Security Scan Report: residential-amethyst-m9yivytbgo-yo3xe8xxs5.edgeone.app

Submitted: Feb 24, 2026, 8:06:38 AMCompleted: Feb 24, 2026, 8:08:00 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 7 domains to perform 9 HTTP transactions. The main domain is residential-amethyst-m9yivytbgo-yo3xe8xxs5.edgeone.app and was registered NaN years ago.

Submitted URL: https://residential-amethyst-m9yivytbgo-yo3xe8xxs5.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

Royal Wedding Invitation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(36%)

Domain Information

Domain 'residential-amethyst-m9yivytbgo-yo3xe8xxs5.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'residential-amethyst-m9yivytbgo-yo3xe8xxs5'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. It segments into 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://residential-amethyst-m9yivytbgo-yo3xe8xxs5.edgeone.app/

Page Load Overview

0.99s
Total Load Time
9
HTTP Requests
7
Domains
815 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:64 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service36% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3146.75.122.208United States
2188.114.97.3United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
218.66.147.125Unknown
94--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0F1C76165E300009517D2642BFB179C313AC107D747C87C3FAC66864F87BE889ABBE4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:2qm5aQbqXkvw2oUkimmgK8p2QM0JzrpSp2jqp3caZefSFwKfk/j:k5gxSp2ycaZeKV6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8057:Xo4wIAHFFSwkBEBs5iMAIwoCAQvWUIheACwGCJYUSAKIB6DWwLAABCWEEBLs8IIAhAGqrAjatS0UoUACmilZCAiA24BHAEeR

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:000018383c1c0000
Perceptual Hash:d8cf32849d52d8d9
Difference Hash:30843033b2b29d39
Wavelet Hash:9cf0f8383c7e0f05
Color Hash:#d2bb79

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data