A short history of web bots and bot detection techniques
10 months ago
- #web-security
- #automation
- #bot-detection
- Websites can detect bots by analyzing TCP and TLS fingerprints, IP reputation, and JavaScript execution.
- Bots can be detected through discrepancies in User-Agent headers, IP addresses from known cloud providers, and proxy usage.
- Advanced bot detection includes behavioral analysis, such as mouse movements, typing patterns, and interaction delays.
- Headless browsers like Chrome can be detected through specific properties and behaviors, though newer versions are harder to distinguish.
- Captchas, including behavioral and proof-of-work types, are used to challenge bots, though some can be bypassed via human-solving services.
- Behavioral analysis leverages AI to distinguish human-like interactions from bot-like efficiency and patterns.
- Proxy detection techniques include latency checks, WebRTC leaks, DNS leaks, and timezone mismatches.
- Orchestration frameworks like Selenium and Playwright introduce detectable patterns that can reveal automated browsing.