Security Scan Report: kind-apricot-voqqlmbong-i2c4dnled2.edgeone.app

Submitted: Mar 4, 2026, 12:30:38 PMCompleted: Mar 4, 2026, 12:31:49 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is kind-apricot-voqqlmbong-i2c4dnled2.edgeone.app and was registered NaN years ago.

Submitted URL: https://kind-apricot-voqqlmbong-i2c4dnled2.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

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

education learning

(70%)

Domain Information

Within the application-focused generic top-level domain (.app), 'kind-apricot-voqqlmbong-i2c4dnled2.edgeone.app' is registered; it also runs on subdomain 'kind-apricot-voqqlmbong-i2c4dnled2'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three 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://kind-apricot-voqqlmbong-i2c4dnled2.edgeone.app/

Page Load Overview

0.74s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:77 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

education learning70% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
70%
entertainment media
66%
finance banking
49%
documentation technical
47%
adult content
46%

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

T14302C5CAEBA305C9A82BC0682FFF5324222DE057C849CD5DB99F1F548F4518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBsh1RaXQl:KrzhNK/lMHmGgdkqRd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8758:JAUC1nACBQMQNBWUAU2IhBFqSICEDQRFMFAJIBAKiDOQgYE4IMR0wwOCCYcGENbEgTicVQAmSEhaDIhBAAoGCGoCODeWEAEj

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#e0a06c

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data