Security Scan Report: apple-clone-hena.vercel.app

Redirected to:
https://apple-clone-hena.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 22 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://apple-clone-hena.vercel.app/

Effective URL:
https://apple-clone-hena.vercel.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 65%

3
Risk Score

Unauthorized Apple storefront clone on a free vercel.app subdomain using Apple's brand and copyright, but with no forms, no credential/payment capture and no malware — impersonation without harvesting.

Risk Factors (4)
Apple brand, artwork and copy reproduced on a domain that is not Apple's official domain
Shared-hosting subdomain with unknown creation date (parent apex age not attributable to this page)
Domain unranked in Cisco Umbrella (no reputation)
Cross-origin XHR to an unranked external host
Safety Factors (6)
No credential, login or payment forms present (verified form facts: 0 forms, 0 password fields, 0 payment fields)
No Indicators of Compromise, no YARA malware matches, no known phishing kit in the kit roster
All third-party scripts loaded from the site's own domain; no obfuscated JavaScript or behavioral signals
Page title 'Apple Clone' self-identifies it as a replica, reducing deceptive intent
No cross-origin credential exfiltration detected
Page presents itself as a developer clone/tutorial build of a well-known product and offers no sign-in, wallet, payment or download step — a practice project, not an impersonation attempt
Domain age information unavailable

Details

Page Title

Apple Clone

Scan Type

public

Domain Name Analysis

The domain name 'apple-clone-hena.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'apple-clone-hena'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Breaking it apart gives two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://apple-clone-hena.vercel.app/

Page Load Overview

1.41s
Total Load Time
797 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,419 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping85% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

e-commerce shopping
85%
documentation technical
36%
technology software
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
391.204.209.23United Kingdom
AS52148Enix Ltd
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
227--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195D2E532B698202707A31F9DBC14132E7EA7859FCA270D5966BD8F4A1F85F12DD1209F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SCAQllSfnYUZK+wDIXDFtwc6bZqyGgqI48KCqL36a+a6giOrI+boUi7J:Ss7fCK7ELwczmqDCqL36MiOCJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28333:ZAAZokGCQEkBA2KAgicBjJDl/SMzIJEhEw1IIgRQhAxHEPBtIUKCIGArQwQBQJAAQLWBhIqkiRAAMkSCJBAChxYkAETtAxgF

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:00ffe7ffffffffff
Perceptual Hash:f3777c594c621342
Difference Hash:8f004d0c14480c08
Wavelet Hash:00c2e7c3c3c3c3ef
Color Hash:#d0e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data