Summary
This website contacted 11 IPs in 2 countries across 4 domains to perform 53 HTTP transactions. The main domain is support.apple.com.
Submitted URL: https://support.apple.com/ja-jp/108318
Effective URL: https://support.apple.com/ja-jp/108318?device-type=iphoneRedirected
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate Apple support page with no security concerns.
Safety Factors
Details
Page Title
iCloud+プランをダウングレードまたは解約する - Apple サポート (日本)
Scan Type
public
Language
Japanese
Category
technology software
(86%)Domain Information
Domain 'support.apple.com' uses the commercial generic top-level domain (.com), featuring subdomain 'support'. Count 5 characters in 'apple' holding 2 vowels versus 3 consonants. Tokenizing the label suggests 1 word: apple. 'apple' most strongly signals Tagalog. Secondary signals appear in English and Sinhala. Net impression: Tagalog phrase with single-word simplicity.
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 |
|---|---|---|---|
| 13 | 17.253.57.210 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 4 | 17.253.57.198 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 4 | 184.30.208.98 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 4 | 17.8.130.144 | United States | AS714APPLE-ENGINEERING |
| 4 | 23.35.236.212 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 4 | 17.8.130.85 | United States | AS714APPLE-ENGINEERING |
| 4 | 2a01:b740:a10:f100::196 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 4 | 2a02:26f0:3500:584::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2a02:26f0:3500:59b::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 17.8.130.25 | United States | AS714APPLE-ENGINEERING |
| 53 | 11 | - | - |
Detected Technologies6
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
Other Hashes
Scan History
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