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Security Scan Report: britishentrepreneurblog-dp1tch41libv.edgeone.app

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Submitted: Jun 18, 2026, 3:27:07 PMCompleted: Jun 18, 2026, 3:28:14 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is britishentrepreneurblog-dp1tch41libv.edgeone.app and was registered NaN years ago.

Submitted URL: https://britishentrepreneurblog-dp1tch41libv.edgeone.app/are-the-brewers-still-playing-today.html

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Low risk – informational blog article with no malicious indicators.

Risk Factors
Domain sub‑domain on edgeone.app with unknown creation date
Low Cisco Umbrella ranking (455,732) and unranked in top 100K
Hosting on a generic platform (edgeone.app) without reputation
Safety Factors
Zero forms (no password, email, or payment fields)
No malicious IoC or YARA detections
No IDS alerts indicating phishing or malware
Content classified as an informational article about a sports team
Domain age information unavailable

Details

Page Title

Are the Brewers Still Playing Today: A Look at the Team's Current Status

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(42%)

Domain Information

The domain name 'britishentrepreneurblog-dp1tch41libv.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'britishentrepreneurblog-dp1tch41libv'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. It segments into two 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://britishentrepreneurblog-dp1tch41libv.edgeone.app/are-the-brewers-still-playing-today.html

Page Load Overview

1.47s
Total Load Time
14
HTTP Requests
11
Domains
476 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-US
Text Length:2,601 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
42%
news media journalism
39%
adult content
38%
corporate
35%
education learning
27%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.240.108.68United States
AS7979Servers.com, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2142.251.20.95United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
285.13.129.139Germany
AS34788Neue Medien Muennich GmbH
2172.67.150.240United States
AS13335Cloudflare, Inc.
146--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11462E923F9801738A3225686A1C5B2FC7D798017D3B5CCA4B4AC773C97C6EDB49B1694

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dGTthnYf8zX+ItCfaD8VrglPLOEWoNjag4n+26:0hhnz+IfVlLDNjag4+X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15314:pAoAOlibD08qBuxKMbSEiQQAYYHIAGG0KEwWIDIFp9IAOg2cAkEEGgBacgDWbBsABAUCBAgGAMgVKHCwIB+PQAz5BWAsihMg

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:82c7ffffc7cf8383
Perceptual Hash:bdc53c386531c3d2
Difference Hash:1626000a0e3e3e37
Wavelet Hash:82fefec2c3838383
Color Hash:#2d865f

Other Hashes

Crop Resistant:1626000a0e3e3e37

Scan History

Scan history not available

Unable to load historical scan data