Security Scan Report: well-apricot-clgz85ybai-n091htko2j.edgeone.app

Submitted: Feb 24, 2026, 7:34:18 AMCompleted: Feb 24, 2026, 7:35:29 AMpubliccompleted
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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 well-apricot-clgz85ybai-n091htko2j.edgeone.app and was registered NaN years ago.

Submitted URL: https://well-apricot-clgz85ybai-n091htko2j.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(69% confidence)

Category

healthcare medical

(30%)

Domain Information

Domain 'well-apricot-clgz85ybai-n091htko2j.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'well-apricot-clgz85ybai-n091htko2j'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Segmentation suggests two 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://well-apricot-clgz85ybai-n091htko2j.edgeone.app/

Page Load Overview

0.49s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:69%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:69%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:140 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

healthcare medical30% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
30%
news media journalism
26%

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

T11F02C6CAE7A705C8A81BC0682FFF5724222DE067C848CD5DB99E1F548F4518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBaoh1RaXQl:KrzhNK/lMHmGgdkqtod

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8872:IScK13BCBQOQNBUUIU3AxAAiagCkDSQoc1AJgEACqDIQUIkMAMR1wwKQTYciNNbCxTicVQAmaEpeFApBOAoGCCsDOGaWgIER

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a988c6c6d6363
Difference Hash:3038180000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#d2532d

Other Hashes

Crop Resistant:3038180000000000

Scan History

Scan history not available

Unable to load historical scan data