Security Scan Report: bloge-f1efeowhmu.edgeone.app

Submitted: Jan 21, 2026, 8:39:28 AMCompleted: Jan 21, 2026, 8:40:50 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 26 HTTP transactions. The main domain is bloge-f1efeowhmu.edgeone.app and was registered NaN years ago.

Submitted URL: https://bloge-f1efeowhmu.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (> 2 years old)
No credential or payment collection forms
No malicious Indicators of Compromise matches
Domain age information unavailable

Details

Page Title

vodtv的探索思考与分享

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(94%)

Domain Information

You're looking at domain 'bloge-f1efeowhmu.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'bloge-f1efeowhmu'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bloge-f1efeowhmu.edgeone.app/

Page Load Overview

5.52s
Total Load Time
24
HTTP Requests
1
Domains
314 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:959 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
94%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2443.152.26.58Singapore
241--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1053385352101DD1DED9F2E98607DBD39918DC2AFC5A7CE75D2ECCA310682879AB939C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:NRkuNnvXdhtoYPYkYDCrYIYOZ0qAP0TYTVJWP7KkoBw9nA5L37e0h5JvH1fKK3Tw:hnc00dIKjcp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55030:IA5BpFQWQRCQCglIgvsgAgYIKCLRaAIoRshEYSdSsIAloSEKVUVgGBkcmFmRTuAbw3pAcBHgCEAYgEqpLOggQZAymZT7AQQM

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:b29e9c8a4c003016
Wavelet Hash:0206060767ffdfc3
Color Hash:#2dd2bc

Other Hashes

Crop Resistant:b29e9c8a4c003016

Scan History

Scan history not available

Unable to load historical scan data