Security Scan Report: involved-lavender-yzdnqy32zu-4szc62zi54.edgeone.app

Submitted: Jan 15, 2026, 8:07:00 AMCompleted: Jan 15, 2026, 8:08:33 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is involved-lavender-yzdnqy32zu-4szc62zi54.edgeone.app and was registered NaN years ago.

Submitted URL: https://involved-lavender-yzdnqy32zu-4szc62zi54.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

Legitimate site with no detected threats.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment collection mechanisms
Low ranking does not indicate brand impersonation
Domain age information unavailable

Details

Page Title

Maintenance Membership Programme

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(70%)

Domain Information

The domain 'involved-lavender-yzdnqy32zu-4szc62zi54.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'involved-lavender-yzdnqy32zu-4szc62zi54'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://involved-lavender-yzdnqy32zu-4szc62zi54.edgeone.app/

Page Load Overview

0.69s
Total Load Time
8
HTTP Requests
4
Domains
124 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:3,768 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical70% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
70%
adult content
60%
government public service
46%
finance banking
31%
social media network
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
2142.250.184.234United States
AS15169GOOGLE
2142.250.185.99United States
AS15169GOOGLE
2172.67.184.158United States
AS13335CLOUDFLARENET
84--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166F273B7A1F32011258390396F67575A6F91D51BC20FEE6839AC568CAF82D84CFA370D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:S36ZSupiFVabEIyUoF2gns9YQ2gns9Y2hnA1mOK:U6YupiFVa4IyUwZns9YQZns9Y2hnA1mD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36634:m0ZgBA9BP2QCBAhBgBhEALjCBSQwLCOpcRJERsACAC8GUr0PIEccIChJBEYKEjjmWEeUbIRSoXaN4QgwgnTIBQgQhiAxkABw

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:7e6e42426666667e
Perceptual Hash:f4dddb938c242c8a
Difference Hash:c8c88696cccccccc
Wavelet Hash:7e667e426646426e
Color Hash:#782d86

Other Hashes

Crop Resistant:c8c88696cccccccc

Scan History

Scan history not available

Unable to load historical scan data