Security Scan Report: therockpaperscissorsgame-g430tgbs5z.edgeone.app

Submitted: Apr 16, 2026, 4:09:54 PMCompleted: Apr 16, 2026, 4:11:20 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 therockpaperscissorsgame-g430tgbs5z.edgeone.app and was registered NaN years ago.

Submitted URL: https://therockpaperscissorsgame-g430tgbs5z.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: 72%

2
Risk Score

Low risk site hosting a simple Rock Paper Scissors game; no malicious activity detected.

Risk Factors
Low Cisco Umbrella ranking (outside top 100K)
Subdomain age unknown on a hosting platform
Safety Factors
No login, payment, or credential forms
No malicious JavaScript or network alerts
Content identified as a simple entertainment game
Domain age information unavailable

Details

Page Title

Rock Paper Scissors

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(87%)

Domain Information

The domain name 'therockpaperscissorsgame-g430tgbs5z.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'therockpaperscissorsgame-g430tgbs5z'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Segmentation suggests 2 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://therockpaperscissorsgame-g430tgbs5z.edgeone.app/

Page Load Overview

1.23s
Total Load Time
4
HTTP Requests
1
Domains
2 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:120 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media87% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
87%
documentation technical
66%
technology software
61%
news media journalism
44%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16911C092F8FA0A32C552A15474C1F98F6D80FE058B4E611179EB18D82FC3E55D80B225

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRB5C0ZCJtn56XKEHMiknR6Mav6m3D78D7uBI4MiKriWUHVaj:TBrZKtnkXKEHZknM5ye4DqBI4ZYiwj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:928:CABEAAAAAAAEAgAAAgAAAAAAABQAAAAAAAASAEACAgABJAAAAAAAAAAAAAACAAAgAAAAAAAAABAAiAABAAAACAQAAAAAAAAA

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:0000181818180000
Perceptual Hash:cccc333399cccc33
Difference Hash:0008303030300800
Wavelet Hash:3030383838380000
Color Hash:#87c5c5

Other Hashes

Crop Resistant:0008303030300800

Scan History

Scan history not available

Unable to load historical scan data