The deadliest poison known to AI
  • Rust 87.5%
  • Lua 7.2%
  • Nix 2.4%
  • Fennel 1.2%
  • Shell 1.1%
  • Other 0.6%
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Gergely Nagy 32f6ee090c
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qmk: Implement trusted-ips
The new setting (empty by default) lets one set up trusted IP addresses
that will *always* pass through. Useful when allow-listing services that
would otherwise get caught by iocaine for one reason or another.

Fixes #151.
2026-04-27 08:55:25 +02:00
.forgejo ci: Fix the clippy job 2026-03-07 01:29:26 +01:00
debian Merge branch 'iocaine-3.x' 2026-04-11 13:11:14 +02:00
examples Add an example Grafana dashboard for QMK 2026-03-20 18:48:45 +01:00
iocaine powder/vaccine: Support gc-interval 2026-04-07 15:30:01 +02:00
iocaine-label Update fennel & ai.robots.txt 2026-03-07 01:32:42 +01:00
iocaine-powder qmk: Implement trusted-ips 2026-04-27 08:55:25 +02:00
iocaine-table Make the firewall an optional feature 2026-03-14 11:15:23 +01:00
LICENSES Switch to upstream libnftables1-sys 2026-03-11 19:24:20 +01:00
nix Make builds with Lua disabled work a little more smoothly. 2026-03-24 11:02:29 -04:00
tests Make builds with Lua disabled work a little more smoothly. 2026-03-24 11:02:29 -04:00
.envrc Remove the date from copyright headers 2026-03-01 14:10:54 +01:00
.gitattributes Remove the date from copyright headers 2026-03-01 14:10:54 +01:00
.gitignore Remove the date from copyright headers 2026-03-01 14:10:54 +01:00
Cargo.lock Preparations for iocaine 3.4.0 2026-04-11 09:18:47 +02:00
Cargo.toml Preparations for iocaine 3.4.0 2026-04-11 09:18:47 +02:00
CHANGELOG.md Merge branch 'iocaine-3.x' 2026-04-11 13:11:14 +02:00
CONTRIBUTING.md Add a CONTRIBUTING.md 2026-03-14 18:53:49 +01:00
flake.lock nix: Update all inputs 2026-03-05 18:53:05 +01:00
flake.nix powder: Implement firewall support 2026-03-08 23:26:05 +01:00
justfile justfile: Add a crate-docs recipe 2026-03-31 08:50:24 +02:00
README.md README: Add a warning about breaking changes 2026-03-27 12:18:56 +01:00
REUSE.toml Add an example Grafana dashboard for QMK 2026-03-20 18:48:45 +01:00

iocaine

Build status Demo Documentation AI? Fuck no.

The deadliest poison known to AI.

Warning

This is the development branch of iocaine, and contains breaking changes, and will continue breaking unexpectedly. We recommend using the stable branch in production.

Iocaine is a defense mechanism against unwanted scrapers, sitting between upstream resources and the fronting reverse proxy. It is designed to significantly reduce the load caused by the relentless attack of the Crawlers (mostly originating from various AI companies) in a way that does not place undue burden on benign visitors. While iocaine does support presenting a proof-of-work challenge, that should be a last resort, and even if that path is taken, the challenge is inexpensive for the human visitor.

Originally, iocaine started as a garbage generator, a tarpit, a place where the reverse proxy routed unwanted visitors, so that they'd crawl an infinite maze of garbage. Since then, it grew into a more ambitious project, and includes a scripting engine that lets the iocaine-operator tell the software how to treat each incoming request. The idea remained similar, however: keep the crawlers in the maze, and let the backend serve the real content for benign visitors.

Unlike some similar tools, iocaine does not try to make the bad bots go away, it welcomes them, into an infinite maze of garbage. It does so, because that makes it possible to serve them poisoned URLs, which in turn, makes it possible to identify bad actors even if they come back piggy-backing on a real browser. By filling their queue with junk when they visit with their simpler collectors, we can capture the browser-based scrapers in the maze too.

The garbage generator in iocaine has been engineered to require as few resources as possible, to keep it cheap, pretty much on par with serving a static file from the filesystem. The goal is to have a tool that costs next to nothing for the operator, reduces the load on upstream services, and protects them from the crawlers, while having no (or at worst, very little) effect on legit visitors, but making life of crawler operators difficult at the same time.

For more information about what this is, how it works, and how to deploy it, have a look at the dedicated website.

Lets make AI poisoning the norm. If we all do it, they won't have anything to crawl.