Security Scan Report: wiki-mynas-fnu910oqot.edgeone.app

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Submitted: Jan 19, 2026, 1:35:57 PMCompleted: Jan 19, 2026, 1:35:59 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 37 HTTP transactions. The main domain is wiki-mynas-fnu910oqot.edgeone.app and was registered NaN years ago.

Submitted URL: https://wiki-mynas-fnu910oqot.edgeone.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

一起玩 NAS!

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(92%)

Domain Information

The domain 'wiki-mynas-fnu910oqot.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'wiki-mynas-fnu910oqot'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 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://wiki-mynas-fnu910oqot.edgeone.app/

Page Load Overview

N/A
Total Load Time
37
HTTP Requests
0
Domains
N/A
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:en-US
Text Length:645 chars
Detector Agreement:50%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

technology software92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
92%
documentation technical
92%
forum community discussion
88%
cryptocurrency blockchain
81%
blog personal website
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1343.152.26.58Singapore
12104.21.27.70United States
AS13335CLOUDFLARENET
12104.16.79.73United States
AS13335CLOUDFLARENET
03--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1F22FD66804D32BC1339DC5A3771E18E9E5E7868209A4709BF7C3A50F77DB139A9E20

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Ir1IXM5KdCkb/poLseCiQrJjRvsO9hWPbxucxojucPrwhOLex:IZIXM5KdVbzjrJjRvsO9ez5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35706:AJFArceY/tVNWGYsAIAQoQEQbAkAgBAoAQEKwhYhgejRFAgggSUVEAmIAUD2466hZlGaGZbEZYBiAVqcOc0rO6CB2AAAIEIB

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:002c2c74203c0000
Perceptual Hash:92936d6c6c6c929b
Difference Hash:8749c9c9c5ede109
Wavelet Hash:012d6d7d6d7d3d00
Color Hash:#7253ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data