Security Scan Report: britishentrepreneurblog-dp1tch41libv.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 11 domains to perform 14 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://britishentrepreneurblog-dp1tch41libv.edgeone.app/brewers-game-time-tonight.html

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

Moderate risk due to brand impersonation on an unknown‑age hosting subdomain, but no credential collection observed.

Risk Factors (4)
Brand impersonation / typosquatting
Unknown subdomain age (could be brand‑new)
Low domain reputation rank
Hosted on a generic hosting platform subdomain
Safety Factors (4)
No forms collecting credentials or payment data
No malicious JavaScript patterns or exfiltration behavior
No network IDS alerts or IoC matches
Page type is an article (og:type=article) reporting on a sports event
Domain age information unavailable

Details

Page Title

What Time Do the Brewers Play Tonight? Key Details for Fans

Scan Type

public

Domain Name Analysis

The domain 'britishentrepreneurblog-dp1tch41libv.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'britishentrepreneurblog-dp1tch41libv'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. It segments into 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://britishentrepreneurblog-dp1tch41libv.edgeone.app/brewers-game-time-tonight.html

Page Load Overview

1.73s
Total Load Time
156 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:2,513 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
75%
entertainment media
64%
news media journalism
53%
government public service
50%
adult content
45%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
423.36.162.197Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2172.240.127.242United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.20.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.240.127.244United States
AS7979Servers.com, Inc.
146--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A62D567BB8012287A312196A195B3FC796D842BD3928DE0B4DDF73C8BCB6CB5475280

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dGchnYf8zX+3k8qD8D8CpJDTqrCoNjag4n+Oiut:0chnz+3k8qD8pplTYPNjag4+C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15426:XmiIQcWVgTR1gHkSUJQCQgx9pbMECwRiKQi0AEJFNAAIIgIAICAiEkExMgxzwRI0C4IqgCIAILvWIJOIKwfp6oBjJKAoBMUS

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:8287ffffff838383
Perceptual Hash:bdc638384779c1c3
Difference Hash:1e2c00223a1b1b3f
Wavelet Hash:00befec2be818f83
Color Hash:#ac5372

Other Hashes

Crop Resistant:1e2c00223a1b1b3f

Scan History

Scan history not available

Unable to load historical scan data