Summary
API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/375f2428-32f6-47e4-b99e-7a78680d8a62Domain and IP registration (RDAP)/api/v1/rdap/375f2428-32f6-47e4-b99e-7a78680d8a62Certificate Transparency/api/v1/ct/apple.comHow often this domain was scanned/api/v1/domain/stats/apple.comScan history for this domain/api/v1/domain/history/apple.com?limit=15This website contacted 6 IPs in 2 countries across 3 domains to perform 50 HTTP transactions. The main domain is apple.com and was registered 39 years ago.
Submitted URL: https://www.apple.com/
AI Security Verdict
High Risk
Confidence: 85%
7
Risk Score
Site mimics Apple branding but lacks reputable ranking; treat as high‑risk phishing.
Risk Factors (3)
Brand impersonation on an unranked domain
Cisco Umbrella ranking indicates low or no reputation
High confidence flag for typoesquatting/brand impersonation
Domain age information unavailable
Details
Page Title
Apple
Scan Type
public
Screenshot
Page Load Overview
34.42s
Total Load Time
4.4 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
HTML Lang Attribute:en-US
Text Length:37,404 chars
Detector Agreement:100%
Website Classification
Primary Category
technology software86% confidence
Type: dynamic
Method: ml+structural
All Detected Categories
technology software
86%
education learning
55%
finance banking
53%
e-commerce shopping
47%
corporate
35%
Detected Features
OG: website
Schema.org
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 146.75.123.6 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 8 | 184.30.229.61 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 8 | 17.8.136.126 | United States | AS714APPLE-ENGINEERING |
| 8 | 2a02:26f0:3500:590::1aca | Germany | Unknown |
| 8 | 2a04:4e42:8e::774 | Germany | Unknown |
| 8 | 2a02:26f0:3500:58b::1aca | Germany | Unknown |
| 67 | 6 | - | - |
Detected Technologies1
100%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focused
Specialized for malware detection and similarity analysis
T16F74076F6268103F6247CBCFE8097A14E15BA579DF9D60D9BA7E43323242EA0707BC15
ssdeep (Context Triggered Piecewise Hashing)
Context-aware
Detects similar content even with modifications
3072:/bmbWYzOeOUS9vt5L6tGeN1Y/ynKiMvHtBoXM:SbWYzOeOUS9vt5L6tG1
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:345793:AhmzASDgpAEAfQScIMhKFgiYSEMSZikLAeSM8SQMExQlh4sCBISgULUCojaL0ichAAaAAgICKERCYhNgwEkABKsIOEEQBQwQ
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:ff00000018383cff
Perceptual Hash:cb3cf5c3b112e509
Difference Hash:1a3110717161e94c
Wavelet Hash:ff190000383c3cff
Color Hash:#87adc5
Other Hashes
Crop Resistant:1a3110717161e94c,f1e18c84d1f1b880,31711179796169e9
Scan History
Scan history not available
Unable to load historical scan data