Security Scan Report: main-org-cn-gfork-jdhxhdjsjs-onbzw5pjsw.edgeone.app

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Submitted: Jan 18, 2026, 3:14:22 AMCompleted: Jan 18, 2026, 3:16:07 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is main-org-cn-gfork-jdhxhdjsjs-onbzw5pjsw.edgeone.app and was registered NaN years ago.

Submitted URL: https://main-org-cn-gfork-jdhxhdjsjs-onbzw5pjsw.edgeone.app/where.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low risk site with no credential collection; likely benign.

Risk Factors
Related malicious domain indicator (ac.cn) detected in threat intelligence
Safety Factors
Established domain (> 365 days)
No credential or payment collection forms
Page content is a 404 placeholder
Domain age information unavailable

Details

Page Title

404 - GFork

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(58%)

Domain Information

Domain 'main-org-cn-gfork-jdhxhdjsjs-onbzw5pjsw.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'main-org-cn-gfork-jdhxhdjsjs-onbzw5pjsw'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Splitting it apart reveals two 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://main-org-cn-gfork-jdhxhdjsjs-onbzw5pjsw.edgeone.app/where.html

Page Load Overview

4.64s
Total Load Time
49
HTTP Requests
14
Domains
920 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:174 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software58% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
58%
cryptocurrency blockchain
49%
government public service
48%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1343.152.26.58Singapore
9142.250.74.195Singapore
943.174.246.30Singapore
9216.58.206.72Switzerland
9142.251.141.130Unknown
495--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1A163B3B050C82B02A75AD2F6F1725DD153730DCA22AC95E4B10DB56EA3DA59E230CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:tTnh1hSKQxhb2AQz7xjG1EG1+jpGzdAJHW+Za0yLyM:ZnUKIl2znxjG1EG1+dGzdAt/8NLL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4652:ECgACBAPUCCFbAAwFMAgADoSBBIVAAAUSDSCkBDQAgAABiAAACdAACAAEQAAuUAgEIiQABAgACBIBBAgFyDACtERcCiBRQBU

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:3fffffc3c3ffffff
Perceptual Hash:a5258f8f3530cbca
Difference Hash:60680e960e480c00
Wavelet Hash:3020e0c0e7c3fbf3
Color Hash:#78593a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data