The majority of the traffic on the web is from bots. For the most part, these bots are used to discover new content. These are RSS Feed readers, search engines crawling your content, or nowadays AI bo
Most often because they don’t download any of the css of external js files from the pages they scrape. But there are a lot of other patterns you can detect once you have their traffic logs loaded in a time series database. I used an ELK stack back in the day.
My experience is with systems that handle nearly 1000 pageviews per second. We did use a spread of haproxy servers to handle routing and SNI, but they were being fed offender lists by external analysis tools (built in-house).
Dang, I was hoping for a FOSS project that would do most of the heavy lifting for me. Maybe such a thing exists, idk, but it would be pretty cool to have a pluggable system that analyzes activity and tags connections w/ some kind of identifier so I could configure a web server to either send it nonsense (i.e. poison AI scrapers), zip bombs (i.e. bots that aren’t respectful of resources), or redirect to a honey pot (i.e. malicious actors).
A quick search didn’t yield anything immediately, but I wasn’t that thorough. I’d be interested if anyone knows of such a project that’s pretty easy to play with.
Not exactly what you asked, but do you know about ufw-blocklist?
I’ve been using this on my multiple VPSes for some time now and the number of fail2ban failed/banned has gone down like crazy. Previously, I had 20k failed attempts after a few months and 30-50 currently-banned IPs at all times; now it’s less than 1k failed after a year and maybe 3-ish banned at any time.
There was also that paid service where users share their spammy IP address attempts with a centralized network, which does some dynamic intelligence monitoring. I forgot the name and search these days isn’t great. Something to do with “Sense”? It was paid, but well recommended as far as I remember.
Edit: seems like the keyword is " threat intelligence platform"
How do you tell scrapers from regular traffic?
Most often because they don’t download any of the css of external js files from the pages they scrape. But there are a lot of other patterns you can detect once you have their traffic logs loaded in a time series database. I used an ELK stack back in the day.
That sounds like a lot of effort. Are there any tools that get like 80% of the way there? Like something I could plug into Caddy, nginx, or haproxy?
My experience is with systems that handle nearly 1000 pageviews per second. We did use a spread of haproxy servers to handle routing and SNI, but they were being fed offender lists by external analysis tools (built in-house).
Dang, I was hoping for a FOSS project that would do most of the heavy lifting for me. Maybe such a thing exists, idk, but it would be pretty cool to have a pluggable system that analyzes activity and tags connections w/ some kind of identifier so I could configure a web server to either send it nonsense (i.e. poison AI scrapers), zip bombs (i.e. bots that aren’t respectful of resources), or redirect to a honey pot (i.e. malicious actors).
A quick search didn’t yield anything immediately, but I wasn’t that thorough. I’d be interested if anyone knows of such a project that’s pretty easy to play with.
Not exactly what you asked, but do you know about ufw-blocklist?
I’ve been using this on my multiple VPSes for some time now and the number of fail2ban failed/banned has gone down like crazy. Previously, I had 20k failed attempts after a few months and 30-50 currently-banned IPs at all times; now it’s less than 1k failed after a year and maybe 3-ish banned at any time.
There was also that paid service where users share their spammy IP address attempts with a centralized network, which does some dynamic intelligence monitoring. I forgot the name and search these days isn’t great. Something to do with “Sense”? It was paid, but well recommended as far as I remember.
Edit: seems like the keyword is " threat intelligence platform"