ScanMalware.com

Security Scan Report: www.apples-service-care21p1.vercel.app

Redirected to:
https://apples-service-care21p1.vercel.app/
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/e3b8652b-f066-49cd-a0b6-06b1c95584c7Domain and IP registration (RDAP)/api/v1/rdap/e3b8652b-f066-49cd-a0b6-06b1c95584c7How often this domain was scanned/api/v1/domain/stats/apples-service-care21p1.vercel.appScan history for this domain/api/v1/domain/history/apples-service-care21p1.vercel.app?limit=15
This website contacted 4 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.apples-service-care21p1.vercel.app/

Effective URL:
https://apples-service-care21p1.vercel.app/
Redirected

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 domain age.

Risk Factors (3)
Brand impersonation of a major company
Unranked / low‑reputation domain
Unknown creation date of sub‑domain
Domain age information unavailable

Details

Page Title

Apple Customer Service

Scan Type

public

Domain Name Analysis

The domain name 'www.apples-service-care21p1.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.apples-service-care21p1'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside four consonants. Word splitting yields 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 1-877-556-8927 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

1.21s
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 blockchain82% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
82%
technology software
78%
documentation technical
77%
government public service
74%
news media journalism
74%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131United States
AS16509Amazon.com, Inc.
164.29.17.3United States
AS16509Amazon.com, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
1216.198.79.131United 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

T10582D05EC3862158D586B6C82DCFB3302F72D687EB2CC4B4795CB1DD0F5A252914322A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7+o9kCKZ9S6Ou4PBDiKJKCpM/5sXWGwUAMObK8:M4PBVBM/+mUAj+8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18664:chIoEIDVmJ+SUYRLCAIgREScDAEagEIAAAiAoiAICniIAkZChIhAwj6yBmCHuBgyjwAUtuADAMQtUCBg7jE+JSMIl7IEUIiA

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