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

Submitted: Sep 3, 2026, 1:45:06 AMCompleted: Sep 3, 2026, 1:46:13 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

The page impersonates Apple without collecting credentials; moderate risk due to brand misuse and unknown subdomain age.

Risk Factors
Brand impersonation on an unranked subdomain
Unknown domain age (subdomain could be newly created)
Low legitimacy score (10/100)
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript or external links detected
No network IDS or threat‑intel matches
Domain age information unavailable

Details

Page Title

Apple Customer Service

Scan Type

public

Domain Name Analysis

Domain 'apples-service-care.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'apples-service-care'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Breaking it apart gives two words: ver, cel. Expect 3 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

0.30s
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
1216.198.79.195United States
AS16509Amazon.com, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
22--

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:#3a7378

Other Hashes

Crop Resistant:080c4c4c074dcc00

Scan History

Scan history not available

Unable to load historical scan data