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Security Scan Report: smoggy-beige-x0nixx9sam-wl3f6qiyhc.edgeone.app

Submitted: Mar 18, 2026, 2:23:35 PMCompleted: Mar 18, 2026, 2:24:52 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 15 HTTP transactions. The main domain is smoggy-beige-x0nixx9sam-wl3f6qiyhc.edgeone.app and was registered NaN years ago.

Submitted URL: https://smoggy-beige-x0nixx9sam-wl3f6qiyhc.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

Legitimate local coffee shop page with minimal risk.

Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise detected
Standard external resources only (cdnjs, Google fonts, Unsplash)
Content appears to be a legitimate local business (coffee shop)
Hosted on reputable edgeone.app platform
Domain age information unavailable

Details

Page Title

Kopi Semarang Tengah - Best Coffee in Semarang Central

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'smoggy-beige-x0nixx9sam-wl3f6qiyhc.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'smoggy-beige-x0nixx9sam-wl3f6qiyhc'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Splitting it apart reveals 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://smoggy-beige-x0nixx9sam-wl3f6qiyhc.edgeone.app/

Page Load Overview

6.42s
Total Load Time
14
HTTP Requests
6
Domains
523 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:1,003 chars
Detector Agreement:75%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
243.152.26.58Singapore
AS139341ACE
2142.250.186.42United States
AS139341
2216.58.206.35Unknown
AS13335
2104.17.25.14United States
AS13335Cloudflare, Inc.
2142.250.201.164UnknownUnknown
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Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18412B76315E011175083E1907992571E9BB2C207CB8B8A2B3B6D4685EF8FD99CED314F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:8S+F9ZIG6baGSi9LZAKrwRoeMszFzI0C0K55drk+4xzKx9T8hAy0iJHu5B61IZZE:8SU9ZIupyARu5UajVuwWEbxvDie6zfj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9343:WwQExKIRlYIAiECQTmhwRekVAyDK4g0yQJkRguBmQMoEhiCAGDIIgAxSgIIABACCAmFoVQEjGZIAiOBk6wshABSACBlBqSgC

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:ff18383e0c4c0010
Perceptual Hash:818cecf197f7908a
Difference Hash:b3b3f5d8d998d9f0
Wavelet Hash:ff797c3e0c4c6810
Color Hash:#862d7d

Other Hashes

Crop Resistant:b3b3f5d8d998d9f0,151d6d4544556468,3e3a2bb3dab55f5b,c1d694e4f6f777e7,b3b3d4d8d898d8f0

Scan History

Scan history not available

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