Security Scan Report: excited-amethyst-4c5pzvyhzo-vtnv1nwsoq.edgeone.app

Submitted: Feb 21, 2026, 1:15:44 PMCompleted: Feb 21, 2026, 1:17:04 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 excited-amethyst-4c5pzvyhzo-vtnv1nwsoq.edgeone.app and was registered NaN years ago.

Submitted URL: https://excited-amethyst-4c5pzvyhzo-vtnv1nwsoq.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%

0
Risk Score

No security concerns detected; site appears benign.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting without suspicious redirects
Informational page title (Detroit River Museum) with no brand impersonation
Domain age information unavailable

Details

Page Title

excited-amethyst-4c5pzvyhzo-vtnv1nwsoq.edgeone.app

Scan Type

public

Language

🇺🇸

English

(48% confidence)

Category

documentation technical

(46%)

Domain Information

Domain 'excited-amethyst-4c5pzvyhzo-vtnv1nwsoq.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'excited-amethyst-4c5pzvyhzo-vtnv1nwsoq'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. Word splitting yields 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://excited-amethyst-4c5pzvyhzo-vtnv1nwsoq.edgeone.app/

Page Load Overview

1.07s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:48%
Script Type:Latin
Text Length:7,653 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical46% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
46%
government public service
43%
education learning
33%

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

T12F048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsza2bMy8Oldm:5hoC9JSqzzbs6o3Sj3gcrs22eAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184641:gEhKGMopAYARAgMkDUAlZEDLKaQFoAA4ACJlQFCDIGxAGsUgCWUDkFCVhjoQyN5QiIJAEIASp4DDjGSUkQIAIBQGSBqQSsog

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:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f0307f0f0f0f0
Color Hash:#e0736c

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data