Detect Kaisa

Personalisation

Kaisa is a platform that leverages data to maintain buyer and seller engagement through personalised customer experiences on a large scale.

Detection looks at script sources across 1 fingerprint rules among the site's public responses.

01

Websites using Kaisa

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02

Signal classes

PluginView evaluates public page signals in these classes when identifying Kaisa. Individual fingerprint rule bodies are proprietary and are not published.

  • Script sources
03

Example public indicators for Kaisa

Illustrative indicators derived from public catalog metadata for Kaisa. A live scan may match additional proprietary rules beyond these examples.

  • .freespee.com/js/external/fs.min.?js
04

What a detection means

Establishes
One or more public signals on the scanned page matched a known Kaisa signature (1 rules) at the time of the scan.
Does not establish
A sitewide install of Kaisa, an active vendor contract, exclusive use, or that Kaisa is still in place today.
05

How to check a site for Kaisa

  1. 1. Enter the website URL in the scan form — homepage, pricing, checkout, or login pages usually expose the strongest Kaisa signals.
  2. 2. PluginView reads only public responses (script sources) and scores them against the Kaisa signature set (1 rules).
  3. 3. Review the confidence score and text explanation for Kaisa on the results page.
06

FAQ: detecting Kaisa

Can PluginView detect Kaisa without logging in?
Yes. PluginView only reads publicly accessible responses when checking for Kaisa — typically script sources. It does not bypass authentication or paywalls.
What category is Kaisa?
Kaisa is classified under Personalisation in the PluginView directory.
How many fingerprint rules cover Kaisa?
This reference currently tracks 1 fingerprint rule across script sources. Individual rule bodies are proprietary and are not published.
What public signals suggest a site uses Kaisa?
Illustrative public indicators for Kaisa include .freespee.com/js/external/fs.min.?js. A live scan may match additional proprietary rules beyond these examples.

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