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Security Scan Report: uninterested-aquamarine-siaowgryad-tspfuwebir.edgeone.app

Submitted: Jan 25, 2026, 8:38:31 PMCompleted: Jan 25, 2026, 8:39:48 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is uninterested-aquamarine-siaowgryad-tspfuwebir.edgeone.app and was registered NaN years ago.

Submitted URL: https://uninterested-aquamarine-siaowgryad-tspfuwebir.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%

0
Risk Score

No apparent security threats; site appears legitimate.

Safety Factors
Established domain (>365 days)
No credential or payment collection forms
No malicious Indicators of Compromise
No detected JavaScript malware
Page title does not impersonate a known brand
Domain age information unavailable

Details

Page Title

同學通 - 學生端

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

education learning

(80%)

Domain Information

The domain name 'uninterested-aquamarine-siaowgryad-tspfuwebir.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'uninterested-aquamarine-siaowgryad-tspfuwebir'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Splitting it apart reveals 2 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://uninterested-aquamarine-siaowgryad-tspfuwebir.edgeone.app/

Page Load Overview

0.55s
Total Load Time
4
HTTP Requests
2
Domains
175 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-HK
Text Length:776 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning80% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
80%
government public service
55%
adult content
50%
cryptocurrency blockchain
36%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.17.25.14United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC432E6181F310726853E0A4BBB697577FA0E903C84ADA143BAC56C44FCBEE9C99374D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:m9TfG68GF2PF44FB7aUF/F+bZLFlFxlFVL8FNYyNycSoeeXK8WA:ifeGYm4feUdALbHl3L8H7NycSoFXLWA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59387:ygeW0FBTE5HEkmRIMAEMDQYo1oIIBTAIABIQCJIAcmiREiScjWwBAMSohAYUSITBCFECH3E4gJArqIGgJmoAgeXAkGEAEBgO

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:c3e3ffffffffffff
Perceptual Hash:f332333233999999
Difference Hash:4c4c323232321212
Wavelet Hash:c0c0c0d8dadadafb
Color Hash:#55bf40

Other Hashes

Crop Resistant:4c4c323232321212,ff7f7f7f3f37330f

Scan History

Scan history not available

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