Security Scan Report: thin-azure-kkh7v7y9tc-bydvfcz8fd.edgeone.app

Submitted: May 1, 2026, 6:23:41 AMCompleted: May 1, 2026, 6:25:02 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 thin-azure-kkh7v7y9tc-bydvfcz8fd.edgeone.app and was registered NaN years ago.

Submitted URL: https://thin-azure-kkh7v7y9tc-bydvfcz8fd.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: 78%

3
Risk Score

The site shows low risk: no forms, no malware indicators, but the subdomain is newly created on a hosting platform and has a low ranking.

Risk Factors
Low domain ranking (455,732) for a subdomain
Subdomain creation date unknown, could be newly registered
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware signatures
Content appears to be educational with no brand claims
Domain age information unavailable

Details

Page Title

昆明的雨 · 课堂复习巩固

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

education learning

(38%)

Domain Information

The domain name 'thin-azure-kkh7v7y9tc-bydvfcz8fd.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'thin-azure-kkh7v7y9tc-bydvfcz8fd'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. It segments into 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://thin-azure-kkh7v7y9tc-bydvfcz8fd.edgeone.app/

Page Load Overview

0.95s
Total Load Time
2
HTTP Requests
1
Domains
9 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:1,437 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning38% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
38%
healthcare medical
35%

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

T1507250A6A2F704576553B0F82BB34B8E3E95C603D00BCB18FF9C92689F85D949D5234E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:5TfaDsbbkf2f4MKmWfQRvqIi7Pu7vYRGWLyJZUSdvNahmWhe1LBd5qwObN+C+P9j:5qJvIOoimAepBd5qw1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16339:QwHAUYhMGIcAc5kYnlADQgfIhDoIDQEn5FkWDTGwNCRANeAKEBQYYCRqgUZKYVzACSCKCgSAAaYOBIMRkRAOIeYiMZwRBAQO

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:003c3c3c3c3c3c3c
Perceptual Hash:9671656669677131
Difference Hash:0e68d860e46c64e4
Wavelet Hash:003c1e3c3e3e3e3e
Color Hash:#79d29e

Other Hashes

Crop Resistant:0e68d860e46c64e4

Scan History

Scan history not available

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