Security Scan Report: functional-sapphire-h2msriqhdh-qx1babp2e7.edgeone.app

Submitted: Apr 15, 2026, 12:40:27 AMCompleted: Apr 15, 2026, 12:41:53 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is functional-sapphire-h2msriqhdh-qx1babp2e7.edgeone.app and was registered NaN years ago.

Submitted URL: https://functional-sapphire-h2msriqhdh-qx1babp2e7.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

The page impersonates UKWAZI SCHOOL OF NURSING and collects passwords on an unknown subdomain, indicating a high‑risk credential phishing site.

Risk Factors
Brand impersonation
Credential (password) field in form
Unknown subdomain creation date
Low domain reputation rank
Hosted on generic edgeone.app subdomain
Domain age information unavailable

Details

Page Title

Multi-Step Application Form

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(71%)

Domain Information

The domain 'functional-sapphire-h2msriqhdh-qx1babp2e7.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'functional-sapphire-h2msriqhdh-qx1babp2e7'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Word splitting yields 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://functional-sapphire-h2msriqhdh-qx1babp2e7.edgeone.app/

Page Load Overview

5.59s
Total Load Time
2
HTTP Requests
1
Domains
7 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:1,758 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical71% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
71%
education learning
64%
finance banking
47%
adult content
39%
government public service
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE1284D010F04CA8E21318F97EE755592C3AC327BB456944F99C9AFEDFA2408836337A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:XJIHQLNzFqDFRqu1gOfpw3Z4xjKCIIxnj:XJIHQpriAGtImj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9670:CGR4yQYAEjhgoYb6FggcpMAEgEysAIy0BVFSWhMJOAAAiBgw6hCxQNowEwIhRgIIEOWtEV7AABBJ05AdAABwwAIN4iUQOYiA

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:007f7fffffffffff
Perceptual Hash:8000626f7f7f6a6a
Difference Hash:c980808000000000
Wavelet Hash:003f7c7cf0f0f0f0
Color Hash:#ae40bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data