517 Domains + weights & implementation for Email Gen | Password Gen Increased In Randomness | Error Handling

[B1GBOOM420]

This will address issue #20

• includes 140+ domains with extensions
• updated password generation to add randomness so its harder to detect

I'm happy to be able to contribute to this project!

Thanks for the opportunity

[B1GBOOM420]

• Include over 400+ domains with extentions 👍

[B1GBOOM420]

includes updates for the following pull requests
#6
#7
#12
#18

It won't let me tag you guys - HUGE shout out to everyone for their contributions!

[B1GBOOM420]

I hope this helps in cleaning up the issues and some PR's! @CybrZone

Thanks again for making this a community project - I haven't coded this much in years lol

[PanosoikoGr]

@B1GBOOM420 I have found a great way to change ip with a python lib, I just did a pull request, the code is not tested but the consept is there(I dont have a url I can run the script to test it...)

[BRICKRAID]

What did you use to decide the weights of email domain selection choice? In PR #14 I used millions of users published by each.

[B1GBOOM420]

I asked chat GPT to estimate based off the same idea of per/million BUT I found in testing that it was aggressively avoiding the odd domains - so I did some manual updates to try and balance it out a tad more

[CybrZone]

Thanks @B1GBOOM420 , I merged it to main, there was a slight issue with the email list as @uber.co.uk was missing a comma , :) just for awareness.