Stop Guessing at Bot Detection—Deploy It This Afternoon
You shipped the feature. Traffic spiked. Then the logs showed it: thousands of requests from python-requests/2.31, headless Chrome fingerprints, and IP ranges belonging to hosting providers. Your generic WAF rules caught nothing. Rate limiting punished real users. And the attackers? They're still there, scraping pricing, hoarding inventory, skewing analytics.
You don't need another dashboard. You need code that works.
What's Inside
- Cloudflare Worker script — Header analysis, TLS fingerprinting (JA3/JA4), and behavioral heuristics in a single deployable file. No external dependencies. Runs at the edge in milliseconds.
- Detection modules you can extend — Modular functions for user-agent entropy, header ordering anomalies, cookie consistency, and request pacing. Drop in your own signals without rewriting the pipeline.
- Observability built in — Structured JSON logs ready for Workers Logpush, Datadog, or your SIEM. Every decision—allow, challenge, block—is traceable.
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Test harness & synthetic traffic generator — Validate rules locally with
wrangler devbefore they hit production. Includes a script to replay real attack patterns against your endpoint.
Who This Is For
- Backend engineers securing APIs, checkout flows, or gated content
- DevOps teams tired of tuning WAF regexes that break on legitimate traffic
- Anyone who's ever watched a scraper bypass
cf.bot_managementand thought there has to be a better way
Actionable Preview
# wrangler.toml snippet
[env.production]
vars = { BOT_THRESHOLD = "0.72", CHALLENGE_PATH = "/verify" }
Deploy. Set threshold. Watch the challenge rate climb while legitimate conversion stays flat. That's it.
Get the Toolkit
Production-hardened components. No subscription. No vendor lock-in. €16.99 — less than an hour of your debugging time.
AI-assisted content - reviewed by author.
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