Security Scan Report: queen-ai-provaider-z8dmker1ne.edgeone.app

Submitted: Jan 22, 2026, 9:07:10 AMCompleted: Jan 22, 2026, 9:08:17 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is queen-ai-provaider-z8dmker1ne.edgeone.app and was registered NaN years ago.

Submitted URL: https://queen-ai-provaider-z8dmker1ne.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 security concerns detected; the site appears legitimate.

Safety Factors
Established domain age
No credential or payment collection fields
No malicious Indicators of Compromise
Minimal risk category from hosting analysis
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(44% confidence)

Category

healthcare medical

(85%)

Domain Information

Domain 'queen-ai-provaider-z8dmker1ne.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'queen-ai-provaider-z8dmker1ne'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Word splitting yields 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://queen-ai-provaider-z8dmker1ne.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:44%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:1,069 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

healthcare medical85% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
85%
technology software
84%
documentation technical
77%
entertainment media
49%
social media network
45%

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

T1EA730390EFF82FDCB06F85458B7D7B3B6A256103A88D4188719E0DB1EF84949E4BB075

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wNIqZ7wV4prdLbH7YsHHFBrWgLXhf880tssc8mCSCcowsuE8SMwMYwAG0QYUICsj:wSqZ7wV4prdLbH7YsHHFBrWgLXhf880h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78357:UAkgmMEMCkVMrMoxyAYBABiCAM8g4gxgIdoEGAspAG8b6CEWq6EWAGgwDTgpJkHgEFAYRCgiDKCSRIIDPRQpkBiVO7SNggAx

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:1c1c3c1c3c3c3c3c
Perceptual Hash:da7c3c3c3188c6e3
Difference Hash:3030617979717171
Wavelet Hash:9c9c3c3c3c3c3c3c
Color Hash:#6a862d

Other Hashes

Crop Resistant:3030617979717171

Scan History

Scan history not available

Unable to load historical scan data