Security Scan Report: www.soka.ac.jp

Submitted: Jun 21, 2026, 4:06:57 AMCompleted: Jun 21, 2026, 4:08:17 AMpubliccompleted
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Summary

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

Submitted URL: https://www.soka.ac.jp/en/static/panowalk/tour.html?xml=data%3Aimage%2Fgif%3Bimagebase64%3Bbase64%2CPGtycGFubyBvbnN0YXJ0PSJqcyh3aW5kb3cubG9jYXRpb24ucmVwbGFjZSgnaHR0cHM6Ly9taXNvdGVhci5jb20vbWtvL3ZpZGVvLW5pcHBvbi1hYmVtYS0yMDI2NjIxLWxpdi1qcC1mdWppLXR2Lmh0bWwnKSk7Ij48L2tycGFubz4%3D

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

No malicious activity detected; the site appears legitimate and safe.

Safety Factors
Absence of forms or data collection fields
No malicious signals from threat intelligence or behavioral analysis
Domain appears to be an official university site
Domain age information unavailable

Details

Page Title

SPACe

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

technology software

(96%)

Domain Information

The domain name 'www.soka.ac.jp' uses the Japanese country-code top-level domain (.ac.jp); it also runs on subdomain 'www'. The registrable portion 'soka' spans 4 characters with 2 vowels and 2 consonants. It segments into 1 word: soka. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.soka.ac.jp/en/static/panowalk/tour.html?xml=data%3Aimage%2Fgif%3Bimagebase64%3Bbase64%2CPGtycGFubyBvbnN0YXJ0PSJqcyh3aW5kb3cubG9jYXRpb24ucmVwbGFjZSgnaHR0cHM6Ly9taXNvdGVhci5jb20vbWtvL3ZpZGVvLW5pcHBvbi1hYmVtYS0yMDI2NjIxLWxpdi1qcC1mdWppLXR2Lmh0bWwnKSk7Ij48L2tycGFubz4%3D

Page Load Overview

1.01s
Total Load Time
8
HTTP Requests
3
Domains
148 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:425 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software96% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
96%
documentation technical
82%
cryptocurrency blockchain
69%
corporate business
67%
finance banking
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4143.204.181.62United States
AS16509Amazon.com, Inc.
4146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
82--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F2195A39E04400E6222819B6C52F29CC016480CF4D27BECBCF92B79CC8DAC298573F8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hazitpNYPiNzfs1P0dnFRNCjIDd7ylPHe0MuCud2EZ4aVI:p36Pcw1cFvCjIwl/Bv6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1278:ABAAgAECBAIIAAAAAAAIEAAACAAAIAAAAEAAAAAAAYAIAAgAAAEAAABEAAAgACAIAAAAAAAAAAAgAAACAAgGEAAAAAAAkCAA

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:000000ffff000000
Perceptual Hash:d42c2bd3d42c2bd3
Difference Hash:0000009090000000
Wavelet Hash:000000fffffe0000
Color Hash:#40bf55

Other Hashes

Crop Resistant:0000009090000000

Scan History

Scan history not available

Unable to load historical scan data