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Security Scan Report: yielding-coffee-3vbytmurvf-6tcrukryu4.edgeone.app

Submitted: Apr 7, 2026, 7:52:09 AMCompleted: Apr 7, 2026, 7:53:18 AMpubliccompleted
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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 yielding-coffee-3vbytmurvf-6tcrukryu4.edgeone.app and was registered NaN years ago.

Submitted URL: https://yielding-coffee-3vbytmurvf-6tcrukryu4.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site appears to be a legitimate community page but is hosted on a new subdomain; no immediate threats detected but caution is advised.

Risk Factors
Subdomain on a free hosting platform with unknown creation date
Domain age unknown, could be newly registered
Brand content (Belong Austin) hosted on a non‑official domain
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Meta tags do not claim to be 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

The domain 'yielding-coffee-3vbytmurvf-6tcrukryu4.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'yielding-coffee-3vbytmurvf-6tcrukryu4'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Splitting it apart reveals 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://yielding-coffee-3vbytmurvf-6tcrukryu4.edgeone.app/

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
Domains
9 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
243.152.26.58Singapore
AS139341ACE
21--

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

T1AB7282927AB45012605B94A07A939B5B77A8C403D20FC97477FC148CAFC6BD98A73B4E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:kdQsw1DfqUZjvCIv6Grw8a0KBULRkXwsJw6MazgTCvX1uJ9hprzm0/8S:cGrl2huw8OU6MazgYlqWS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16610:AGhT4yJRaLgAAMxiGgwUFCRh47BcgAY1KGyEBgEAJiEssAAlQ1QgFDOBpEhARQImO0cOsYYADABQ5sIBotQwQAaYwTaaKGhY

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:b80fb1666eb3431c
Difference Hash:0f33b33331213038
Wavelet Hash:0101190111ffffff
Color Hash:#79d2af

Other Hashes

Crop Resistant:0f33b33331213038,0317333333333131

Scan History

Scan history not available

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