Security Scan Report: apples-care-service24p1.vercel.app

Submitted: Sep 5, 2026, 12:45:29 PMCompleted: Sep 5, 2026, 12:48:18 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

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

Risk Factors (3)
Brand impersonation on unknown‑age subdomain
Unranked domain
Hosted on a free subdomain platform
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), 'apples-care-service24p1.vercel.app' is registered; it also runs on subdomain 'apples-care-service24p1'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Segmentation suggests two 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-care-service24p1.vercel.app/

Page Load Overview

0.35s
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 blockchain78% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
78%
technology software
78%
government public service
77%
news media journalism
75%
documentation technical
71%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195United 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

T17882C09EC3862158D686B6C82DCB77302F63D687EB3CC4B8785CB0DC1F5A215954362A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7co9kCKZ9S6Ou4PBDiKJKCpM/5sXWGwUAMOJwU:q4PBVBM/+mUAjKU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18665:chIpkeBU2oJYUYRLSAIARASUgABLhGIAQsiARtBCClILJgbqBAnYwB6RF8KBjohyhyAJIuEDgOQlUioxrqQUIaIMl5YECIBI

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:#87a8c5

Other Hashes

Crop Resistant:080c4c4c074dcc00

Scan History

Scan history not available

Unable to load historical scan data