Security Scan Report: clinical-white-lgrneefgc0-waws2cpeux.edgeone.app

Submitted: Mar 15, 2026, 2:33:08 PMCompleted: Mar 15, 2026, 2:34:19 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is clinical-white-lgrneefgc0-waws2cpeux.edgeone.app and was registered NaN years ago.

Submitted URL: https://clinical-white-lgrneefgc0-waws2cpeux.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: 95%

0
Risk Score

No suspicious indicators; site appears legitimate.

Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
Low JavaScript obfuscation score
Standard hosting platform subdomain without developer-style naming
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(62%)

Domain Information

You're looking at domain 'clinical-white-lgrneefgc0-waws2cpeux.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'clinical-white-lgrneefgc0-waws2cpeux'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://clinical-white-lgrneefgc0-waws2cpeux.edgeone.app/

Page Load Overview

0.54s
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:87 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical62% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
62%
healthcare medical
50%

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

T1E202C6CAEBA705C8A81BC06C2FFB5324222DE057D449CD5DB99E1F548F4518475EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB9QuQsh1RaXQl:KrzhNK/lMHmGgdkqsf1d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8768:IAWG1nQCBQMQNDUcBU2AhAAiSAXGDTwCMFAJGAIKyDPUIoGoIMR0wwKACYcCANaAgTicVQDmSERaDAlJAAIGCGpCeDaWAA0h

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:da9a98bc6c6561c3
Difference Hash:3038580000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#d2902d

Other Hashes

Crop Resistant:3038580000000000

Scan History

Scan history not available

Unable to load historical scan data