---
title: "Detecting browser extensions for bot detection, lessons from LinkedIn and Castle"
url: https://daily.dev/posts/detecting-browser-extensions-for-bot-detection-lessons-from-linkedin-and-castle-nu1uxbkhl
source_url: https://securityboulevard.com/2026/01/detecting-browser-extensions-for-bot-detection-lessons-from-linkedin-and-castle/
type: article
source: "Security Boulevard"
published: 2026-01-14T10:50:48.357Z
updated: 2026-01-14T10:51:14.109Z
tags: ["javascript", "google-chrome", "web-security"]
reading_time: 14
upvotes: 0
comments: 0
language: en
---

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# Detecting browser extensions for bot detection, lessons from LinkedIn and Castle

**[Security Boulevard](https://daily.dev/sources/securityboulevard)** · 14 min read · 0 upvotes · 0 comments

## Summary

Browser extensions leave detectable traces that can serve as signals for bot detection systems. LinkedIn probes chrome-extension:// URLs to detect installed extensions by attempting to fetch web-accessible resources, but this creates console noise and performance overhead. Castle uses a stealthier approach by observing DOM mutations, custom elements, and JavaScript globals that extensions inject into pages. While neither method can enumerate all extensions, both provide valuable contextual signals when combined with other fingerprinting techniques. The side-effect approach trades detection breadth for reduced observability and better performance.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://securityboulevard.com/2026/01/detecting-browser-extensions-for-bot-detection-lessons-from-linkedin-and-castle/>

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---

Tags: [#javascript](https://daily.dev/tags/javascript), [#google-chrome](https://daily.dev/tags/google-chrome), [#web-security](https://daily.dev/tags/web-security)

[View this post on daily.dev](https://daily.dev/posts/detecting-browser-extensions-for-bot-detection-lessons-from-linkedin-and-castle-nu1uxbkhl)
