Security Scan Report: sound-sonic.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 37 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://sound-sonic.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Thin self-branded headphone storefront on a free Vercel subdomain. No forms, no impersonation, no malware or phishing evidence; only unranked/unknown-age signals. Low risk.

Risk Factors (2)
Free platform subdomain with unknown actual creation date and no reputation ranking — weak prior only
Minimal site content and no visible business contact or policy pages
Safety Factors (5)
Self-branding matches the domain; no impersonation of another entity
No credential, login or payment forms present
No Indicators of Compromise, hunting rule, Safe Browsing or phishing/malware IDS hits
Stripe resources loaded, indicating a mainstream payment processor rather than a harvesting page
No obfuscated JavaScript or cross-origin credential handling detected
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 two vowels versus four consonants. Segmentation suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

9.91s
Total Load Time
683 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 media44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
44%
adult content
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
764.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
664.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
634.149.250.58Google · CDNKansas City, Missouri, United States
AS396982Google LLC
6146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
6216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
644.239.216.180Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
376--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147A2C66AFD32B83B13F5029E30CF37EA344B6156D2D1CE6473AC85742256DEB4936948

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:oMdLcwnsYj2R5cDWHb6RzbudmzbFFgPzbDvzb+PqzbNDBzbM2zbmXzb3rcWbAJ2M:TdAhYj23c6HUz8mzZFgPzXvzIqzBBzgG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22480:yYHAAG9BwAIWx+CrqcKCkWFFkZA0wgghgOYiQaGUAjcEFXgg5tpgOeAgIAAFAAQQAuwk4FAdARBDoWNTAogNDIrjVkOGBCKD

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:#4e1f93

Scan History

Scan history not available

Unable to load historical scan data