ScanMalware.com

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

Redirected to:
https://apples-service-care.vercel.app/
Submitted: Sep 3, 2026, 1:45:07 AMCompleted: Sep 3, 2026, 1:46:15 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/e0c93920-d043-4843-b9e6-1c17e233e03cDomain and IP registration (RDAP)/api/v1/rdap/e0c93920-d043-4843-b9e6-1c17e233e03cCertificate Transparency/api/v1/ct/apples-service-care.vercel.appHow often this domain was scanned/api/v1/domain/stats/apples-service-care.vercel.appScan history for this domain/api/v1/domain/history/apples-service-care.vercel.app?limit=15

This website contacted 4 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is apples-service-care.vercel.app and was registered 6 years ago.

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

Effective URL:

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site mimics Apple support but lacks any login or payment forms; brand impersonation on an unknown, unranked subdomain warrants moderate risk.

Risk Factors
Brand impersonation of Apple on an unknown‑age subdomain
Unranked domain with no reputation
Hosted on a free/shared platform (vercel.app)
Domain age information unavailable

Details

Page Title

Apple Customer Service

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.apples-service-care.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'www.apples-service-care'. The core label 'vercel' covers 6 characters split between two vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.74s
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
1216.198.79.67United States
AS16509Amazon.com, Inc.
1216.198.79.195United States
AS16509Amazon.com, Inc.
164.29.17.67United States
AS16509Amazon.com, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
44--

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:#862d5f

Other Hashes

Crop Resistant:080c4c4c074dcc00

Scan History

Scan history not available

Unable to load historical scan data