Security Scan Report: apples-service-care.vercel.app

Submitted: Sep 19, 2026, 12:45:21 PMCompleted: Sep 19, 2026, 12:45:49 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake Apple support page on a free vercel.app subdomain, claims 'Apple Inc.' and pushes a call-back number. Google Safe Browsing and threat intel both flag it as phishing/social engineering.

Risk Factors
Impersonation of Apple's brand and copyright on a non-Apple hosting subdomain
Google Safe Browsing Social Engineering detection
Primary-domain phishing indicator from threat intelligence
Solicitation of phone contact to reach fraudulent 'Apple' support
Consumer-facing unranked subdomain on free hosting platform with no legitimacy signals (10/100)
Domain age information unavailable

Details

Page Title

Apple Customer Service

Scan Type

public

Domain Name Analysis

The domain 'apples-service-care.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'apples-service-care'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. It segments into 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apples-service-care.vercel.app/

Page Load Overview

0.51s
Total Load Time
14 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Text Length:725 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain81% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
81%
technology software
78%
news media journalism
77%
government public service
76%
documentation technical
72%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B82C09EC3862148E586B6C82DCF77302F63D687EB7CC4B4786CB0DC1F6A255914362A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7uo9kCKZ9S6Ou4PBDiKJKCpM/5sXWGwUAMO7q8:84PBVBM/+mUAjO8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18664:MgIpkOixmJOSEYZbSAIgRgRUCAASAAIAQoiAgmAIiHqICkLgxIFYwBagA8KHtBgwh6AFooQKkGQcUiBx7jEmJyGMl7YAWIwI

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:e7e7e7e700a5ffff
Perceptual Hash:a3b3dd6c0cb66309
Difference Hash:080c4c4c074dcc00
Wavelet Hash:e7e7e7000000e7ff
Color Hash:#ac6553

Other Hashes

Crop Resistant:080c4c4c074dcc00

Scan History

Scan history not available

Unable to load historical scan data