Security Scan Report: www.uwajimaya.com

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Submitted: Sep 25, 2026, 2:17:11 PMCompleted: Sep 25, 2026, 2:18:09 PMpubliccompleted

This website contacted 20 IPs in 5 countries across 16 domains to perform 56 HTTP transactions. The main domain is uwajimaya.com and was registered 16 years ago.

Submitted URL: https://www.uwajimaya.com/blog/mid-autumn-festival/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate blog article on the 30-year-old Uwajimaya retail domain. Self-branded, no credential or payment forms, only a newsletter signup via a legitimate email provider, and no threat-intel, YARA, or IDS hits.

Safety Factors (6)
Well-established 30-year-old domain
Self-branding: title/meta match the domain (not impersonation)
No credential, password, or payment fields present
Cross-origin form submission is a verified legitimate email marketing SSO flow (secure.campaigner.com)
Physical store addresses and 98-year business history provide real-world legitimacy signals
No Indicators of Compromise, YARA malware, IDS alerts, or malicious JavaScript
Domain age information unavailable

Details

Page Title

Mid-Autumn Festival History & Traditions

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.uwajimaya.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. The core label 'uwajimaya' covers 9 characters holding five vowels versus four consonants. Splitting it apart reveals four words: uwa, ji, may, a. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.uwajimaya.com/blog/mid-autumn-festival/

Page Load Overview

1.55s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:6,734 chars
Detector Agreement:80%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18141.193.213.21Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
24.208.245.91Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
2142.250.154.97Google · CDNUnited States
AS15169Google LLC
2184.24.77.143Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2184.24.77.135Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2141.193.213.20Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
24.208.244.230Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
2184.24.77.165Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2184.24.77.169Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
234.36.216.150Google · CDNKansas City, Missouri, United States
AS396982Google LLC
5620--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A283E9B261D81076566BCBD47028B358B593F166DF56CAC8B3FD215C9FC0EAE88A301D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:izWioT9ZdypZ3YxP7cuRW2Crq2ESsXvc1eSOzD/hrplv6zqKH7kcgiLZs2zJ+b0z:izWiCyp1YxP7cu0a0kS/mKbS2zRiv6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82237:VVUrgYRuYiwQOgEhBDQABDQAYNgKxECIBUIDCIA6kEEUUV8FEkhhBAVoSg0AyQWEUAZ4BAQAUIiqRwYh/aTYKWYChAloAAlo

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:fff3f1f1f3ffffe7
Perceptual Hash:ed6d929286c6926d
Difference Hash:c896a6a6a6989696
Wavelet Hash:fe405171715f4743
Color Hash:#79d2b3

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data