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Fingerprint Bot Detection
Browser bot detection signal classifying traffic as good, bad, or human.

Fingerprint Bot Detection
Browser bot detection signal classifying traffic as good, bad, or human.
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Fingerprint Bot Detection Description
Fingerprint Bot Detection is a browser-based bot detection solution offered as a "Smart Signal" within the Fingerprint Pro Plus and Enterprise tiers. It identifies automated traffic, distinguishing between malicious bots, legitimate search engine crawlers, and human visitors in real time. The product is implemented via a lightweight JavaScript agent (available via CDN or NPM) and requires no additional code if Fingerprint's SDK or JS Agent is already installed. It returns a single API response with one of three classification values: - "Good" — the visitor is a known search engine or friendly crawler - "Bad" — the visitor is an automated tool or virtual machine - "Not Detected" — the visitor does not appear to be a bot The solution targets a range of automated threats, including automation frameworks (Selenium, Puppeteer, Playwright), bot farms using virtual machines, credential stuffing attacks, account takeover attempts, fraudulent purchases, content scraping, fake review generation, and infrastructure attacks. It also includes Web Bot Auth (WBAV v1.0.0), a feature that verifies RFC 9421 HTTP Message Signatures end-to-end, allowing users to validate bot identity claims from the browser or via curl. Cloud integrations allow bot detection logic to run at the edge and are fully open source. The product is documented with developer-focused guides and is designed to integrate into existing risk and fraud engines with minimal configuration.
Fingerprint Bot Detection FAQ
Common questions about Fingerprint Bot Detection including features, pricing, alternatives, and user reviews.
Fingerprint Bot Detection is Browser bot detection signal classifying traffic as good, bad, or human. developed by Fingerprint. It is a Application Security solution designed to help security teams with Bot Protection, Fraud Detection, Anti Fraud.
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