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Security Scan Report: environmental-aquamarine-vyw4jwefad-vxcyw33iqi.edgeone.app

Submitted: Feb 21, 2026, 2:40:12 AMCompleted: Feb 21, 2026, 2:41:23 AMpubliccompleted
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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 environmental-aquamarine-vyw4jwefad-vxcyw33iqi.edgeone.app and was registered NaN years ago.

Submitted URL: https://environmental-aquamarine-vyw4jwefad-vxcyw33iqi.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 security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

environmental-aquamarine-vyw4jwefad-vxcyw33iqi.edgeone.app

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'environmental-aquamarine-vyw4jwefad-vxcyw33iqi.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'environmental-aquamarine-vyw4jwefad-vxcyw33iqi'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://environmental-aquamarine-vyw4jwefad-vxcyw33iqi.edgeone.app/

Page Load Overview

0.54s
Total Load Time
2
HTTP Requests
1
Domains
3 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:44 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszg2bMy8Oldi:WhoC9JSqzzbs6o3Sj3gcrsM2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184681:CArsCYEKahBBhGJsLiBTeDBEICDZBJiEfBxcqJjBiQSkfHoSCYCLEMmeAMMVAggOQKgEgo4DBBEcnSUjNNhBAgjF0FVAxOJ+

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:b333cccccc333323
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#2dd0d2

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

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