{"position": 127, "domain_name": "amazon.dev", "date": "2025-07-10"}
Source: https://github.com/Quad9DNS/quad9-domains-top500/blob/main/t...
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{"position": 127, "domain_name": "amazon.dev", "date": "2025-07-10"}
Source: https://github.com/Quad9DNS/quad9-domains-top500/blob/main/t...
transmissionbt.com (A bittorrent client for macOS) is out ranking youtube, wikipedia, github, etc. Is transmission that popular? I assume its the auto-updater? Seems insane. https://github.com/Quad9DNS/quad9-domains-top500/blob/dfd513...
What is amazon.dev? Does not resolve for me. {"position": 127, "domain_name": "amazon.dev", "date": "2025-07-10"} Source: https://github.com/Quad9DNS/quad9-domains-top500/blob/main/t...
Looks like their customer support rep portal. Presumably there are not A/CNAME records at the top level, but na.headphones.whs.amazon.dev resolves.
Earlier quoted context omitted.
Probably some sort of command and control for a botnet. They calculate a random domain name based on the timestamp (so it’s constantly changing every X days in case it gets seized), and have some validation to make sure commands are signed (to prevent someone name squatting to control their botnet).
Wow, that's smart. I was wondering whether there is a way for the bots to generate "unpredictable" domains such that security researchers could not predict them efficiently (even with source code), but the botnet controller can. Time-lock puzzles come close, but but it requires that the bots have computing power comparable to the security researchers.
There is a fairly simple method which achieves the same advantage for a botnet controller.
1. Use a hash of the current day to derive, for that day, an infinite stream of domain names. This could be something as simple as `to_human_readable_domain(sha256(daily_hash + i))`.
2. A botnet slave attempts to access servers in a diagonal order over (days, domains), starting at the first domain for today and working backwards in days and forwards in domains. An image best describes what I mean by this: https://i.imgur.com/lcEbHwz.png
3. So long as one of those domains is controlled by the botnet operator (which can be verified using a signed response from the server), they can control the botnet.
This means that the botnet operator only needs to purchase one domain every couple of days to keep controlling their botnet, while someone trying to stop them will have to buy thousands and thousands every day.
And when you successfully purchase a domain you can publish the new domain to any connected slaves, so this scheme is only necessary for recruitment into the network, not continued control.
Earlier quoted context omitted.
Unless say, an adversary can link an obscure domain to a specific user/use case. Get that counter log and you can track a certain behavior (only pings this domain when about to do something or when on vacation, their house is empty, etc.)
The average burglar probably isn’t cross-referencing DNS statistics.
Earlier quoted context omitted.
I took a look at their privacy policy and agree that it doesn't specifically list that it logs which domains are being queried. It does list a bunch of things it does log as counters, all of which seems reasonable, but they don't explicitly say "we count which domains are being queried". That said, I think it's entirely reasonable for them to log domains alone if they're completely disconnected from any user activity…
Unless say, an adversary can link an obscure domain to a specific user/use case. Get that counter log and you can track a certain behavior (only pings this domain when about to do something or when on vacation, their house is empty, etc.)
Just for fun I have added some of these into my cron job.
example.com #17 ?
By almost every metric this is one of the 10 busiest websites, and some sources are already putting it in the top 5.
Are they just disproportionately not using Quad9?
I understand that there's a lot of overlap with Google having several spots in the top 50 itself, several being infrastructure like cloudflare and akamai, and several others being malware - but it still seems surprising.
It's just kind of shocking to see Slack, Zoom, LinkedIn, and even DropBox, Roku, and Yandex much higher up.