Security Scan Report: scared-azure-rxl2xbnkzj-s0vee4m0q7.edgeone.app

Submitted: Mar 15, 2026, 4:04:55 PMCompleted: Mar 15, 2026, 4:06:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is scared-azure-rxl2xbnkzj-s0vee4m0q7.edgeone.app and was registered NaN years ago.

Submitted URL: https://scared-azure-rxl2xbnkzj-s0vee4m0q7.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: 92%

2
Risk Score

Low‑risk educational page; no malicious activity detected.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Educational content with no brand impersonation
Domain age information unavailable

Details

Page Title

HKSI Paper 1 · 題目 301-400 原卷選項

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

finance banking

(93%)

Domain Information

The domain name 'scared-azure-rxl2xbnkzj-s0vee4m0q7.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'scared-azure-rxl2xbnkzj-s0vee4m0q7'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. It segments into 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://scared-azure-rxl2xbnkzj-s0vee4m0q7.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
14 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:en
Text Length:201 chars
Detector Agreement:67%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

finance banking93% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
93%
corporate business
80%
adult content
50%
government public service
29%

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

T1EF23C85863B2D92E12CA50B2575B06192E70843354A4AD28773DA7CE0FDC71EE8F69CF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:wTJMbjDZAiAlbdNOANaRbQESTyUYd0Z+UnDkFbPBOvTpIIsggOfngzQnDunnunHe:wTWvWDeNUYd03OSTJ+pX9L+K/6e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46735:BEAoVMRKEkYCxEDR8QAA2wKBGhAGkAIoQgMmY5AbYUEYCgUVErUhchEQHC1MIFh6ACAMCoDSkAmA2Ojo1S6MBIAAoGsIADIl

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:fec0c0fcfcfca480
Perceptual Hash:f2b861c3cb8ecc64
Difference Hash:789e346171694d16
Wavelet Hash:fcc0dcfcbcbca400
Color Hash:#1f9353

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data