discovered the below as its top functions. This is intended to give you an instant insight into Jamf-Attack-Toolkit implemented functionality, and help decide if they suit your requirements.
            • Listen for temporary files .
            • Dump item list .
            • Listen for new arguments .
            • Do authentication .
            • Do authentication .
            • Parse the results from a string .
            • Print a debug message .
            • do ajax query
            Get all kandi verified functions for this library.

            Jamf-Attack-Toolkit Key Features

            No Key Features are available at this moment for Jamf-Attack-Toolkit.

            Jamf-Attack-Toolkit Examples and Code Snippets

            No Code Snippets are available at this moment for Jamf-Attack-Toolkit.

            Community Discussions

            No Community Discussions are available at this moment for Jamf-Attack-Toolkit.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Jamf-Attack-Toolkit

            You can download it from GitHub.
            You can use Jamf-Attack-Toolkit like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/FSecureLABS/Jamf-Attack-Toolkit.git

          • CLI

            gh repo clone FSecureLABS/Jamf-Attack-Toolkit

          • sshUrl

            git@github.com:FSecureLABS/Jamf-Attack-Toolkit.git

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