ecstatic-nobel/Aisle25 ? reverse-engineered prompt

Build me a Splunk app called Aisle25 that helps spot possible password leaks in Windows Security logs.

I want a simple dashboard where I can paste in a base search, use the default Windows log search if I do nothing, and then run it against a time range I choose. The app should show the raw matching log rows in one panel, and in another panel it should analyze the logon events to guess when a username was actually a password typed into the wrong field. It should look at failed logons first, use the user field to find likely high entropy strings, then connect that to later successful logons from the same source to suggest possible usernames and passwords.

Make it easy to install and use inside Splunk, and make the results clear enough that I could turn them into an alert for admins. If you need to check current Splunk docs or best practices while building it, go ahead and look them up online.