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Security Scan Report: organisational-amethyst-knmi25p4pf-uz3v5m6z1c.edgeone.app

Submitted: Apr 7, 2026, 4:08:42 PMCompleted: Apr 7, 2026, 4:09:50 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 organisational-amethyst-knmi25p4pf-uz3v5m6z1c.edgeone.app and was registered NaN years ago.

Submitted URL: https://organisational-amethyst-knmi25p4pf-uz3v5m6z1c.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 malicious activity detected; site appears benign.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
Low JavaScript obfuscation, typical of benign minified code
Hosted on a known platform (edgeone.app) without suspicious behavior
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(43%)

Domain Information

Within the application-focused generic top-level domain (.app), 'organisational-amethyst-knmi25p4pf-uz3v5m6z1c.edgeone.app' is registered; it also runs on subdomain 'organisational-amethyst-knmi25p4pf-uz3v5m6z1c'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Word splitting yields 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://organisational-amethyst-knmi25p4pf-uz3v5m6z1c.edgeone.app/

Page Load Overview

0.63s
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:59 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism43% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
43%
cryptocurrency blockchain
33%
real estate property
28%
government public service
28%
healthcare medical
28%

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

T11502C5CAEBA305C8A81BC0682FFF5324222DE057D849CD5DB99E5F548F0518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBch1RaXQl:KrzhNK/lMHmGgdkqTd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8721:IQUC13AWBwuQNDUcg02AhAIqSECkDQSIMFAJCAACuDKSBIEIEMR0w0KCCYdCkdaAgTic1aAmaEJaBChDCAYXCCtCeCaWAAUF

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#dce06c

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data