Security Scan Report: bloge-mm3v0hzj4a.edgeone.app

Submitted: Dec 18, 2025, 5:18:14 PMCompleted: Dec 18, 2025, 5:18:16 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is bloge-mm3v0hzj4a.edgeone.app and was registered NaN years ago.

Submitted URL: https://bloge-mm3v0hzj4a.edgeone.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well-established domain age
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

vodtv的探索思考与分享

Scan Type

public

Language

🇩🇰

Danish

(28% confidence)

Category

technology software

(88%)

Domain Information

The domain name 'bloge-mm3v0hzj4a.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'bloge-mm3v0hzj4a'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bloge-mm3v0hzj4a.edgeone.app/

Page Load Overview

1.26s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:28%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:28%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:1,638 chars
Detector Agreement:75%
Language mismatch: Declared as zh but detected as da

Website Classification

Primary Category

technology software88% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
88%
documentation technical
59%
cryptocurrency blockchain
51%
corporate business
40%
adult content
29%

Detected Features

OG: website

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1114385352101DD1DDD9F2E98607DBD38918DC2AFC5A7CE79D2ECCA310686879AB939C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5RkuFbnvXdhtoYPYkYDCrYIYOZhqOP0zYzVtWf7UkWB+9XAdLm7eShMJvH1fKK3T:NbncsSuIK4cr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55460:HBUgYDIQwgQkgBAgjMBMuNgLQcQfnEtHQAjJAIQZHcRgirRPCOcIogIwiXkLlokAYhYWgPOQYDgOQMBVQIZMSBQBQFCJmXKA

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:1f0747c7e7ffffcf
Perceptual Hash:b1319ccc739cdc34
Difference Hash:b29e9c8a4e043016
Wavelet Hash:0206060667ffdfcb
Color Hash:#2d8677

Other Hashes

Crop Resistant:b29e9c8a4e043016

Scan History

Scan history not available

Unable to load historical scan data