Summary
This website contacted 9 IPs in 3 countries across 4 domains to perform 45 HTTP transactions. The main domain is support.apple.com and was registered NaN years ago.
Submitted URL: https://support.apple.com/ja-jp
AI Security Verdict
Safe Website
Confidence: 95%
Official Apple support page with no security concerns.
Safety Factors
Details
Page Title
Apple サポート (公式)
Scan Type
public
Language
Japanese
Category
technology software
(90%)Domain Information
The domain name 'support.apple.com' uses the commercial generic top-level domain (.com) with subdomain 'support'. Its registrable label 'apple' stretches across 5 characters holding 2 vowels versus three consonants. Tokenizing the label suggests one word: apple. Most frequently, 'apple' shows up in Tagalog. Usage also turns up in English and Sinhala contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 5 | 17.8.130.25 | United States | AS714APPLE-ENGINEERING |
| 5 | 23.201.82.44 | Palermo, Sicily, Italy | AS6762TELECOM ITALIA SPARKLE S.p.A. |
| 5 | 23.35.236.212 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 5 | 2a02:26f0:3500:59a::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2a02:26f0:3500:58f::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2a02:26f0:3500:58b::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 17.8.130.144 | United States | AS714APPLE-ENGINEERING |
| 5 | 2a02:26f0:3500:591::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2a02:26f0:3500:590::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 45 | 9 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
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