Security Scan Report: www.fmu.ac.jp

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Submitted: May 5, 2026, 11:10:02 AMCompleted: May 5, 2026, 11:12:52 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 99 HTTP transactions. The main domain is fmu.ac.jp.

Submitted URL: https://www.fmu.ac.jp

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

The site appears to be the legitimate website of Fukushima Medical University with no phishing, malware, or scam indicators.

Safety Factors
Brand name aligns with domain (official university abbreviation)
Absence of credential or payment collection forms
No malicious scripts or external command‑and‑control indicators
Domain age information unavailable

Details

Page Title

公立大学法人 福島県立医科大学

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'www.fmu.ac.jp' uses the Japanese country-code top-level domain (.ac.jp) with subdomain 'www'. Its registrable label 'fmu' stretches across 3 characters split between one vowel and two consonants. Splitting it apart reveals two words: fm, u. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.fmu.ac.jp

Page Load Overview

27.81s
Total Load Time
116
HTTP Requests
7
Domains
3.3 MB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:80%
Script Type:Mixed
HTML Lang Attribute:ja
Text Length:7,074 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
healthcare medical
28%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29142.251.110.94United States
AS15169Google LLC
29202.251.224.51Fukushima, Fukushima, Japan
AS2907Research Organization of Information and Systems, National Institute of Informatics
29142.251.14.97United States
AS15169Google LLC
29142.251.20.95United States
AS15169Google LLC
1164--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BA93883086CE6C3B012352C67454B7EAA19F6EB9D9671C53337F87653BD2D90B80A06E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:hEnJDIR8E/aE0KO2vWOgwJXlXBONuX8gQL5FCKZIGt:aJ0R8E/a1KLvvgwJ1xONuXDQ1FCKGGt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89126:MRgjIKGTAm6ExkEQaw0MQTSwCAoHCh2YgQBBKIDgHhWBlgYwEUNiAAj5iAAK6oEpSq6yYBJAMGQyBkBAJUVURE2DC9YaOIBq

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:ff8b0042434fdfdf
Perceptual Hash:b87d9e83c6c63321
Difference Hash:3a169796969b323b
Wavelet Hash:ff0200c0434fdf9f
Color Hash:#a287c5

Scan History

Scan history not available

Unable to load historical scan data