Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is yomiuri.co.jp.
Submitted URL: https://www.yomiuri.co.jp/sports/soccer/worldcup/2026/schedule-result/2608300/
The Cisco Umbrella rank of the primary domain is #171,205 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 78%
News article from yomiuri.co.jp shows no phishing or malware signs; high JS obfuscation yields moderate concern.
Risk Factors
Safety Factors
Details
Page Title
日本代表 対 スウェーデン サッカーワールドカップ2026 日程・結果・試合時間 : 読売新聞
Scan Type
public
Language
Japanese
Category
news media journalism
(69%)Domain Information
The domain name 'www.yomiuri.co.jp' uses the Japanese country-code top-level domain (.co.jp); it also runs on subdomain 'www'. The registrable portion 'yomiuri' spans 7 characters holding 4 vowels versus three consonants. Tokenizing the label suggests one word: yomiuri. Average segment length settles at seven characters. 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 |
|---|---|---|---|
| 40 | 146.75.122.133 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 39 | 88.221.169.78 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 39 | 104.101.244.85 | Hamburg, Free and Hanseatic City of Hamburg, Germany | AS16625Akamai Technologies, Inc. |
| 39 | 142.251.20.95 | United States | AS15169Google LLC |
| 39 | 3.171.214.113 | United States | AS16509Amazon.com, Inc. |
| 39 | 142.251.14.157 | United States | AS15169Google LLC |
| 39 | 52.222.214.127 | United States | AS16509Amazon.com, Inc. |
| 39 | 13.32.121.96 | New York, New York, United States | AS16509Amazon.com, Inc. |
| 313 | 8 | - | - |
Detected Technologies3
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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