Security Scan Report: yuiro-f972bcyixr.edgeone.app

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Submitted: Dec 8, 2025, 9:28:46 PMCompleted: Dec 8, 2025, 9:29:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 15 HTTP transactions. The main domain is yuiro-f972bcyixr.edgeone.app.

Submitted URL: https://yuiro-f972bcyixr.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No forms collecting sensitive data
No suspicious scripts or redirects
Content appears to be static and non‑interactive
Domain age information unavailable

Details

Page Title

Yuiro

Scan Type

public

Language

🇺🇸

English

(33% confidence)

Category

technology software

(91%)

Domain Information

The domain name 'yuiro-f972bcyixr.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'yuiro-f972bcyixr'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Breaking it apart gives two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yuiro-f972bcyixr.edgeone.app/

Page Load Overview

4.38s
Total Load Time
15
HTTP Requests
1
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:33%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:33%
Script Type:Latin
Text Length:236 chars
Detector Agreement:33%

Website Classification

Primary Category

technology software91% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
91%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1543.152.26.58Singapore
151--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD32C430439C8E7D801A93D7A5302279775F1CB9F9128AB8E2FB1D71C1E3C9499A7C95

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:8z1PWgNbUmQ6rADjlPy9MrZUxKrpVzDSH4aQmrjNzwt/0QOBmOSYnUpo+A87zkj:e1PhG6rADxPy9IZUqeH41oNzwt/0Q+mw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11224:DYmKJIC12HEU0EZDJhC6lUAkeBCKg4MsAyTGIQVIoJJEIBChLlp4AASqEQSZBwUCGgLrCAEBIpsSFWigaxHiIKDJhEwguEuN

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:02011c1e9e7e3e1c
Perceptual Hash:932e21e51e96733c
Difference Hash:dadf297838c8f4f8
Wavelet Hash:07051c1e9e7e3e1e
Color Hash:#ac5397

Scan History

Scan history not available

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