Security Scan Report: large-cyan-z5ljyndok3-1awes0pu55.edgeone.app

Submitted: Apr 10, 2026, 6:31:30 PMCompleted: Apr 10, 2026, 6:32:38 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 large-cyan-z5ljyndok3-1awes0pu55.edgeone.app and was registered NaN years ago.

Submitted URL: https://large-cyan-z5ljyndok3-1awes0pu55.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%

1
Risk Score

No malicious indicators or suspicious behavior detected; site appears legitimate.

Safety Factors
Hosted on reputable edgeone.app platform
No login, payment, or credential collection forms
No external links or redirects
Low JavaScript obfuscation typical of production code
No network IDS alerts or credential exfiltration
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(71%)

Domain Information

The domain name 'large-cyan-z5ljyndok3-1awes0pu55.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'large-cyan-z5ljyndok3-1awes0pu55'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Breaking it apart gives 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://large-cyan-z5ljyndok3-1awes0pu55.edgeone.app/

Page Load Overview

0.37s
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:78 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical71% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
71%
news media journalism
50%
healthcare medical
42%
government public service
38%
real estate property
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

T16D32A6C5EBE71AC8641BC4685FFF6725222DA053D84CC95CB99E0E648F45188B4BB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBSh7hVXhDh1RaXQl:KrzhNK/lMHmGgdkqZ5LNd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11350:ZAUCVnAABQMQNRTmAWWIgBEKCMWEiQRBERAJMBAKijkQAIE6qIQ0wxmACQcHgNaEmT2dXQCkWMhaJApAAAoGCDoA/CfGgAEj

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:dcfcfcfcc0808000
Perceptual Hash:de9a3869689ac365
Difference Hash:3030706000000000
Wavelet Hash:dcfcfcfcc0e0c0c0
Color Hash:#d22da1

Other Hashes

Crop Resistant:3030706000000000

Scan History

Scan history not available

Unable to load historical scan data