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Security Scan Report: geographical-aqua-3us5fyooc4-updo9qqrpm.edgeone.app

Submitted: Mar 19, 2026, 3:35:54 AMCompleted: Mar 19, 2026, 3:37:14 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is geographical-aqua-3us5fyooc4-updo9qqrpm.edgeone.app and was registered NaN years ago.

Submitted URL: https://geographical-aqua-3us5fyooc4-updo9qqrpm.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: 92%

1
Risk Score

No security concerns detected; appears to be legitimate educational content.

Safety Factors
No malicious Indicators of Compromise
No credential or payment collection forms
Page title suggests educational content (HKSI Paper 1)
Hosted on a standard platform without known abuse
Domain age information unavailable

Details

Page Title

HKSI Paper 1 · 題目 701-793 原卷選項

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

finance banking

(99%)

Domain Information

Within the application-focused generic top-level domain (.app), 'geographical-aqua-3us5fyooc4-updo9qqrpm.edgeone.app' is registered; it also runs on subdomain 'geographical-aqua-3us5fyooc4-updo9qqrpm'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://geographical-aqua-3us5fyooc4-updo9qqrpm.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
6 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:279 chars
Detector Agreement:67%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

finance banking99% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
99%
corporate business
55%
adult content
52%
education learning
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD137618A3B3E92F268355E3274B091819744437A898BD24F71D2B9D0FCCB0D98E66DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:TTWsa/uAE4uRHH7mT5KexZpkpnD+XpkpnD+XpkpnF2L+FW6e:KHbqSsex/xDL+g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42513:KBEUEUyvKCAiAzEQTYFEgUENBZBCMBpYC1KzELSBiaYWCNIBg4WCEIgEnwkiYJFmqhDgCCDScHAnqCExWsBARARiUIoCqQaD

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:ccc0bcbcfcbc3c24
Perceptual Hash:d23831c3cb9b9a9a
Difference Hash:1896307878704848
Wavelet Hash:dc809cbcbc3c3c3c
Color Hash:#452dd2

Other Hashes

Crop Resistant:1896307878704848,00832b2b2bcb0b00

Scan History

Scan history not available

Unable to load historical scan data