Security Scan Report: konacoffeelandhugo-dipone9vz8.edgeone.app

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Submitted: May 21, 2026, 8:10:15 AMCompleted: May 21, 2026, 8:12:08 AMpubliccompleted
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Summary

This website contacted 22 IPs in 4 countries across 23 domains to perform 34 HTTP transactions. The main domain is konacoffeelandhugo-dipone9vz8.edgeone.app and was registered NaN years ago.

Submitted URL: https://konacoffeelandhugo-dipone9vz8.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: 75%

6
Risk Score

The site shows moderate risk due to unknown subdomain age, low reputation, brand mention, high JS obfuscation, and many redirects, but lacks phishing or malware indicators.

Risk Factors
Unknown subdomain age
Low domain reputation
Multiple redirects
High JS obfuscation
Brand mention without official claim
Safety Factors
No forms or credential fields
No payment fields
No Indicators of Compromise matches
No JavaScript malware YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Downton Abbey star Jessica Brown Findlay unveils decadent wedding cake

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(50%)

Domain Information

The domain name 'konacoffeelandhugo-dipone9vz8.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'konacoffeelandhugo-dipone9vz8'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Breaking it apart gives 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://konacoffeelandhugo-dipone9vz8.edgeone.app/

Page Load Overview

21.93s
Total Load Time
57
HTTP Requests
28
Domains
2.1 MB
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-US
Text Length:1,845 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
50%
documentation technical
49%
adult content
41%
healthcare medical
39%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1518.66.102.107United States
AS16509Amazon.com, Inc.
2142.251.13.95United States
AS15169Google LLC
2146.75.121.246Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2103.224.212.206Australia
AS133618Trellian Pty. Limited
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2146.75.121.242Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
223.36.162.209Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.16.29.106United States
AS13335Cloudflare, Inc.
252.57.221.121Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5722--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DB20B37F084293E530613C1909172FDB21BAA07DB9789D5B7FBB36396C2AD64D22426

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GRhnYf8zX+tQkpJ/cW6GxXhRJf8ORVJIQJAYJMLMgMK5YWtILacYYrWag4MDw:FRhnz+tQkpJUAxXhRJEORVnKY+95YW+b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23935:EFETeIBBcASC20DYYJAARmSJBDQJBQAUQseCCoBsCABWgRhADGzA4gh4BVwYccWWQBDB25jWyEGgJrACAoQADLYIsMEhEYfA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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