Security Scan Report: deenmcqueen-yto7o2vr5x.edgeone.app

Submitted: May 7, 2026, 7:02:37 PMCompleted: May 7, 2026, 7:03:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is deenmcqueen-yto7o2vr5x.edgeone.app and was registered NaN years ago.

Submitted URL: https://deenmcqueen-yto7o2vr5x.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: 78%

2
Risk Score

Low risk site with no malicious activity detected.

Risk Factors
Subdomain age unknown (potentially brand‑new)
Low domain ranking in Cisco Umbrella
Safety Factors
No login, payment, or credential‑harvesting forms
No external malicious links or IoC matches
No JavaScript malware signatures
Content classified as technical documentation
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(70% confidence)

Category

documentation technical

(49%)

Domain Information

Domain 'deenmcqueen-yto7o2vr5x.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'deenmcqueen-yto7o2vr5x'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://deenmcqueen-yto7o2vr5x.edgeone.app/

Page Load Overview

0.42s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:70%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:70%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:94 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

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

All Detected Categories

documentation technical
49%
healthcare medical
38%
real estate property
38%
government public service
37%
news media journalism
34%

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

T13C02C6CAE7A305C9A82BC0782FFB5724222DE057D448CD5DB99E5F548F0518875EA3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBih1RaXQl:KrzhNK/lMHmGgdkqjd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8784:ME1i1vBCJYMSPBVcBU2AlCAiWCCEDYQBMNAJCAQDiDaQAIGIFMR0ywKACYeCANaQmTjc1UAmSGHahAhBocIGCDoCOC6WBCEB

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:da9a989c6c6561e3
Difference Hash:3038480000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#89e06c

Other Hashes

Crop Resistant:3038480000000000

Scan History

Scan history not available

Unable to load historical scan data