WebDecoy

What it does

WebDecoy: Multi-Layer Bot Detection & Response Single-layer detection is broken. WebDecoy combines multiple layers so bypassing one triggers another. Client-side fingerprinting catches headless browsers. Server-side SDKs verify tokens and analyze TLS fingerprints. Honeypot traps catch what bots touch and humans don't. Every request gets scored. You decide: log, block, challenge, or redirect with integrations for WAFs, SIEMs, and webhooks. Try it now.

Stop AI scrapers with honeypot decoys, behavioral analysis, and an edge sensor that catches crawlers JavaScript can

Deception catches the bots your analytics miss. One actor identity follows them across every IP they rotate to. Invisible decoy links and fake API endpoints that no real visitor can reach. When one is touched you have a confirmed bot: not a score, not a guess. Zero false positives, by construction. Bot Scanner detects headless browsers, automation frameworks, and sophisticated bots that evade traditional detection: mouse entropy, interaction timing, canvas and WebGL signals. A one-click Cloudflare Worker that catches the crawl pass itself: Googlebot, GPTBot, ClaudeBot, and curl. The clients that never run JavaScript, and so were never visible to a page tag. JA4 TLS and device fingerprints…from webdecoy.com

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  IPDetective – An API for IP bot detection2022 · ipdetective.io · ▲68

  IPDetective collects data from about 60+ different sources such as official cloud provider endpoints and public VPN/Proxy/Tor/Bot net lists. Then aggregates this data into a fast and easy to use API that can be integrated into applications or scripts easily. IPDetective started as a hobby project for my other hobby projects :) and I decided to wrap a simple website around and offer it as a service. Let me know what your thoughts, if you find value in this service or if you have any feature requests.

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  An open source access logs analytics script to block bot attacks2025 · github.com · ▲37

  This is a small PoC Python project for web server access logs analyzing to classify and dynamically block bad bots, such as L7 (application-level) DDoS bots, web scrappers and so on. We'll be happy to gather initial feedback on usability and features, especialy from people having good or bad experience wit bots. *Requirements* The analyzer relies on 3 Tempesta FW specific features which you still can get with other HTTP servers or accelerators: 1. JA5 client fingerprinting (https://tempesta-tech.com/knowledge-base/Traffic-Filtering-b...). This is a HTTP and TLS layers…

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  Fingerprinting browser-impersonating bots w/o JavaScript (open spec)Mar 2026 · github.com · ▲6

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  I built an HTTP client that perfectly mimics Chrome 142Nov 2025 · github.com · ▲39

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