Security Scan Report: neat-fuchsia-lsbie4ko25-ovqdoig5rv.edgeone.dev

Submitted: Apr 5, 2026, 7:22:29 PMCompleted: Apr 5, 2026, 7:23:48 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is neat-fuchsia-lsbie4ko25-ovqdoig5rv.edgeone.dev and was registered NaN years ago.

Submitted URL: https://neat-fuchsia-lsbie4ko25-ovqdoig5rv.edgeone.dev/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
Hosted on a reputable cloud hosting platform
Domain age information unavailable

Details

Page Title

护理学在线考试系统

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

adult content

(69%)

Domain Information

The domain 'neat-fuchsia-lsbie4ko25-ovqdoig5rv.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'neat-fuchsia-lsbie4ko25-ovqdoig5rv'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://neat-fuchsia-lsbie4ko25-ovqdoig5rv.edgeone.dev/

Page Load Overview

1.06s
Total Load Time
2
HTTP Requests
1
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:zh-CN
Text Length:5,024 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content69% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
69%
healthcare medical
61%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.246.29Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18583EB5538658E7D5E4388DA0B46634A25ACE34FB10665C0B6DDC6FC1FACD20FA339B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sdm+C0czWHUqHjdM6HxLO+8DTele8XpLqcJjHt0Zm3LzBtc1OyHchekyQpP01zRc:jWFtjMf52cda/eOTp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83230:BEwiAGRHIIqpYA2ACBQDCaqACBIDLTgRElyASCBxFMmYBEgpRwiCFWkAhGDRvGNAA6TMARTyBAKCQQBKrgAVE+EIABFgGkbU

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:81c3ffffffffffff
Perceptual Hash:b839393d2c6c6ccc
Difference Hash:3b1be0e0e0e0e0e0
Wavelet Hash:000c3e3e3e3e3e3e
Color Hash:#78653a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data