Security Scan Report: nuonuoliaotian-z5hyd4y49r.edgeone.app

Submitted: Mar 28, 2026, 4:46:29 AMCompleted: Mar 28, 2026, 4:47:36 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is nuonuoliaotian-z5hyd4y49r.edgeone.app and was registered NaN years ago.

Submitted URL: https://nuonuoliaotian-z5hyd4y49r.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 82%

4
Risk Score

No malicious activity detected; site appears to be a simple file collection page on a new subdomain.

Risk Factors
Newly created subdomain on free hosting platform (edgeone.app) – potential for abuse
Safety Factors
Standard hosting without known bad reputation
No external domains linked
No credential exfiltration or phishing indicators
No payment or login forms
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(43%)

Domain Information

The domain name 'nuonuoliaotian-z5hyd4y49r.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'nuonuoliaotian-z5hyd4y49r'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Breaking it apart gives two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nuonuoliaotian-z5hyd4y49r.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:153 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical43% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
43%
technology software
33%
social media network
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1276294C5EFE61ADCA41FC0585FBE673A2629A003E48CC59C75AE0E709F45188B0FB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBUhRhXShBhcNhkhRhth1RaXQl:KrzhNK/lMHmGgdkqbPdSvONOPDd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14940:IARSEXcEDZMQOIQGAwGCwBBCAAAEDYQBnZAtAAALiGcUSJlIALA2kxBACQUNYK7AgYyWwYEkVUTYJKjKKRImATMAPCYCBIUh

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:dcdcfcbc3c3c0000
Perceptual Hash:da98619a6c65d267
Difference Hash:3030707070700000
Wavelet Hash:dcfcfcfcbc3c0000
Color Hash:#2dd2bc

Other Hashes

Crop Resistant:3030707070700000

Scan History

Scan history not available

Unable to load historical scan data