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Security Scan Report: imperial-green-k1jnyovo3o-bvalw2x68i.edgeone.app

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Submitted: Feb 22, 2026, 2:22:43 PMCompleted: Feb 22, 2026, 2:24:07 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 imperial-green-k1jnyovo3o-bvalw2x68i.edgeone.app and was registered NaN years ago.

Submitted URL: https://imperial-green-k1jnyovo3o-bvalw2x68i.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: 92%

1
Risk Score

No malicious activity detected; site appears benign despite being a newly created subdomain.

Safety Factors
No credential or payment collection forms
No brand impersonation in meta tags or page content
No malicious Indicators of Compromise
JavaScript obfuscation likely due to minification, not malware
Domain age information unavailable

Details

Page Title

imperial-green-k1jnyovo3o-bvalw2x68i.edgeone.app

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

social media network

(78%)

Domain Information

Domain 'imperial-green-k1jnyovo3o-bvalw2x68i.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'imperial-green-k1jnyovo3o-bvalw2x68i'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Splitting it apart reveals two 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://imperial-green-k1jnyovo3o-bvalw2x68i.edgeone.app/

Page Load Overview

2.55s
Total Load Time
38
HTTP Requests
1
Domains
3.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:283 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
78%
news media journalism
55%
download file sharing
41%
adult content
38%
education learning
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3843.152.26.58Singapore
AS139341ACE
381--

Detected Technologies4

X-UA-Compatible
100%
MetaGenerator
100%
JQueryv3.5.1
100%
Vue.js
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8Olde:fhoC9JSqzzbs6o3Sj3gcrsq2eA0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184631:y2RAIISMQBABHWIM4IckMUSwYGVCmDBAKVCZETZqMRIEE9UhyEWSQOhACBBQkCJAAumMlATUJBTJgkQp2YgxAirEGOgGySII

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#382dd2

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data