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Security Scan Report: yelping-coffee-9zoy08craa-h2k0jbsfz4.edgeone.app

Submitted: Feb 24, 2026, 4:26:44 PMCompleted: Feb 24, 2026, 4:28:13 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 yelping-coffee-9zoy08craa-h2k0jbsfz4.edgeone.app and was registered NaN years ago.

Submitted URL: https://yelping-coffee-9zoy08craa-h2k0jbsfz4.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%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No forms detected
No malicious Indicators of Compromise
Standard hosting platform subdomain with no suspicious behavior
Static educational content
Domain age information unavailable

Details

Page Title

Stesen 3 – Permainan Darab

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

entertainment media

(96%)

Domain Information

Domain 'yelping-coffee-9zoy08craa-h2k0jbsfz4.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'yelping-coffee-9zoy08craa-h2k0jbsfz4'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Word splitting yields 2 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://yelping-coffee-9zoy08craa-h2k0jbsfz4.edgeone.app/

Page Load Overview

1.71s
Total Load Time
9
HTTP Requests
3
Domains
237 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:1,512 chars
Detector Agreement:100%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

entertainment media96% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
96%
education learning
84%
adult content
59%
government public service
51%
healthcare medical
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.201.163United States
AS15169
343.152.26.58Singapore
AS139341ACE
3142.251.141.106United StatesUnknown
93--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC73837061B1103630A7CCEE25BB0F473520A103F806C649BA6D79E45FFAE99DD236B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lGeCYCv0YdBEJFzclT07RXfOylT9Jf8CF/QIxZ4Sy0ULFQIAzlJ7d8IEttrtiKNy:0eCYCM8BEJFYa71OylT/HF/QIxWr2b48

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73853:kTEBEDAExCkg55YaAAUDSgbBOlAZAIACUDjNK/AJS4IABg8yOOQAUSCbhBGGAgYQYBLsCUQBWSJjRhBAGJhQQIqtNCAYBNSE

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:07070f3e7cfcf8f8
Perceptual Hash:932371e0c4e0f9f9
Difference Hash:dcc8dce4e0e80010
Wavelet Hash:27070f043cfcf8f8
Color Hash:#bf408a

Other Hashes

Crop Resistant:dcc8dce4e0e80010

Scan History

Scan history not available

Unable to load historical scan data