Security Scan Report: disturbed-amethyst-m9wlgxvwwh-orawi2oxpj.edgeone.app

Submitted: Jan 3, 2026, 3:20:18 AMCompleted: Jan 3, 2026, 3:21:45 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is disturbed-amethyst-m9wlgxvwwh-orawi2oxpj.edgeone.app and was registered NaN years ago.

Submitted URL: https://disturbed-amethyst-m9wlgxvwwh-orawi2oxpj.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

Live Page Creator

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(57%)

Domain Information

The domain name 'disturbed-amethyst-m9wlgxvwwh-orawi2oxpj.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'disturbed-amethyst-m9wlgxvwwh-orawi2oxpj'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Word splitting yields two 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://disturbed-amethyst-m9wlgxvwwh-orawi2oxpj.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
5 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:109 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network57% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
57%
news media journalism
51%
government public service
35%
healthcare medical
34%

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

T13851A5567060042567EAA1F0BEE3F78A7010D11BA54288507CEC1160CF8FA96A57B78F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TojhMe+pG4as02J0Blg3e6MGp0R+gjV5Ztj:yhZ+pG435JelpXNkgh5Ztj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3091:AQACiCAAFBAAYAQTQEAEAEAgGIAIAQgACBAgACBEAgAACAoAoQoCAAAICgQCAIFSoAAAAOAAsAIARBhBACggAMAIIoGACACA

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:efffe7e7ffffffff
Perceptual Hash:b33399998c666666
Difference Hash:1a324d4c30000000
Wavelet Hash:c8d8c0d8f0f0f0f0
Color Hash:#dae06c

Other Hashes

Crop Resistant:1a324d4c30000000

Scan History

Scan history not available

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