Architecture of an Anti-Bot Protection
summary
A presentation that explains anti-bot protection architectures for websites, APIs and mobile apps, detailing detection layers such as TCP/IP, TLS, HTTP/2 and browser fingerprinting. It describes how reputation scoring across those layers works, and outlines techniques attackers use to bypass those defenses.
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chapters (36)
- 0:00Introduction
- 1:12Web scraping origins
- 3:49Organic vs bot behavior
- 5:38Anti-bot systems analysis
- 6:26IP address fingerprinting
- 7:07Network protocol fingerprinting
- 8:08TLS and JS3 fingerprinting
- 9:58HTTP and headers fingerprinting
- 11:41JavaScript and GPU fingerprinting
- 13:27User behavior detection
- 15:12AI anti-bot algorithms
- 15:53Anti-bot limits
- 16:55Tuning anti-bot systems
- 17:59Key signals in commercial tools
- 18:24Anti-bot protection analysis
- 19:54Anti-bot system architecture
- 20:58Anti-bot tokens explained
- 21:19Payload encryption
- 22:43Site protection levels
- 23:05Incremental methodology
- 23:48Scraper optimization
- 24:34Proxy usage
- 25:39Browser emulation
- 26:22Advanced and residential proxies
- 27:52Bypassing detections
- 28:25Paid solutions and CAPTCHAs
- 29:26Scalable scraping architecture
- 31:18Long-tail vs major sites
- 32:02Payload deobfuscation
- 32:44Obfuscation techniques
- 33:53String obfuscation
- 35:22Code flow obfuscation
- 36:44Advanced obfuscation
- 37:29Detectable signals after deobfuscation
- 39:40Future protection trends
- 40:47Q&A
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