Security Scan Report: continued-emerald-poq0j9ezs4-yi3hikwsgb.edgeone.app

Submitted: Feb 23, 2026, 7:32:57 PMCompleted: Feb 23, 2026, 7:34:05 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 7 domains to perform 50 HTTP transactions. The main domain is continued-emerald-poq0j9ezs4-yi3hikwsgb.edgeone.app and was registered NaN years ago.

Submitted URL: https://continued-emerald-poq0j9ezs4-yi3hikwsgb.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

No malicious activity detected; minor suspicion due to new subdomain on hosting platform.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially newly registered)
Low ranking in Cisco Umbrella (outside top 100k) without established reputation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
Standard hosting without IPFS or cloud storage
Domain age information unavailable

Details

Page Title

まな~ぶ V1.5 -N.S企画 お客様システム

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

technology software

(89%)

Domain Information

Domain 'continued-emerald-poq0j9ezs4-yi3hikwsgb.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'continued-emerald-poq0j9ezs4-yi3hikwsgb'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Segmentation suggests 2 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://continued-emerald-poq0j9ezs4-yi3hikwsgb.edgeone.app/

Page Load Overview

1.38s
Total Load Time
50
HTTP Requests
7
Domains
920 KB
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:524 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
89%
education learning
49%
government public service
43%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.141.131United States
AS15169Google LLC
5104.16.175.226United States
AS13335Cloudflare, Inc.
5104.17.25.14United States
AS13335Cloudflare, Inc.
565.8.131.76United States
AS16509Amazon.com, Inc.
5104.26.2.143United States
AS13335Cloudflare, Inc.
5104.26.3.143United States
AS13335Cloudflare, Inc.
5104.16.174.226United States
AS13335Cloudflare, Inc.
5104.17.24.14United States
AS13335Cloudflare, Inc.
543.152.26.58Singapore
5142.250.187.202United States
AS15169Google LLC
5010--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA231A3DB2E1003B6C63C0E6FA5167497915A98BCD17D569FABD82106FC2A9ACC5333C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ITushnzhnR9aJWESX92kAPvPTVpxNkOMnPJyNsy4kuHur0Bb5Iy7h:uht43raBVK0BbK0h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47051:MMERAMgoqjxAfQAOWyijPAVAKAgMtCMDMCEAVJBIaKAAJaVsEUVBghjIoGUSihNARAMrbBAhDAACJwCRUVRxQHIAHSFQRBkI

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:3fe563ff9f8fbfff
Perceptual Hash:8707838d8d878f1f
Difference Hash:d40dcc64b0346810
Wavelet Hash:3f04007e5b017cff
Color Hash:#3e1f93

Other Hashes

Crop Resistant:d40dcc64b0346810

Scan History

Scan history not available

Unable to load historical scan data