FroggyFrog | Remote access Trojan

by GDGSNF Python Version: v1.0 License: MIT

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

kandi X-RAY | FroggyFrog Summary

FroggyFrog is a Python library. FroggyFrog has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However FroggyFrog build file is not available. You can download it from GitHub.

malware program that includes a back door for administrative control over the target computer using Telegram.

Support

Quality

Security

License

Reuse

Support

FroggyFrog has a low active ecosystem.

It has 17 star(s) with 15 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

FroggyFrog has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FroggyFrog is v1.0

Quality

FroggyFrog has no bugs reported.

Security

FroggyFrog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

FroggyFrog 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

FroggyFrog releases are available to install and integrate.

FroggyFrog has no build file. You will be need to create the build yourself to build the component from source.

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FroggyFrog Key Features

No Key Features are available at this moment for FroggyFrog.

FroggyFrog Examples and Code Snippets

No Code Snippets are available at this moment for FroggyFrog.

Community Discussions

No Community Discussions are available at this moment for FroggyFrog.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install FroggyFrog

You can download it from GitHub.
You can use FroggyFrog 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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