Security Scan Report: apple-online.shop

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Submitted: Sep 13, 2026, 9:48:09 AMCompleted: Sep 13, 2026, 9:50:56 AMpubliccompleted

Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is apple-online.shop and was registered 1 year 1 month ago.

Submitted URL: https://apple-online.shop

AI Security Verdict

High Risk

Confidence: 0%

7
Risk Score

AI analysis skipped: failed capture (browser never reached the site) with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

New Tab

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

The domain 'apple-online.shop' uses the commerce-oriented generic top-level domain (.shop) while skipping any subdomain. Count 12 characters in 'apple-online' with 5 vowels and 6 consonants, notching one hyphen. Tokenizing the label suggests 2 words: apple, online. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apple-online.shop

Page Load Overview

75.42s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:7 chars
Detector Agreement:0%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
74%
documentation technical
58%
e-commerce shopping
50%
adult content
38%
news media journalism
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
144.233.250.75Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
052.38.196.63United States
AS16509Amazon.com, Inc.
12--

Page Statistics

1
Requests
1
Unique Domains
0.0 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T178A33AF5A6FD539C508B87E5DB661864AF2E10FB3689C194712D9BF09F43898CB878C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cXfYIkPaAntbxf/N6cw15UxDTtt0xhfK6DV/J2fOJwNtIoDYeE21qI:KW2AZCxLDV/J2eNS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101134:G1EwGBJMgEQ+mDMIAITLUJGLDRQDMhWcGumIRATpilCQbZBaIgCAeA4AQjd6bnwCAIEIBkNwcCeiIDA0iCKJcDBnAVAIk+Uj

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:e6c7c3e7fffffffe
Perceptual Hash:f722558add88dd88
Difference Hash:080c1e0800000000
Wavelet Hash:fce5c0e40f0f0f0e
Color Hash:#3a786d

Other Hashes

Crop Resistant:080c1e0800000000

Scan History

Scan history not available

Unable to load historical scan data