Security Scan Report: japannews.yomiuri.co.jp

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Submitted: Oct 3, 2025, 4:35:13 AMCompleted: Oct 3, 2025, 4:37:25 AMpubliccompleted
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Summary

This website contacted 84 IPs in 4 countries across 34 domains to perform 149 HTTP transactions. The main domain is japannews.yomiuri.co.jp.

Submitted URL: https://japannews.yomiuri.co.jp/news-services/ap/20251003-284367/

The Cisco Umbrella rank of the primary domain is #307,546 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears legitimate with no malicious indicators; browsing is considered safe.

Safety Factors
Absence of password, email, or payment fields
No external malicious links or redirects
Content matches expected news site behavior
Domain age information unavailable

Details

Page Title

Hurricane Imelda Descends on Bermuda with Damaging Wind and Waves - The Japan News

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Screenshot

Security scan screenshot of https://japannews.yomiuri.co.jp/news-services/ap/20251003-284367/

Page Load Overview

62.51s
Total Load Time
149
HTTP Requests
34
Domains
2.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:en
Text Length:71,355 chars
Detector Agreement:100%

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
66172.217.16.206United States
AS15169GOOGLE
123.50.131.160Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.185.238United States
AS15169GOOGLE
113.158.189.90Tokyo, Tokyo, Japan
AS16509AMAZON-02
134.120.97.247Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
123.50.131.159Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.186.163United States
AS15169GOOGLE
1104.16.144.111United States
AS13335CLOUDFLARENET
1151.101.65.229San Francisco, California, United States
AS54113FASTLY
1216.58.206.78United States
AS15169GOOGLE
14984--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F6B4B432F840193FA73B44C4AB49931E71D7A21FE4E90810D5E64B2C5AE5E78F51E2EB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yq5/yhTmTm06N6LOLgL5LGL5LLpOj9ChvuAyPsJLBEJyKgliX23SkC6uDLc4gQch:0vvfMgMkmoMmt4l/U4MhIB8oUTnqA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500415:hAQDhQyYWcEefJRAhzYFKFjSyHAOBBpAGM9ekNAEIIAIQGBRs9I8wSEEINStFAE2hCwkFAAaZCkoBgkdOLAAaUgIgQctClFw

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:00001819183c0000
Perceptual Hash:884d73f31c2dcd92
Difference Hash:014d333333b33135
Wavelet Hash:01c7199999bf8787
Color Hash:#79d1d2

Scan History

Scan history not available

Unable to load historical scan data