Security Scan Report: sound-sonic.vercel.app

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Submitted: Sep 22, 2026, 10:50:03 AMCompleted: Sep 22, 2026, 10:50:27 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Small self-branded headphone shop on a vercel.app subdomain with no forms, no credential/payment capture, no Indicators of Compromise, and no impersonation. New/unranked, so treat with mild caution, but nothing malicious found.

Risk Factors
Hosted on a free shared subdomain (vercel.app) whose actual creation date is unknown — the parent platform's age is not attributable to this page
Domain is unranked / has no reputation and thin legitimacy signals (legitimacy score 10/100)
Storefront references a third-party brand (boAt) collection with no evident authorization details
Safety Factors
No credential or payment forms present anywhere on the page
Site displays its own brand consistent with its domain (self-branding, not impersonation)
No Indicators of Compromise, YARA malware matches, or known malicious kit signatures
Only reputable third-party resources loaded (Stripe, Sanity CDN)
No obfuscated JavaScript, no hidden password/card fields, no cross-origin data exfiltration
Domain age information unavailable

Details

Page Title

SoundSonic

Scan Type

public

Domain Name Analysis

You're looking at domain 'sound-sonic.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'sound-sonic'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sound-sonic.vercel.app/

Page Load Overview

2.96s
Total Load Time
610 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:635 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
45%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

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AS54113Fastly, Inc.
314--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A92B62AED32BD3B13F5019E308F37DA344B6156C1C1DA6473AC81B4326ADEB4E36948

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:sMdL3R5cDWHb6RzbudmzbFFgPzbDvzb+PqzbNDBzbM2zbmXzb3rcWbAJ2AmIucYY:PdL3c6HUz8mzZFgPzXvzIqzBBzg2zqXA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20223:yIAQTE0MYCAgyYIiAKBAsdAMIgYYNgACIwkJ6MhlxBGAAMAUsmXaBgI5AMQlHa6iDm2SAoBToJCBIRpcWMBBQJaIQcxAocK1

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:f793f391ffff81c1
Perceptual Hash:eea41b939368c479
Difference Hash:072727270b0b132b
Wavelet Hash:f781e181e7e781a1
Color Hash:#1f9327

Scan History

Scan history not available

Unable to load historical scan data