Security Scan Report: albinjoby-iphone15pro.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 2 domains to perform 41 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://albinjoby-iphone15pro.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 68%

5
Risk Score

Unofficial clone of Apple's iPhone 15 Pro page on a free vercel.app subdomain, copying Apple branding and copyright. No forms, payments, malware or threat-intel hits — trademark misuse, not an active scam.

Risk Factors (3)
Unauthorized reproduction of Apple's brand, product imagery text and copyright notice on a non-Apple domain (brand impersonation without forms)
Free shared-hosting subdomain with an unknown, potentially very recent creation date
No About/ownership disclosure distinguishing the page from Apple's official site
Safety Factors (4)
No login, registration, password or payment form on the page — nothing is harvested
No indicators of compromise, no malicious JavaScript, no obfuscated code or network sink
No redirects, no cross-origin form submission, no brand-name lure to an external data endpoint
Subdomain name suggests a personal/portfolio reproduction rather than a live storefront
Domain age information unavailable

Details

Page Title

Apple Iphone15 Pro

Scan Type

public

Domain Name Analysis

The domain 'albinjoby-iphone15pro.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'albinjoby-iphone15pro'. The core label 'vercel' covers 6 characters split between 2 vowels and four consonants. It segments into two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

ry Store Mac iPhone Support QaQg Iphone 15 Pro From $199/month or $999

Page Load Overview

0.89s
Total Load Time
30.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,855 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media54% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
54%
gambling betting
40%
technology software
38%
documentation technical
36%
news media journalism
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8142.251.150.120Google · CDNUnited States
AS15169Google LLC
8216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8142.251.156.120Google · CDNUnited States
AS15169Google LLC
8142.251.151.120Google · CDNUnited States
AS15169Google LLC
415--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2A275609262467B110305D9B1F2EB5AB1FEC349DB338D7CB3FC41A29BCDC68865A365

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:yWOpwSvnYOOTYBpHwpizB/pef5ogpT6uL/NX:7OpwSvnYOOTYBpHwkzB/8ogB6uL/5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21354:nBAATAACAKxRBg5BU4wggACYgVYPAXBIQSwisQhDUYBqChO9ggskGSAogGkSCAJrCSCAAogi8DJBADgATARQg5oeo6ecwVSE

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:0001617e7f010101
Perceptual Hash:8ac36d3e92d16969
Difference Hash:8111cbdcf9011131
Wavelet Hash:43196d7f7f011919
Color Hash:380000001c0

Scan History

Scan history not available

Unable to load historical scan data