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Security Scan Report: xenial-brown-ksdjydvxua-qe8f74839g.edgeone.app

Submitted: Apr 4, 2026, 9:14:45 PMCompleted: Apr 4, 2026, 9:15:53 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 9 HTTP transactions. The main domain is xenial-brown-ksdjydvxua-qe8f74839g.edgeone.app and was registered NaN years ago.

Submitted URL: https://xenial-brown-ksdjydvxua-qe8f74839g.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: 92%

1
Risk Score

The site appears legitimate with no malicious indicators; low risk.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Hosted on a reputable platform (edgeone.app)
Page content is a community social club description, not impersonating a major brand
Domain age information unavailable

Details

Page Title

Belong Austin - Social Club for Young Professionals

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(49%)

Domain Information

Within the application-focused generic top-level domain (.app), 'xenial-brown-ksdjydvxua-qe8f74839g.edgeone.app' is registered, featuring subdomain 'xenial-brown-ksdjydvxua-qe8f74839g'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xenial-brown-ksdjydvxua-qe8f74839g.edgeone.app/

Page Load Overview

0.72s
Total Load Time
9
HTTP Requests
3
Domains
243 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,178 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network49% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
49%
forum community discussion
42%
documentation technical
35%
adult content
35%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.14.95United States
AS15169Google LLC
343.152.26.58Singapore
AS139341ACE
3142.251.13.94United States
AS15169Google LLC
93--

Detected Technologies1

X-UA-Compatible
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19072A5927AA46011601794D036A35B5F7B64C107820FC578BBFD28DCBFCAAC98973B4E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:4TnQxVDhH4a28UujouViJxOGUwjJLNMOjRHCXrnFy21BWJz2Mz4i8rzEevcU:xRY3ccG4vSXrIoO2sN2YA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17291:IDRc1CkgpYAYQwgBhAlqtIEZyQppVHwSZAhPJAFYxKwIjAYIgLpBEgsxKFsVACAcXowAIoEKQGF4/ChIQsuhOIQEAIoT1GgT

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:0000000000ffffff
Perceptual Hash:a80bb3667ab34b4c
Difference Hash:0573b3333131141e
Wavelet Hash:0101190111ffffff
Color Hash:#b5bf40

Other Hashes

Crop Resistant:0573b3333131141e,2917733333333131

Scan History

Scan history not available

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