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Security Scan Report: xenial-aqua-ru0kvv7e0i-2eym6ehcng.edgeone.app

Submitted: Apr 12, 2026, 12:48:54 PMCompleted: Apr 12, 2026, 12:50:23 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is xenial-aqua-ru0kvv7e0i-2eym6ehcng.edgeone.app and was registered NaN years ago.

Submitted URL: https://xenial-aqua-ru0kvv7e0i-2eym6ehcng.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%

2
Risk Score

The site shows low risk: no forms, no malicious indicators, but the subdomain is newly created on a hosting platform and has a low reputation ranking.

Risk Factors
Low domain ranking (455k)
Subdomain on hosting platform with unknown age
Safety Factors
No login, payment, or credential collection forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation
No network IDS alerts
Domain age information unavailable

Details

Page Title

One Patient, One Identity

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(93%)

Domain Information

You're looking at domain 'xenial-aqua-ru0kvv7e0i-2eym6ehcng.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'xenial-aqua-ru0kvv7e0i-2eym6ehcng'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xenial-aqua-ru0kvv7e0i-2eym6ehcng.edgeone.app/

Page Load Overview

0.42s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:844 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service93% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
93%
healthcare medical
93%
technology software
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T116D167B656E264625487C5E1BAB24B4BAEA0DA0BC90FC6503BBC57C88FC3CC5DD2354D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TA9GZ7FPdNlNSu4wSv6KEIq9bozMytqmZV9ZpZSZBZKZh99TgbKM666ONhI/oOko:3ZpPdNlNSuZSv6KEIKequx3qvCyBZc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6512:MlApSBAYgFABaiBJgNRYWBJwRBIhBAjomIIAWCkMqBvwQAQygECFwEAACBgEQG4kVh/xFJAACAUhErAgMAHBAFZAghChoDgk

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:8181ffffffffffff
Perceptual Hash:af6a6b6a6a6a9091
Difference Hash:030b40606a486a6a
Wavelet Hash:00003e3ebebebf83
Color Hash:#79d27b

Other Hashes

Crop Resistant:030b40606a486a6a,0000900000000000

Scan History

Scan history not available

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