Security Scan Report: www.flet.keio.ac.jp

Submitted: Mar 17, 2026, 12:38:44 PMCompleted: Mar 17, 2026, 12:40:50 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 9 domains to perform 41 HTTP transactions. The main domain is flet.keio.ac.jp.

Submitted URL: https://www.flet.keio.ac.jp

The Cisco Umbrella rank of the primary domain is #131,851 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears to be a legitimate Keio University faculty page with no security concerns.

Safety Factors
Official university subdomain (keio.ac.jp) with consistent branding
Clean meta tags and Open Graph data
No credential or payment collection forms
No malicious Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

慶應義塾大学文学部

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

news media journalism

(63%)

Domain Information

Domain 'www.flet.keio.ac.jp' uses the Japanese country-code top-level domain (.ac.jp); it also runs on subdomain 'www.flet'. The second-level label 'keio' is 4 characters long with three vowels and one consonant. Tokenizing the label suggests 1 word: keio. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.flet.keio.ac.jp

Page Load Overview

34.52s
Total Load Time
91
HTTP Requests
11
Domains
8.7 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:2,078 chars
Detector Agreement:75%

Website Classification

Primary Category

news media journalism63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
63%
education
45%
education learning
28%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1323.45.108.190Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
13172.217.16.202United States
AS15169Google LLC
13142.251.36.110United States
AS15169Google LLC
13142.251.36.104United States
AS15169Google LLC
13142.251.143.99United States
AS15169Google LLC
13142.251.141.99United States
AS15169Google LLC
13131.113.131.107Shiohama, Tokyo, Japan
AS38635Keio University
917--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D43321580F520330267A1D6AEB52F766EE3914BC60A5E05B2BC6AAC6FCFC42FD0355D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Ml8ZDlQwr30TfCNiZqMEDSyPYzHkh3G0GhuPtdP:MmWw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57571:cEEZCAgI4wGQbKVzaCEgFaCCk4AAkbYTTcALoSIBckQBZAVkeALFxETjoCIabJQB14GdEEkSHyACGBmQEICbIEkZoEJCQCYA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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