Security Scan Report: hefung-vzn0839j3x.edgeone.app

Submitted: Mar 9, 2026, 2:42:32 PMCompleted: Mar 9, 2026, 2:43:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 17 HTTP transactions. The main domain is hefung-vzn0839j3x.edgeone.app and was registered NaN years ago.

Submitted URL: https://hefung-vzn0839j3x.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Page references Microsoft but lacks phishing elements; moderate risk due to new subdomain and low ranking.

Risk Factors
Brand mention mismatch (Microsoft) on unrelated hosting subdomain
Subdomain age unknown, increasing suspicion
Low Cisco Umbrella ranking for a domain displaying a major brand name
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
Content appears to be a personal technical knowledge base (MIT licensed)
No network IDS alerts
Domain age information unavailable

Details

Page Title

何丰的知识库 | 个人技术知识库,记录和分享个人碎片化、结构化、体系化的技术知识内容

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(82%)

Domain Information

Domain 'hefung-vzn0839j3x.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'hefung-vzn0839j3x'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Segmentation suggests 2 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://hefung-vzn0839j3x.edgeone.app/

Page Load Overview

1.28s
Total Load Time
16
HTTP Requests
1
Domains
243 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:307 chars
Detector Agreement:33%
Language mismatch: Declared as zh_cn but detected as zh

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
73%
download file sharing
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1643.152.26.58Singapore
161--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AB32CE60B8A055270233C6C5A4B6671878F2F71BCA0E59C26EFE83794FE7C723867905

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:FxKF+OQ5mlIRZ3/y//bctCv8NlQ/bc2MMA4vHXjAm:FxKwOCVRZ3/pe8NsMMA4vHXjAm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11434:kCIERIgcAheBgsGo0Q5kgjAZwAKgQKEgKig0QVk0IKgSMCwaIShGcAgCCqEIUUwsAIM2sCBejiBEgKgAGQRtEgKAkKMdCARg

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:f3d3f3f3ffffffff
Perceptual Hash:ec6c92939393c669
Difference Hash:673626270b00000c
Wavelet Hash:b193938181ffff00
Color Hash:#ac40bf

Other Hashes

Crop Resistant:673626270b00000c

Scan History

Scan history not available

Unable to load historical scan data