gophish VS dejavu

Try referring to https://getgophish.com/ which is an open source phishing tool, which can be used to run a phishing campaign

For free, GoPhish. If you have a handsome budget, Lucy.

https://github.com/gophish/gophish/issues/586 Found via https://docs.getgophish.com/user-guide/installation

For my first phishing campaigns, i used Gophish and i had good results. It will allow you to create the email, the landing page and all the necessary stuff around it. You also have mail and page templates that you can use and customize. Personally, I prefer to push the customization so that the mails look like real mails sent internally https://github.com/gophish/gophish/

Phishing with https://getgophish.com/

If you have the know-how and a server to hang it on, GoPhish is open source and also very good. There's a bit of trading time for money in this -- as GoPhish requires more content creation. But it also means you can get very granular in the phishing examples you create.

This doesn't seem hard, you can use something like this to dwoanload the songs: https://stackoverflow.com/a/27481870/6151784 and something like this to calculate how much they match: https://github.com/worldveil/dejavu The question is would you create a (dedicated) server to do your work? Or your own pc? You could also create a very simple page where someone would paste you a YouTube profile URL and you would check all songs of this URL. Also to have a db and save information about the matching and which youtube profiles have alsready been checked. Something like that could work.

If you read the installation.md file it clearly states that it has only been tested on UNIX systems, so you might be on your own trying to get it to wor in windows.

Using neural networks seems complicated, did you tried audio fingerprinting? I have been using this audio fingerprinting library to power this anime song synchronization script. You can check Panako and dejavu too.

I want to say these few seconds match these few seconds from a different audio track. Using dejavu raw has overhead I do not need/want and hence I've been fiddling around with the fingerprint script. When modifying the global variables I can get better hits or worse hits, I will admit that even after reading there recommended article and many other sources, I can't find some good explanations about the mathematics behind the filtering after the specgram has been applied. As far as a I am aware we first apply filters to find/make fine points across the spectrogram after that we only check the distance between points along the time axis not the frequency or a hypotenuse (weird).

I used a repo called https://github.com/worldveil/dejavu to compare audio hashed fingerprints and distinguish the difference between them.