arbol

Claude just ignores all of these decoy methods

This stuff doesn't work. The agents read the AST and just ignore dead code. Even replacing all your function names at build time with decoys makes the agent see the juxtaposition.

You need evil context as well as evil names, and then you need to run the evil code! Not an appropriate defense on client sites.

To stop deobfuscation at scale, you're better off serving so many bundles that mass scraping can't scale, as they cannot reliably deobfuscate your code. This forces them into the browser and it's behavioural analysis from this point onwards.

It identified mistakes in previous years' submissions which I now have to rectify.

I used Claude to automate my tax this year instead of my accountant and it was more accurate

How much is eye watering expensive roughly?

Yep curl cffi accurately spoofs JA4 for chrome. You need to detect client side as well.

It's to protect against scrapers that aren't running JavaScript. Makes it more costly for them.

This is already happening and it absolutely does let llms understand the page better. Search for JSON-LD

If you're getting hundreds of thousands of spam submissions then you probably need to pay for bot protection.

Why do you expect a high level of abuse? Blocking CIDRs of major cloud providers will stop the genuine ChatGPT/Claude traffic. For the other scrapers masquerading as them, just block the agents' user agents.

If you want the LLMs to refuse to scrape your site you could inject lots of encoded trigger words but this would probably affect your SEO score :)

> I'd like to increase bot traffic to around 100k hits per day to help test the filters. Any suggestions on how?

Start publishing content that AI crawlers want to read and you'll get absolutely hammered. Your site is pretty bare bones so maybe get an AI to rewrite it with more content, using SEO best practices and with AI agent parsing in mind.

It's not enough to use latency alone as the other commentor said. You need to look for repeat behaviour at scale. It's ML model time once these basic signals fail you.

Prosopo could cut out a lot of the residential proxy nonsense for you. We integrate with lambda@Edge / cloudfront workers / server side and perform analytics to detect residential proxy networks - at far less cost than DD or HUMAN.