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980 points nkcmr | 1 comments | | HN request time: 0.208s | source
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sneak ◴[] No.27415684[source]
This story is kind of sad. I wonder why the operator didn't blacklist certain netblocks/ASNs who were abusing the service.
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thegeekbin ◴[] No.27415700[source]
Why punish a group for one bad actor?
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zootboy ◴[] No.27415744[source]
> There were many times where I saw a big traffic jump and I realized the traffic was coming from the same ASN, and likely from the same company. I tried reaching out to these companies when I saw it but they rarely ever replied. Some even became extremely hostile to my emails.

A hostile reply from a netblock operator seems like a perfectly valid reason to block their traffic.

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jeroenhd ◴[] No.27415830[source]
The problem is that you don't know what the source of the traffic is. It could be an incompetent network operator/sysadmin, but it could just as well be something like an IP camera that people bought in good faith. If you block the CGNAT system of an operator that has a hundred million subscribers because it all seems to come from a single IP range you know nothing about, you could be hurting innocent users with the block.

That being said, a service like this doesn't come with any guarantees and if it'd disappear from the net tomorrow, I wouldn't blame the author. Blocking is a perfectly valid solution to this problem, but assuming malice isn't always the right answer.

Were I in this situation, I'd rate limit networks per /24 (maybe even /16?) as much as I could, and work together with antivirus companies to help identify infections of malware known to use the service to discourage criminals from abusing the system. I wouldn't even bother hosting the site on IPv6 since those addresses are supposed to be public anyway. The author clearly has more patience than I do.

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1. pugz ◴[] No.27419013[source]
This raises something I've wondered for a while: is there a service or database that can give an indication of how many humans are behind a particular IP address? e.g. with CGNAT, there might be many thousands of people sharing a single IP. For some residential services, it might be 1-2 people.

It feels like this sort of data (even if only providing order of magnitude estimates) would help greatly with deciding on appropriate rate limits for small operators who don't have the time to research all the traffic they're receiving.