Detect Moast
Moast is a Shopify app that enables brands to leverage user-generated content for marketing and engagement purposes.
Detection looks at javascript globals, inline scripts across 2 fingerprint rules among the site's public responses.
01
Websites using Moast
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02
Signal classes
PluginView evaluates public page signals in these classes when identifying Moast. Individual fingerprint rule bodies are proprietary and are not published.
- JavaScript globals
- Inline scripts
03
Example public indicators for Moast
Illustrative indicators derived from public catalog metadata for Moast. A live scan may match additional proprietary rules beyond these examples.
- moast.mapUrl
- .moast.io
04
What a detection means
- Establishes
- One or more public signals on the scanned page matched a known Moast signature (2 rules) at the time of the scan.
- Does not establish
- A sitewide install of Moast, an active vendor contract, exclusive use, or that Moast is still in place today.
05
How to check a site for Moast
- 1. Enter the website URL in the scan form — homepage, pricing, checkout, or login pages usually expose the strongest Moast signals.
- 2. PluginView reads only public responses (javascript globals, inline scripts) and scores them against the Moast signature set (2 rules).
- 3. Review the confidence score and text explanation for Moast on the results page.
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FAQ: detecting Moast
- Can PluginView detect Moast without logging in?
- Yes. PluginView only reads publicly accessible responses when checking for Moast — typically javascript globals, inline scripts. It does not bypass authentication or paywalls.
- What category is Moast?
- Moast is classified under Marketing automation in the PluginView directory.
- How many fingerprint rules cover Moast?
- This reference currently tracks 2 fingerprint rules across javascript globals, inline scripts. Individual rule bodies are proprietary and are not published.
- What public signals suggest a site uses Moast?
- Illustrative public indicators for Moast include moast.mapUrl; .moast.io. A live scan may match additional proprietary rules beyond these examples.
