Security Scan Report: willing-gray-jg95aplw9w-ouwlzewnzy.edgeone.app

Submitted: Mar 12, 2026, 5:08:03 PMCompleted: Mar 12, 2026, 5:09:25 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is willing-gray-jg95aplw9w-ouwlzewnzy.edgeone.app and was registered NaN years ago.

Submitted URL: https://willing-gray-jg95aplw9w-ouwlzewnzy.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

Mini Block Builder

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(49%)

Domain Information

The domain name 'willing-gray-jg95aplw9w-ouwlzewnzy.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'willing-gray-jg95aplw9w-ouwlzewnzy'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label 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://willing-gray-jg95aplw9w-ouwlzewnzy.edgeone.app/

Page Load Overview

0.83s
Total Load Time
2
HTTP Requests
1
Domains
5 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
Text Length:144 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
49%

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

T151425D30E19A453AA93F6CE6E579277EB0B2C24AC8A76202B7FC67C56FDCC009D53115

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:DSXwU95HA4SqznwpSVOj2TueobrJALUBZDn:DSXwU9hXSqQqSRz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12067:UKgAJSCgEADVCAAACBBA0AF8kh9BRJOEEEQgCIAUAQQANFSKBZYWDQISAWAlsAABAaQhKIgMCQBTCEoCCCEAiJUEAQJiAKQT

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:e7c7c3c3e7ffffff
Perceptual Hash:b33398ccce66988e
Difference Hash:4c4d4d4d4c300400
Wavelet Hash:c3c3c3c3c0fcf0f0
Color Hash:#a12dd2

Other Hashes

Scan History

Scan history not available

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