Security Scan Report: queen-ai-provaider-bxoto24dkm.edgeone.app

Submitted: Jan 25, 2026, 5:12:46 PMCompleted: Jan 25, 2026, 5:13:53 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is queen-ai-provaider-bxoto24dkm.edgeone.app and was registered NaN years ago.

Submitted URL: https://queen-ai-provaider-bxoto24dkm.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: 96%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>365 days)
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware detected
No brand impersonation or phishing content
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(67% confidence)

Category

documentation technical

(78%)

Domain Information

You're looking at domain 'queen-ai-provaider-bxoto24dkm.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'queen-ai-provaider-bxoto24dkm'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 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://queen-ai-provaider-bxoto24dkm.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:67%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:66 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical78% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
78%
technology software
52%
healthcare medical
41%
government public service
41%
news media journalism
41%

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

T1AE22B7C9EBE706C9B82BC0685FFF67252229E013D449C95CB99E0F648F45184B5FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBRhh5hCh1RaXQl:KrzhNK/lMHmGgdkqer58d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10433:IE2C1nIABSM4NR0EEUeAiAoiCIGECQVgNlgJARIiiDMagIMJB4I0ywDQjacHAcaAgXicVQBmSEFaJAlVBAJmWCoCOCaGAFEV

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:de9a38696893c267
Difference Hash:3030606000000000
Wavelet Hash:dcfcfcfce0e0c080
Color Hash:#40bf95

Other Hashes

Crop Resistant:3030606000000000

Scan History

Scan history not available

Unable to load historical scan data