Security Scan Report: amused-harlequin-kjbk960n45-jk9a3h6762.edgeone.app

Submitted: Mar 4, 2026, 12:50:13 PMCompleted: Mar 4, 2026, 12:51:30 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is amused-harlequin-kjbk960n45-jk9a3h6762.edgeone.app and was registered NaN years ago.

Submitted URL: https://amused-harlequin-kjbk960n45-jk9a3h6762.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(38%)

Domain Information

The domain 'amused-harlequin-kjbk960n45-jk9a3h6762.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'amused-harlequin-kjbk960n45-jk9a3h6762'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Segmentation suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://amused-harlequin-kjbk960n45-jk9a3h6762.edgeone.app/

Page Load Overview

5.52s
Total Load Time
2
HTTP Requests
1
Domains
7 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:102 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism38% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
38%
government public service
34%
healthcare medical
33%
technology software
30%
social media network
28%

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

T15802C5CAEBA305C9A82BC46C2FFF5324222DE017C449CD5DB99E5F548F4518875EA3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBZh1RaXQl:KrzhNK/lMHmGgdkqMd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8804:YAUC1nECpYsQNBWcAU2ihAQiSQCOLQQANFAJAKACjDKUAIEIAeR0wwKQCaeSgtaAgTycVQEmSMhaDAhBAAIXCSoCOCaWRAUJ

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:dcfcfcc0e0e0c0c0
Perceptual Hash:da9a98986c6d61e3
Difference Hash:3038480000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#ac8e53

Other Hashes

Crop Resistant:3038480000000000

Scan History

Scan history not available

Unable to load historical scan data