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

Redirected to:
https://apple-clone-hena.vercel.app/
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Submitted: Sep 22, 2026, 12:45:24 AMCompleted: Sep 22, 2026, 12:46:12 AMpubliccompleted

This website contacted 9 IPs in 2 countries across 6 domains to perform 23 HTTP transactions. The main domain is apple-clone-hena.vercel.app and was registered 14 years ago.

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

Effective URL:

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

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Unofficial Apple-mimicking clone page on an unranked vercel.app subdomain. No forms, no IoC, no malware; risk is limited to brand impersonation and untrusted hosting.

Risk Factors
Impersonation of a different entity's brand (Apple) on a domain unrelated to Apple
Unranked domain with no reputation in Cisco Umbrella top 1M
Content hosted on a cloud platform commonly abused for throwaway subdomains (vercel.app)
Safety Factors
No credential, login, or payment forms on the page (0 forms, 0 password fields, 0 payment fields)
No Indicators of Compromise, YARA malware patterns, or known phishing kit hits
No cross-origin credential exfiltration or obfuscated JavaScript behaviour detected
Apple Store links are inert placeholders ('#') and the page does not solicit data
Domain age information unavailable

Details

Page Title

Apple Clone

Scan Type

public

Domain Name Analysis

Domain 'www.apple-clone-hena.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.apple-clone-hena'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside 4 consonants. Splitting it apart reveals two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.54s
Total Load Time
218 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 shopping72% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

e-commerce shopping
72%
documentation technical
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.94Google · CDNUnited States
AS15169Google LLC
291.204.209.23United Kingdom
AS52148Enix Ltd
239--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C401258668A08095312056C43EE1F928DC55961B77446F1070B345B86FE8E935DFF9AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRo/2Ky7w5/Zuizesa1L12NUa8Z93b0ZMqsKW/V0qAEd1:hRYCi/ZuizQ1LAaZRgZmKW/V07E7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:817:AAAAAAQAAAAAAiAAAACBAAAAAAAIAAAAAAAAAAAIAAAAAgAgAAAABAAAAAAAIAAACAEAAAAAgQAAAgAAAAAABARAAEAAAgEA

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:#1f9370

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data