Security Scan Report: anxious-beige-bb8slivlor-i51z6lpaiw.edgeone.app

Submitted: Mar 15, 2026, 7:16:51 AMCompleted: Mar 15, 2026, 7:18:17 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is anxious-beige-bb8slivlor-i51z6lpaiw.edgeone.app and was registered NaN years ago.

Submitted URL: https://anxious-beige-bb8slivlor-i51z6lpaiw.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Site shows no malicious indicators; low risk despite being a new subdomain on a free hosting platform.

Risk Factors
Subdomain on a free hosting platform (.edgeone.app) with unknown creation date
Safety Factors
No credential or payment collection forms
No cross‑origin credential exfiltration observed
Low Cisco Umbrella ranking but no malicious activity detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

明天早餐吃什么 · 每次旋转

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

healthcare medical

(55%)

Domain Information

Within the application-focused generic top-level domain (.app), 'anxious-beige-bb8slivlor-i51z6lpaiw.edgeone.app' is registered; it also runs on subdomain 'anxious-beige-bb8slivlor-i51z6lpaiw'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. It segments into 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://anxious-beige-bb8slivlor-i51z6lpaiw.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
5 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:63 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical55% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
55%
education learning
33%

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

T15772B476AAB700066523A1A41FE7420C6234A107754ACC9C7FEDD3849FD72ADE4B77AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:dNeucW4lumi+Of6QdHxHp+5+3MIRZU/H+ro8ezJ+pLNuNjkLjHs+tq3AKZkx5qgp:pbBRpRuNjkLzzoXZkx5jClKC5vtJWuy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17492:CiYFW9ScYRAmnjJgggUAC1yRFRYsQAAAKAMiUKNYgowR7waAMDwgxyGMkmKJcMQhoRXCIIDQSxFsK/CoLMckxDwtYBUKBBbY

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:ffffe7e6e4e4f8e0
Perceptual Hash:e6c8997366992666
Difference Hash:00080c0c4c0c3000
Wavelet Hash:fefce4e0e0e0f0c0
Color Hash:#322dd2

Other Hashes

Crop Resistant:00080c0c4c0c3000

Scan History

Scan history not available

Unable to load historical scan data