Security Scan Report: vicious-coral-brwg6uphmz-xfgnjjbl3c.edgeone.app

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Submitted: May 21, 2026, 6:49:00 PMCompleted: May 21, 2026, 6:50:25 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is vicious-coral-brwg6uphmz-xfgnjjbl3c.edgeone.app and was registered NaN years ago.

Submitted URL: https://vicious-coral-brwg6uphmz-xfgnjjbl3c.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: 70%

2
Risk Score

The site shows low risk: no malicious activity, no forms, but unknown subdomain age warrants caution.

Risk Factors
Unknown subdomain age (could be brand‑new)
Low domain ranking in Cisco Umbrella
Safety Factors
No forms or payment fields
No credential exfiltration observed
No malicious JavaScript or IDS alerts
Content appears to be a personality test (educational)
Domain age information unavailable

Details

Page Title

大五人格趣味测试

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

education learning

(54%)

Domain Information

The domain name 'vicious-coral-brwg6uphmz-xfgnjjbl3c.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'vicious-coral-brwg6uphmz-xfgnjjbl3c'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Segmentation suggests 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://vicious-coral-brwg6uphmz-xfgnjjbl3c.edgeone.app/

Page Load Overview

6.86s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:892 chars
Detector Agreement:50%

Website Classification

Primary Category

education learning54% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
54%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.57Frankfurt am Main, Hesse, Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C62605274F308B6053BE1C366DE675A3BA0D223C0A646847EAE0B74DFE9E55306772C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:LUhmxoY/XWTOxSmU6ZYdIFvxVL1W/TTCG:LkIoDOx7U6ZY2ZxbITTCG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15140:FZbHSZZ2EQgVREJJSGxQ4VBBhU8bQQMeBQACJqJolR4igVAgAWCgIdAAAwUA8AIaEQiwDEahCSacniMkbSIQiIiEk4VIJMCB

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:01013d3d3d3d3d3d
Perceptual Hash:8a357520e383c7dd
Difference Hash:b5b5716969696969
Wavelet Hash:01013d3d3d3d3d3d
Color Hash:#79c3d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data