Security Scan Report: ecommerce-build.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 35 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://ecommerce-build.vercel.app/

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Unknown-age Vercel subdomain carries a single-source phishing report and sells branded headphones at implausible prices with placeholder copy. No forms or credential capture on the page, so treat as an untrustworthy storefront and avoid purchases.

Risk Factors (4)
Single-source phishing report against the scanned domain itself
Unranked, unknown-age subdomain on a free hosting platform
Offers branded audio products at unrealistically low prices without any brand authorisation or disclosure
Throwaway placeholder content typical of a disposable storefront
Domain age information unavailable

Details

Page Title

Headphone Store

Scan Type

public

Domain Name Analysis

Domain 'ecommerce-build.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ecommerce-build'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus 4 consonants. Splitting it apart reveals two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

NJ Headphones Beats Solo Air Summer Sale =—= =— Best Selling Products Speakers of many variations Description Best headphones on the matket Earphones Boat Headphones Headphones Boat Eayphones Bo...

Page Load Overview

6.18s
Total Load Time
589 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Text Length:465 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media37% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
564.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
534.149.250.58Google · CDNKansas City, Missouri, United States
AS396982Google LLC
53.174.46.85Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
53.174.46.75Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
544.233.200.190Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
357--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E72A426E837BD7B02E502CD70EF33AF380F6156D1D19EA473A889B46295DDB0E26905

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:h1HBwnsYj3fv5cDW/bszbpGzzbM4zbXdzbtZzbZNzb2NLzbCSBzbM7br72AmvXi0:h1hhYj3fxc6/YzczzY4zLdzRZzlNzYL1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16868:AhGdACSoCgUUZSAAAoBCbZiznCtpyEGYFAVkEYSnQlNgApTL2DRqWzIwsQsYXaAYNCLAFEBREAgKGoNA21BCMKhYACQAhPIQ

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:f3838393ffff81c3
Perceptual Hash:ee867991926c916b
Difference Hash:272727270b0e2307
Wavelet Hash:f7818181e7ef81c3
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data