Security Scan Report: dying-green-uf5muith06-cj56jnu2vf.edgeone.app

Submitted: Apr 12, 2026, 1:44:37 PMCompleted: Apr 12, 2026, 1:45:58 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 dying-green-uf5muith06-cj56jnu2vf.edgeone.app and was registered NaN years ago.

Submitted URL: https://dying-green-uf5muith06-cj56jnu2vf.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Low risk site with no malicious activity detected; safe but monitor due to unknown subdomain age.

Risk Factors
Low Cisco Umbrella ranking
Unknown subdomain age on a hosting platform
Safety Factors
No forms or credential exfiltration
No external malicious links
No IDS or network alerts
No JavaScript obfuscation or suspicious behavior
Domain age information unavailable

Details

Page Title

Arena Web Dev App

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(63%)

Domain Information

The domain name 'dying-green-uf5muith06-cj56jnu2vf.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'dying-green-uf5muith06-cj56jnu2vf'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Splitting it apart reveals 2 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://dying-green-uf5muith06-cj56jnu2vf.edgeone.app/

Page Load Overview

1.19s
Total Load Time
2
HTTP Requests
1
Domains
211 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:261 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
63%

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

T14B744AD831A9B5229BE355E540AF060372392852340CC4A4F22DEEDB7F7544A61BBFBD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+GaGYFYUTHDFqsD7JCgaoEnKbbe5Tssj1NimOJh6zqcnD2NThvM0FdFOXewbTogt:Pav9TEWbexsA1AmOJszfQdMXewbcgt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:342315:MpsRPQiPAAtkKACQEBoAyciCJLXDZawdqCMZKwNkECAilgsQEUhIGMx5DIARMKCgmEkMkEAq0WSWA2qQGgS2wFAgACElFJKT

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:607e3e6e7e3e0000
Perceptual Hash:93c16ce1633a3e63
Difference Hash:d2d0dcd8d8fcd802
Wavelet Hash:607e7e7e7e7e0000
Color Hash:#9779d2

Other Hashes

Crop Resistant:d2d0dcd8d8fcd802

Scan History

Scan history not available

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