Summary
This website contacted 63 IPs in 3 countries across 49 domains to perform 2 HTTP transactions. The main domain is hugkum.sho.jp and was registered 13 years ago.
Submitted URL: https://hugkum.sho.jp/357374
AI Security Verdict
Safe Website
Confidence: 92%
The page is a legitimate informational article with no phishing, malware, or scam indicators.
Safety Factors
Details
Page Title
「月食」とは？ 2024年はいつ？ 仕組みや日食との違いをわかりやすく説明 | HugKum（はぐくむ）
Scan Type
public
Language
Japanese
Category
documentation technical
(38%)Domain Information
Domain 'hugkum.sho.jp' uses the Japanese country-code top-level domain (.jp); it also runs on subdomain 'hugkum'. Count 3 characters in 'sho' containing 1 vowel alongside two consonants. Word splitting yields 1 word: sho. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 39 | 182.236.92.146 | Tokyo, Tokyo, Japan | AS15830Equinix (EMEA) Acquisition Enterprises B.V. |
| 3 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.127.156Google · CDN | United States | AS15169Google LLC |
| 3 | 65.8.131.95Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 3 | 23.50.131.160 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 99.84.152.70Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 3 | 104.20.23.13Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 148.109.40.83 | Osaka, Osaka, Japan | AS8220COLT Technology Services Group Limited |
| 3 | 142.250.154.102Google · CDN | United States | AS15169Google LLC |
| 3 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 225 | 63 | - | - |
Page Statistics
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan history not available
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