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Security Scan Report: fuwari-1zyq1-bysehocg2r.edgeone.app

Submitted: Nov 19, 2025, 4:56:34 AMCompleted: Nov 19, 2025, 4:58:26 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is fuwari-1zyq1-bysehocg2r.edgeone.app.

Submitted URL: https://fuwari-1zyq1-bysehocg2r.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: 70%

0
Risk Score

No suspicious activity detected; appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches
No credential or payment forms present
Domain age information unavailable

Details

Page Title

1zyq1 Blog - 1zyq1 博客

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

The domain name 'fuwari-1zyq1-bysehocg2r.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'fuwari-1zyq1-bysehocg2r'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. Breaking it apart gives 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://fuwari-1zyq1-bysehocg2r.edgeone.app/

Page Load Overview

30.11s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:801 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
46%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9A3E9206225563F4187C177A394AF5D616DE34ADB03CA88777E09EA27C2FF08A4537E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gZOdWvvfVDcykGYjQPr62Vx94nWhHay53E8Q1e:gIdQ5b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99373:JvGAE+FQSLWOiTIChMhhG5IECoLzBIKCDEXUSSAClLECEVsk+AaaAQIghDMdgOcSoGIAi9QEIETiQCdAoZCsFRJkRAiFwDZm

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:2061630381c1c1e2
Perceptual Hash:e303d11c3c3c775a
Difference Hash:cdc7cfc22703130a
Wavelet Hash:20736323f3c1f9e2
Color Hash:#c5bb87

Other Hashes

Scan History

Scan history not available

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