this post was submitted on 15 Dec 2024
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Privacy
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Buy a domain and set your email to catchall, then make a unique email for everything and don't fiddle with aliases.
There is no one-size-fits-all solution and there likely isn't a solution that works for everyone even in specific situations due to different threat models. Purchasing and using a custom domain is often listed as a good practice for maintaining a person's privacy. However, it can be even more detrimental to a person's privacy than just using a trusted email masking/forwarding service and trusted email provider. For example:
Please note that I am not saying that this is not a good option, but I just wanted to note some of the things that should be considered if a person decides to use a custom email domain to improve their digital privacy.
Which provider are you using? They don't all offer catch-all
I still have a 15 year old free Google workspace plan with that option, but I'm looking for an alternative, not excessively expensive
Previously Tuta (I don't recommend them, they're going down a path slow enshittification)
Now Disroot, which lets you use a custom domain with a catchall for a one time payment. https://disroot.org/en/perks
If you own the domain you can do everything. iCloud has a very generous 50gb plan for 1€ per month
Then you end up with an inbox full of drive-by spam to abuse/admin/aardvark/.. (insert dictionary here)../zack/ziggy.
I believe there are some services, including some selfhosted ones, that allow you to quickly create (and later delete) unique aliases.
That said, I was surprised that these dictionary spam attacks don't really happen all that much, at least based on my own experience. Most of the ambient drive-by spam my server receives targets email addresses belonging to domains I don't even own. Blocking those and a few Sieve scripts gets rid of 99% of spam for me.
Interestingly, there was one time I received spam to a bogus address belonging to my own domain: A while back, one of my actual email addresses got leaked (thanks Sega) and a few months later that address got copied into another dataset but with a typo, which I assume was caused someone using OCR.
Is this experience or conjecture?
Is that something you have experience with or are you just making up scenarios to pose as arguments?
Because I've been doing this for years and I don't have this issue. You could also just preemptively auto-trash anything that goes to those very common emails, but I don't and it's not an issue.