Security Scan Report: psychological-forest-ezawo9k4nu.edgeone.dev

Submitted: Mar 22, 2026, 4:36:40 PMCompleted: Mar 22, 2026, 4:38:07 PMpubliccompleted
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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 psychological-forest-ezawo9k4nu.edgeone.dev and was registered NaN years ago.

Submitted URL: https://psychological-forest-ezawo9k4nu.edgeone.dev/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious indicators detected; the site appears legitimate.

Safety Factors
Hosted on a reputable platform (edgeone.dev)
No credential or payment collection forms present
No malicious Indicators of Compromise
No JavaScript malware signatures
No network IDS alerts
Domain age information unavailable

Details

Page Title

心理解压森林

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

education learning

(53%)

Domain Information

Domain 'psychological-forest-ezawo9k4nu.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'psychological-forest-ezawo9k4nu'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. Breaking it apart gives 2 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://psychological-forest-ezawo9k4nu.edgeone.dev/

Page Load Overview

1.89s
Total Load Time
4
HTTP Requests
1
Domains
96 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:en
Text Length:244 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

education learning53% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
53%
blog personal website
44%
adult content
42%
healthcare medical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.174.247.29Singapore
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EC11DF06196037A03AF8EE7F5D24B7834BAC71DFE0BD148F299E1E107E9C155A0AA51

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T9HiOgipIemW3qoxejbCJI/0v+oT0ARELo5oZoMoH0KRbP1Dowg0eXkRrpZW34iD:hCOPpIzWO1Q8tAQdrgMSdo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5937:RDYyEkBAkCEAgIACcAkEA0AAEEigCkCESJKAQIgAgEywgQgAEb5ATEvAA4wGEqYwIEJQAAEAiIJERgSogDABAAABRUC6AAAA

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:003c3c3c3c3c3c00
Perceptual Hash:9bf164733196989c
Difference Hash:0e69717171716916
Wavelet Hash:e73c3c7e3c3c3c00
Color Hash:#4440bf

Other Hashes

Crop Resistant:0e69717171716916

Scan History

Scan history not available

Unable to load historical scan data