PyAuthenNTLM2 | authentication module for Apache
kandi X-RAY | PyAuthenNTLM2 Summary
kandi X-RAY | PyAuthenNTLM2 Summary
PyAuthenNTLM2 is a Python library. PyAuthenNTLM2 has no bugs, it has no vulnerabilities, it has build file available and it has low support. However PyAuthenNTLM2 has a Non-SPDX License. You can download it from GitHub.
PyAuthenNTLM2 is an authentication module for Apache. It validates a user by means of the NTLM protocol and a separate Domain Controller (or Active Directory server).
PyAuthenNTLM2 is an authentication module for Apache. It validates a user by means of the NTLM protocol and a separate Domain Controller (or Active Directory server).
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Quality
Security
License
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Support
PyAuthenNTLM2 has a low active ecosystem.
It has 54 star(s) with 38 fork(s). There are 9 watchers for this library.
It had no major release in the last 6 months.
There are 16 open issues and 5 have been closed. On average issues are closed in 26 days. There are 5 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of PyAuthenNTLM2 is current.
Quality
PyAuthenNTLM2 has 0 bugs and 0 code smells.
Security
PyAuthenNTLM2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
PyAuthenNTLM2 code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
PyAuthenNTLM2 has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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PyAuthenNTLM2 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.
PyAuthenNTLM2 saves you 533 person hours of effort in developing the same functionality from scratch.
It has 1248 lines of code, 102 functions and 11 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed PyAuthenNTLM2 and discovered the below as its top functions. This is intended to give you an instant insight into PyAuthenNTLM2 implemented functionality, and help decide if they suit your requirements.
- Parse a SessionSetup response
- Parse a DeriveL value
- Extract a token from a response message
- Parse an integer
- Calculate the length and length of a berobj
- Parse a payload
- Parse an octet string
- Parse Direct TCP transport
- Parse the negotiated negotiation protocol response
- Make a SMB session setup request
- Make a response token
- Create the SMB header
- Maketlv
- Make an octet string
- Make an eq value
- Add a transport header
- Make a negotiation request
- Parse a set header
- Make a boolean value
- Make an integer
Get all kandi verified functions for this library.
PyAuthenNTLM2 Key Features
No Key Features are available at this moment for PyAuthenNTLM2.
PyAuthenNTLM2 Examples and Code Snippets
No Code Snippets are available at this moment for PyAuthenNTLM2.
Community Discussions
No Community Discussions are available at this moment for PyAuthenNTLM2.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PyAuthenNTLM2
You can download it from GitHub.
You can use PyAuthenNTLM2 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 PyAuthenNTLM2 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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