juniper-vpn-py | Python Juniper VPN Authenticator | VPN library

by russdill Python Version: Current License: LGPL-2.1

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | juniper-vpn-py Summary

juniper-vpn-py is a Python library typically used in Networking, VPN applications. juniper-vpn-py has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. However juniper-vpn-py has 3 bugs. You can download it from GitHub.

Connecting to a Juniper VPN requires the generation of a DSID token. Generating this token involves authentication and host checking. The juniper-vpn.py script performs authentication, and the tncc.py script performs host checking. The DSID token can then be passed to openconnect.

Support

Quality

Security

License

Reuse

Support

juniper-vpn-py has a low active ecosystem.

It has 93 star(s) with 77 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 1 have been closed. On average issues are closed in 2193 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of juniper-vpn-py is current.

Quality

juniper-vpn-py has 3 bugs (0 blocker, 0 critical, 2 major, 1 minor) and 40 code smells.

Security

juniper-vpn-py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

juniper-vpn-py code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

juniper-vpn-py is licensed under the LGPL-2.1 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

juniper-vpn-py 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.

juniper-vpn-py saves you 333 person hours of effort in developing the same functionality from scratch.

It has 799 lines of code, 52 functions and 2 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed juniper-vpn-py and discovered the below as its top functions. This is intended to give you an instant insight into juniper-vpn-py implemented functionality, and help decide if they suit your requirements.

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Initialize connection parameters .
Decode a time .
Decode a packet .
Process a command received from the server .
Decode a 0ce value from a buffer .
Decode a packed 16 - bit packet into a dictionary .
Decode Packet Packet .
Decode a 0ce4 packet .
Encode a single packet packet .

Get all kandi verified functions for this library.

juniper-vpn-py Key Features

No Key Features are available at this moment for juniper-vpn-py.

juniper-vpn-py Examples and Code Snippets

No Code Snippets are available at this moment for juniper-vpn-py.

Community Discussions

Trending Discussions on juniper-vpn-py

prevent expect from exiting on EOF

QUESTION

prevent expect from exiting on EOF

Asked 2017-Jan-25 at 02:28

I have an expect script that connects to a vpn using openconnect. The script works perfectly, except that I don't know how to keep openconnect alive once the password has been provided and expect has reached the EOF. I think I need to fork the process, but I need it to keep the password somehow. Here is my script

...

ANSWER

Answered 2017-Jan-25 at 02:28

You have to wait for the spawned process to finish before exiting the Expect scirpt or the spawned process may be killed prematurely. Try like this:

Source https://stackoverflow.com/questions/41835930

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

Vulnerabilities

No vulnerabilities reported

Install juniper-vpn-py

You can download it from GitHub.
You can use juniper-vpn-py 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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