Edge Add-ons
1Versions
0Code reviewed

Not reviewed

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1 indicator

1 indicator
0 versions analysed

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What our analysis found

Quicksilver is not yet reviewed by Extension Auditor. It was last updated in April 2026.

Quicksilver

Quicksilver Edge extension security report

ID: hacidakkfmemkmkjlkleegmlajbnfoga

Supported Languages

🇺🇸US English

Extension Info & Metadata

Status
Active
Version
1.0.1
Size
0.25 MB
Rating
0.0/5
Reviews
0
Users
44
Type
Extension
Updated
Apr 17, 2026
Category
Search-tools
Price
Paid
Featured
No
Visibility
Listed
Mature
No
By Google
No
Trusted
No
This publisherTrack record
1extension
All still listed

Publisher Contextual Analysis

Author
Stanley Wu
Website
Visit
Extensions
1
Active
1
Obsolete
0
Listed
1
Unlisted
0
Users
44

Screenshots & videos

Screenshot 1
Screenshot 2
Screenshot 3

Install growth

Item
Type
Severity
Description
tabCapture
Permission
High
This permission captures content and audio from browser tabs. Rated High because it can record sensitive web content, capture form input, and monitor user interactions.
offscreen
Permission
High
This permission creates hidden browser documents with full DOM access. Rated High because it can run background operations invisibly, potentially executing malicious code without user awareness.
Contextual Risk Factors
Risk Factor
High
The following context increases the overall risk:• 25% increase: Unsafe code evaluation capabilities increase attack surface
Unsafe WebAssembly Execution
Risk Factor
High
This extension's CSP allows "wasm-unsafe-eval".
activeTab
Permission
Medium
This permission grants temporary access to the current tab. Rated Medium because it can access current page content when invoked, though limited to user-initiated actions.

1 indicator

1 indicator
0 versions analysed

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About this extension

Detect AI-generated music (audio) in browser using machine learning.

Read the publisher’s full description

This extension allows users to analyze music (audio) from any tab to identify AI-generated music. Our detector is a lightweight machine learning model based on the published results from Deezer’s research team, which identified artifacts found in Suno/Udio songs. This was the best performing approach we found in our research. Only 30 seconds of audio is needed, and the classification result is near instantaneous after 30 seconds. Version 1.0 is is able to accurately detect songs generated by both Suno and Udio 98% of the time, with a false positive rate of <0.02%.

User reviews

Extension files

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URLs
1

URLs

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No URLs found
No IP addresses found

1 indicator

1 indicator
0 versions analysed

Every finding is verified by a security analyst. Unlock the code evidence, indicators and version history.

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Version
Size
Verdict
Findings
Permhash
1.0.1
Latest
0.25 MBNot scanned—
5def17a616f4a735d4cb1a36a59e8da9d43b8fe1d69c15ce6fe2f11b63f3676c
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