Security Scan Report: nutritious-lime-xbyaipw3cu-tm4djxdcww.edgeone.app

Submitted: Mar 19, 2026, 3:23:26 PMCompleted: Mar 19, 2026, 3:24:43 PMpubliccompleted
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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 nutritious-lime-xbyaipw3cu-tm4djxdcww.edgeone.app and was registered NaN years ago.

Submitted URL: https://nutritious-lime-xbyaipw3cu-tm4djxdcww.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: 94%

0
Risk Score

No malicious activity detected; the site appears legitimate and low risk.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Content appears to be a generic/local record page in Chinese
Hosting platform subdomain without any suspicious scripts or redirects
Domain age information unavailable

Details

Page Title

📚 三科作业 · 本地记录版

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

education learning

(74%)

Domain Information

Domain 'nutritious-lime-xbyaipw3cu-tm4djxdcww.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'nutritious-lime-xbyaipw3cu-tm4djxdcww'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. It segments into two 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://nutritious-lime-xbyaipw3cu-tm4djxdcww.edgeone.app/

Page Load Overview

0.41s
Total Load Time
2
HTTP Requests
1
Domains
6 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:285 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

education learning74% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
74%
documentation technical
29%
government public service
26%

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

T118B2933968FB00516573A5F427EB56012275900BE206CD187FDE53B88FCAE907877B8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:LN1PDqPQ/rEDsi0oGcqEgKMSoyPUXiZXqae09mfPUudaVITyJpKl0hXuuIwz1MQ4:OQ/rjkvZXqnU0lQXu3+cxwi1RtuA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25609:MCCU2FwAWosAMBccRgkkkwgAEEhDWg3BSYAIQ0EgggJNO0RhiABTEKnA0iDCB+haAQmA5BoqE2BCOLc7AYIGAVAuuITWbAYn

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:807c7e7e7c7e0000
Perceptual Hash:d693698d6932c569
Difference Hash:00c0d4e0e0f04803
Wavelet Hash:807c7e7e7e7e3000
Color Hash:#5b1f93

Other Hashes

Crop Resistant:00c0d4e0e0f04803

Scan History

Scan history not available

Unable to load historical scan data