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Security Scan Report: vivid-chocolate-fjozw1jpzr-mkmtwenck1.edgeone.app

Submitted: Mar 20, 2026, 10:58:55 PMCompleted: Mar 20, 2026, 11:00:02 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is vivid-chocolate-fjozw1jpzr-mkmtwenck1.edgeone.app and was registered NaN years ago.

Submitted URL: https://vivid-chocolate-fjozw1jpzr-mkmtwenck1.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: 92%

2
Risk Score

Low risk site with no malicious content or credential collection detected.

Risk Factors
Subdomain on free hosting platform with unknown creation date (potentially new)
Low Cisco Umbrella ranking (455,732) suggesting low reputation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware detected
No network IDS alerts detected
Served over HTTPS (secure connection)
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(75% confidence)

Category

documentation technical

(46%)

Domain Information

The domain 'vivid-chocolate-fjozw1jpzr-mkmtwenck1.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'vivid-chocolate-fjozw1jpzr-mkmtwenck1'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vivid-chocolate-fjozw1jpzr-mkmtwenck1.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:75%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:75%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:131 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical46% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
46%
technology software
40%
government public service
29%
adult content
28%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18712C6C9EBE706C8682BC4682FFF5325222DE053D449C95CB99E0F548F4518875EB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB6hlh1RaXQl:KrzhNK/lMHmGgdkqNXd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9734:dA0C3nAwhQMQNBUUAUWghIAjnECECQQwNFAJAQkDirBcAKtIgIQ9wwCATYcCIMaAgXmcVQAuyOhaBAhBYAImCCoCOC6OAAEB

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030780000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#5393ac

Other Hashes

Crop Resistant:3030780000000000

Scan History

Scan history not available

Unable to load historical scan data