Security Scan Report: vague-chocolate-f6fu3xtrnm-yp1xp4sdm4.edgeone.app

Submitted: Feb 21, 2026, 9:11:47 AMCompleted: Feb 21, 2026, 9:12:53 AMpubliccompleted
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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 vague-chocolate-f6fu3xtrnm-yp1xp4sdm4.edgeone.app and was registered NaN years ago.

Submitted URL: https://vague-chocolate-f6fu3xtrnm-yp1xp4sdm4.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

vague-chocolate-f6fu3xtrnm-yp1xp4sdm4.edgeone.app

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(83%)

Domain Information

Within the application-focused generic top-level domain (.app), 'vague-chocolate-f6fu3xtrnm-yp1xp4sdm4.edgeone.app' is registered with subdomain 'vague-chocolate-f6fu3xtrnm-yp1xp4sdm4'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Tokenizing the label suggests two 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://vague-chocolate-f6fu3xtrnm-yp1xp4sdm4.edgeone.app/

Page Load Overview

0.39s
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:93 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
news media journalism
41%
government public service
34%
download file sharing
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

T158048E77329A063986558498F05B43099F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszM2bMy8OldK:choC9JSqzzbs6o3Sj3gcrsY2eAY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:Ee5zIVeBgHkMIrBEoAUipKIZGADlsAwiGFiAAQLPpQhUMcgEx8JgQgZCQb4yCAEKkgAIxaOUECN45wa2ABr0EgBgEAAuREgF

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c40f0f0f0f
Color Hash:#2dd0d2

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data