Anti-scam-toolkit | Program designed to calculate MMH3 Hashes

by D4RK-R4BB1T Python Version: Current License: No License

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kandi X-RAY | Anti-scam-toolkit Summary

Anti-scam-toolkit is a Python library. Anti-scam-toolkit has no bugs, it has no vulnerabilities and it has low support. However Anti-scam-toolkit build file is not available. You can download it from GitHub.

This was orginally "Anti_Drainer" But I have since renamed the directory to be a bit more fitting. This toolkit focuses on sniffing out lazy scammers webpages or anything for that matter by focusing on fav.ico & .html MMH3 Hashes & SSL Cert Hash fingerprints, It should allow you to easily use 2 IoT & Certicate Browsers more efficiantly and is user friendly. It's plug and play for those who have installed Python3.

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Quality

Security

License

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Support

Anti-scam-toolkit has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Anti-scam-toolkit has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Anti-scam-toolkit is current.

Quality

Anti-scam-toolkit has no bugs reported.

Security

Anti-scam-toolkit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Anti-scam-toolkit 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

Anti-scam-toolkit releases are not available. You will need to build from source code and install.

Anti-scam-toolkit has no build file. You will be need to create the build yourself to build the component from source.

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Anti-scam-toolkit Key Features

No Key Features are available at this moment for Anti-scam-toolkit.

Anti-scam-toolkit Examples and Code Snippets

No Code Snippets are available at this moment for Anti-scam-toolkit.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install Anti-scam-toolkit

You can download it from GitHub.
You can use Anti-scam-toolkit 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

Despite their being a bug with the .fav ico missprinting a direct shodan link, Tor is now supported but the proxy it uses shouldn't be trusted for everything. I Highly recommend avoiding sites dealing with Pedophila, Beastiality & Etc as this will download an .html or .fav ico & That can get messy quickly. to add Tor Support just apperhend the domain with .ly (.onion.ly) this allows the bypassing of those who'd otherwise not be able to use Tor Browser but since it's a clear-net proxy I wouldn't trust it with my Privacy & thus should only be used for easily accessing otherwise hard to each services. This also means other programs such as Dirsearch are now able to also storm the heavens & take down the gods.

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