goodns | Google Suggestions Domain Interrogator
kandi X-RAY | goodns Summary
kandi X-RAY | goodns Summary
goodns is a Python library. goodns has no bugs, it has no vulnerabilities and it has low support. However goodns build file is not available. You can download it from GitHub.
This program interrogates Google Suggestions to passively discover sub-domains for a given domain. Currently there are two modes of operation:. Prefix brute-force mode uses a prefix length parameter -c to specify the length of the sub-domain prefix. Word list mode reads words from a file -w to specify the sub-domain prefix. You can search across many different Google TLDs using the -l parameter or search across all of the supported TLDs by excluding the parameter completely (not recommended). Be careful using this script aggressively. You will get banned by Google eventually if you don't take your time running it :).
This program interrogates Google Suggestions to passively discover sub-domains for a given domain. Currently there are two modes of operation:. Prefix brute-force mode uses a prefix length parameter -c to specify the length of the sub-domain prefix. Word list mode reads words from a file -w to specify the sub-domain prefix. You can search across many different Google TLDs using the -l parameter or search across all of the supported TLDs by excluding the parameter completely (not recommended). Be careful using this script aggressively. You will get banned by Google eventually if you don't take your time running it :).
Support
Quality
Security
License
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Support
goodns has a low active ecosystem.
It has 5 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
goodns has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of goodns is current.
Quality
goodns has no bugs reported.
Security
goodns has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
goodns does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
goodns releases are not available. You will need to build from source code and install.
goodns has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed goodns and discovered the below as its top functions. This is intended to give you an instant insight into goodns implemented functionality, and help decide if they suit your requirements.
- Searches for a domain .
- Generate a set of domains from a domain list .
- Scan domains using Google Cloud Search .
- Main entry point .
- Download Google supported domains .
Get all kandi verified functions for this library.
goodns Key Features
No Key Features are available at this moment for goodns.
goodns Examples and Code Snippets
No Code Snippets are available at this moment for goodns.
Community Discussions
No Community Discussions are available at this moment for goodns.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install goodns
You can download it from GitHub.
You can use goodns 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 goodns 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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