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

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://apples-care-service24p1.vercel.app/

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

, Ul ~ AppleCare+ Apple Customer Service 1-877-436-1949 Discover unparalleled assistance and support with Apple. Our devoted customer service team is at your beck and call, ready to address any i...

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:N/A

Other Hashes

Crop Resistant:080c4c4c074dcc00

Scan History

Scan history not available

Unable to load historical scan data