DomainClassifier | classify Internet domains/hostnames/IP addresses | Security library

 by   adulau Python Version: 1.4 License: No License

kandi X-RAY | DomainClassifier Summary

kandi X-RAY | DomainClassifier Summary

DomainClassifier is a Python library typically used in Security applications. DomainClassifier has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install DomainClassifier' or download it from GitHub, PyPI.

DomainClassifier is a Python (2/3) library to extract and classify Internet domains/hostnames/IP addresses from raw unstructured text files following their DNS existence, localization or attributes.
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            kandi-support Support

              DomainClassifier has a low active ecosystem.
              It has 63 star(s) with 7 fork(s). There are 9 watchers for this library.
              There were 4 major release(s) in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 758 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DomainClassifier is 1.4

            kandi-Quality Quality

              DomainClassifier has 0 bugs and 0 code smells.

            kandi-Security Security

              DomainClassifier has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              DomainClassifier code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              DomainClassifier 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

              DomainClassifier releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 275 lines of code, 13 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 DomainClassifier and discovered the below as its top functions. This is intended to give you an instant insight into DomainClassifier implemented functionality, and help decide if they suit your requirements.
            • Set the domain of the domain
            • Update the TLD list
            • Return a list of domain tlds
            • Return a list of domain names
            • Returns a set of ip addresses
            • Return the name of the origin
            • Exclude a domain
            • Return set of domains that match expression
            Get all kandi verified functions for this library.

            DomainClassifier Key Features

            No Key Features are available at this moment for DomainClassifier.

            DomainClassifier Examples and Code Snippets

            How To Use It
            Pythondot img1Lines of Code : 33dot img1no licencesLicense : No License
            copy iconCopy
            import DomainClassifier.domainclassifier
            
            c = DomainClassifier.domainclassifier.Extract( rawtext = "www.xxx.com this is a text with a domain called test@foo.lu another test abc.lu something a.b.c.d.e end of 1.2.3.4 foo.be www.belnet.be ht
            tp://www.ce  
            How To Use It,Sample output
            Pythondot img2Lines of Code : 19dot img2no licencesLicense : No License
            copy iconCopy
            ['www.xxx.com', 'foo.lu', 'abc.lu', 'a.b.c.d.e', '1.2.3.4', 'foo.be', 'www.belnet.be', 'www.cert.be', 'www.public.lu', 'www.allo.lu', 'www.eurodns.com', 'something-broken-www.google.com', 'www.google.lu', 'www.facebook.com', 'www.nic.ru', 'www.youpor  

            Community Discussions

            QUESTION

            Convolutional neural network throws ErrorTypeError: __init__() takes 1 positional argument but 2 were given
            Asked 2022-Apr-11 at 19:00

            I am passing a batch of 256 images x_s with the following dimensions [256, 3, 560, 448]. However I whenever i try to feed my images to the CNN i get the following error:

            ...

            ANSWER

            Answered 2022-Apr-11 at 19:00

            You need to create a Cnn object before you can pass data to it. You are calling the Cnn class constructor __init__, which expects no arguments, rather than the forward method for an instance of the Cnn class, which is what you actually want to do.

            Source https://stackoverflow.com/questions/71832588

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

            Vulnerabilities

            No vulnerabilities reported

            Install DomainClassifier

            [DomainClassifier](https://pypi.python.org/pypi/DomainClassifier/) is part of the pypi package. It can be installed using the pip command:.

            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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            Install
          • PyPI

            pip install DomainClassifier

          • CLONE
          • HTTPS

            https://github.com/adulau/DomainClassifier.git

          • CLI

            gh repo clone adulau/DomainClassifier

          • sshUrl

            git@github.com:adulau/DomainClassifier.git

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