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Security Scan Report: nursing-amber-82aqahifu6-jgqwcimw1i.edgeone.app

Submitted: Apr 25, 2026, 8:59:15 PMCompleted: Apr 25, 2026, 9:00:23 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is nursing-amber-82aqahifu6-jgqwcimw1i.edgeone.app and was registered NaN years ago.

Submitted URL: https://nursing-amber-82aqahifu6-jgqwcimw1i.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: 78%

2
Risk Score

The site shows low risk: no malicious activity, no forms, but subdomain age is unknown and ranking is low, so proceed cautiously.

Risk Factors
Unknown subdomain age on a developer hosting platform
Low reputation ranking in Cisco Umbrella
Safety Factors
No forms or credential collection mechanisms
No malicious code or external links detected
No network alerts or suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(64%)

Domain Information

Within the application-focused generic top-level domain (.app), 'nursing-amber-82aqahifu6-jgqwcimw1i.edgeone.app' is registered; it also runs on subdomain 'nursing-amber-82aqahifu6-jgqwcimw1i'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nursing-amber-82aqahifu6-jgqwcimw1i.edgeone.app/

Page Load Overview

0.48s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:93 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical64% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
64%
technology software
46%
news media journalism
43%
adult content
43%
government public service
32%

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

T15202C6CAEBA305C8682BC46D2FFB5724222DE017C449CD5DB99E0F548F4518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB4mh1RaXQl:KrzhNK/lMHmGgdkqad

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8781:IAUC13AKFQMwtF0cgW+ChCAiWAmEDQQAMFiNgAACiDKaAIEKAsR0w0qACY8CAPaAgTi8VQAmTEBaBApBIiIGSCqTOCbXAAFB

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a989c6c6561e3
Difference Hash:3038580000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#1f2f93

Other Hashes

Crop Resistant:3038580000000000

Scan History

Scan history not available

Unable to load historical scan data