They must be buying a database of IP address locations and VPN addresses from somebody. I doubt they are putting that together themselves.
They must be buying a database of IP address locations and VPN addresses from somebody. I doubt they are putting that together themselves.
I hope each person it happens to requires a charge back. It should cause netflix enough of an issue that they go back to focusing on the customer.
- being a tall bald dude (19yo at the time)
- wearing his Bundeswehr uniform (as a conscript on his way home for weekend leave)
Apparently that appearance wasn't enough to make it obvious he was a little older than 12.
Anyway, at least I didn't have to go through that conscription BS since I didn't reach 18 until after the "abeyance" in 2011. The equipment/supply problems and ever shortening training/service time for conscripts (last before the abeyance was 6 months total) make it no wonder that the Bundeswehr is sometimes mocked as "Deutschlands größter Trachtenverein" ("Germany's biggest costume club").
The AK my father and grandfather used in the NVA instead was a real wartime weapon, rugged, dependable and able to be produced in mass quantities relatively cheaply. The G36 instead is apparently expensive, fragile and not that accurate, ie. more of a showpiece.
It’s better to pissing a few people off but still have a license, than lose your license and thus have nothing to serve your customers. Which is just as true for pubs and bars as it is for video streaming services. And content owners know this too, which is why they can place such heavy demands on 3rd party platforms.
The most ubiquitous and unblockable form of VPN is international cellular roaming. (While roaming, all traffic is tunneled back to the home carrier and blends in with their traffic.)
Of course, it's the most tedious VPN. It's also the most expensive. But what subset of traffic actually needs to go over the VPN? Like authentication and bot detection, these types of checks tend to be too expensive to perform on every request to every service endpoint.
Couldn't they just buy a subscription to all the largest VPN providers and just run through the server list making a note of each server?
They can even let VPN users map the servers for them in the data collection phase. Look at the usage graph and you'll find a cluster of accounts that jump between the same cluster of IPs.
Or likely anyone on CGNAT for their home internet, I don't think this would be a reliable detection method.
For an Airbnb you’d have the accounts change frequently but seldom multiple account from the same IP. Whereas a BPN would see the same accounts frequently but with many overlapping accounts from the same IP.
Similarly with hotels you’d see the overlapping of accounts per IP but less regularity of the same accounts.
This feels like one of those problems machine learning could help solve. Though there is a lot you can deduce just from good old fashioned rules. Eg some IP subnets are going to have a higher probability of hosting a VPN (eg those bought for AWS EC2) vs legitimate traffic over other IP subnets.
There are services that can detect most commercial VPN services, e.g. https://focsec.com
Bingo.
> They must be buying a database of IP address locations and VPN addresses from somebody. I doubt they are putting that together themselves.
Ehhh, I couldn't say. I mean, I could. But I won't.