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

Redirected to:
https://apples-service-care.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.apples-service-care.vercel.app/

Effective URL:
https://apples-service-care.vercel.app/
Redirected

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 (5)
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 name 'www.apples-service-care.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.apples-service-care'. Count 6 characters in 'vercel' containing two vowels alongside four 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

, Ul ~ AppleCare+ Apple Customer Service o 1-877-884-3243) Discover unparalleled assistance and support with Apple. Our devoted customer service team is at your beck and call, ready to address an...

Page Load Overview

7.35s
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.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32--

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:N/A

Other Hashes

Crop Resistant:080c4c4c074dcc00

Scan History

Scan history not available

Unable to load historical scan data