Security Scan Report: www.apples-care-service9p5.vercel.app

Redirected to:
https://apples-care-service9p5.vercel.app/
Submitted: Sep 24, 2026, 12:45:44 PMCompleted: Sep 24, 2026, 12:47:33 PMpubliccompleted

This website contacted 4 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is apples-care-service9p5.vercel.app and was registered 6 years ago.

Submitted URL: https://www.apples-care-service9p5.vercel.app/

Effective URL:

https://apples-care-service9p5.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Page impersonates Apple support on a non-Apple vercel.app domain and pushes a phone number, matching a tech-support scam; a single-source phishing threat-intel report and abuse-flagged hosting reinforce the risk.

Risk Factors (5)
Brand impersonation of Apple on an unrelated domain
Single-source phishing threat-intel report on the scanned domain
Only interaction offered is calling a third-party phone number
Free hosting subdomain with unknown creation date and no verifiable business identity
IDS alerts flagging the hosting platform as a commonly actor-abused cloud service
Domain age information unavailable

Details

Page Title

Apple Customer Service

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'www.apples-care-service9p5.vercel.app' is registered, featuring subdomain 'www.apples-care-service9p5'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.apples-care-service9p5.vercel.app/

Page Load Overview

1.81s
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

other91% confidence
Type: static
Method: ml+structural

All Detected Categories

other
91%
legitimate website
82%
malicious
59%
e-commerce
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
34--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13582C08EC3962148D596B6C82ECF77302F62DA87EB3CC0B4785CB0DC1F5A225914366E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7bo9kCKZ9S6Ou4PBDiKJKCpM/5sXWGwUAMOIXU:r4PBVBM/+mUAjSU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18665:EBApkWiAUp/SENIYQJAiRkRcgAAThEAAQkiARmAIiBCKKsCkwAQ4woIhE8APvlgwJ6ARssUqkCAgAmoRCKU+p6WEAZAMXYzI

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:#78763a

Other Hashes

Crop Resistant:080c4c4c074dcc00

Scan History

Scan history not available

Unable to load historical scan data