Security Scan Report: old-pink-e0cpzujdlw-ej1stme6k4.edgeone.app

Submitted: Mar 5, 2026, 12:59:37 AMCompleted: Mar 5, 2026, 1:00:55 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is old-pink-e0cpzujdlw-ej1stme6k4.edgeone.app and was registered NaN years ago.

Submitted URL: https://old-pink-e0cpzujdlw-ej1stme6k4.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

深度镜像 MBTI 人格测试 - 专业版

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

adult content

(80%)

Domain Information

The domain name 'old-pink-e0cpzujdlw-ej1stme6k4.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'old-pink-e0cpzujdlw-ej1stme6k4'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. Splitting it apart reveals two 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://old-pink-e0cpzujdlw-ej1stme6k4.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
33 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:467 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content80% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
80%

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

T1DBA31A7B067301557807A2E77777030A36308543DA0BDD78BF6D52888FC9F9899AAFA4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mxCmi38GeIwL8XwVFbaptBCIIIuIIIHTbWiXoTqYZFwzR1kEjZ5snIrFi47Nqu81:EK/TbWAYZFqRFTOeoRuit

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106925:HqpYC0CVGQMYSSmQQokgRMMzsUDBREgDNBKyUWAAElYrMQEToAAMsYNKBBQYZNJkg2kAN6STYBxUsBSIODMGMANUIQUQoYgG

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:0c1c1c1c3c3c3818
Perceptual Hash:8c337086378c779d
Difference Hash:f8f8f0f0e8e8f0f0
Wavelet Hash:1f1e1c3c3c3c3c78
Color Hash:#862d7b

Other Hashes

Crop Resistant:f8f8f0f0e8e8f0f0

Scan History

Scan history not available

Unable to load historical scan data