pyGPOAbuse | Partial python implementation of SharpGPOAbuse
kandi X-RAY | pyGPOAbuse Summary
kandi X-RAY | pyGPOAbuse Summary
pyGPOAbuse is a Python library. pyGPOAbuse has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Python partial implementation of SharpGPOAbuse by@pkb1s. This tool can be used when a controlled account can modify an existing GPO that applies to one or more users & computers. It will create an immediate scheduled task as SYSTEM on the remote computer for computer GPO, or as logged in user for user GPO. Default behavior adds a local administrator.
Python partial implementation of SharpGPOAbuse by@pkb1s. This tool can be used when a controlled account can modify an existing GPO that applies to one or more users & computers. It will create an immediate scheduled task as SYSTEM on the remote computer for computer GPO, or as logged in user for user GPO. Default behavior adds a local administrator.
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Security
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pyGPOAbuse has a low active ecosystem.
It has 145 star(s) with 22 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 2 have been closed. On average issues are closed in 25 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyGPOAbuse is current.
Quality
pyGPOAbuse has 0 bugs and 0 code smells.
Security
pyGPOAbuse has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pyGPOAbuse code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pyGPOAbuse is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
pyGPOAbuse 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.
Installation instructions are not available. Examples and code snippets are available.
pyGPOAbuse saves you 159 person hours of effort in developing the same functionality from scratch.
It has 395 lines of code, 18 functions and 6 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pyGPOAbuse and discovered the below as its top functions. This is intended to give you an instant insight into pyGPOAbuse implemented functionality, and help decide if they suit your requirements.
- Updates the extension names .
- Updates a scheduled task
- Initialize the task .
- Format a record .
- Parse a list of tasks .
- Update an attribute .
- Initialize the root logger .
- Get a SMB session .
- Connect to the LDAP server .
Get all kandi verified functions for this library.
pyGPOAbuse Key Features
No Key Features are available at this moment for pyGPOAbuse.
pyGPOAbuse Examples and Code Snippets
No Code Snippets are available at this moment for pyGPOAbuse.
Community Discussions
No Community Discussions are available at this moment for pyGPOAbuse.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyGPOAbuse
You can download it from GitHub.
You can use pyGPOAbuse 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.
You can use pyGPOAbuse 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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