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How to detect and block malicious web crawlers in 2025

Blog post from Fingerprint

Post Details
Company
Date Published
Author
Fingerprint
Word Count
1,382
Company Posts That Month
21
Language
English
Hacker News Points
-
Post removed?
No
Summary

Malicious web crawlers pose significant threats to online businesses by scraping content, overloading infrastructure, and facilitating fraud. Unlike legitimate bots such as Googlebot, these crawlers evade detection, disregard rules, and can lead to serious issues like content theft, price undercutting, and credential stuffing. They employ tactics such as user-agent spoofing, IP rotation, and headless browsers to mimic legitimate traffic, making traditional defenses like blocklists ineffective. To combat these threats, advanced detection methods such as device fingerprinting, behavioral analysis, and IP reputation scoring are essential. Fingerprint offers a solution by using a comprehensive set of browser and device signals to identify and block malicious activity while maintaining a seamless user experience for genuine visitors. This approach includes real-time bot detection, browser tampering alerts, and VPN detection, all of which contribute to a robust defense against automated attacks without disrupting legitimate users.

Trends Found in this Post
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Real-time 2 4,334 965 217 -7%
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