Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

Site favicon
Submitted: Jun 19, 2026, 5:07:03 PMCompleted: Jun 19, 2026, 5:08:12 PMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is urbandailyverse-dpi45pewyddw.edgeone.app and was registered NaN years ago.

Submitted URL: https://urbandailyverse-dpi45pewyddw.edgeone.app/brady-brides-get-married.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site appears to be a low‑risk informational article with no phishing, malware, or credential‑harvesting indicators.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Low Cisco Umbrella ranking (455,732) for a domain that mentions a brand
Safety Factors
Absence of forms or credential collection fields
Article classification (og:type=article) suggests benign informational content
No malicious IoC, YARA, or IDS detections
External resources are typical CDN/analytics domains
Domain age information unavailable

Details

Page Title

Brady Brides Get Married: 3 Wedding Planning Blunders and How to Sidestep Them

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(76%)

Domain Information

You're looking at domain 'urbandailyverse-dpi45pewyddw.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'urbandailyverse-dpi45pewyddw'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://urbandailyverse-dpi45pewyddw.edgeone.app/brady-brides-get-married.html

Page Load Overview

2.66s
Total Load Time
13
HTTP Requests
11
Domains
72 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:7,056 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
76%
adult content
58%
news media journalism
46%
documentation technical
39%
education learning
36%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.11.207United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
2172.240.127.242United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
2146.75.122.152Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
136--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9921A27BE80122897620147B19673FCBA3DD42BD347C8E5B4ED73286B859CB64727D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMXhnYf8zX+neWnoSFHi1/7tRNJK9RsnP2bgl8pdJiy+tQgclKJgjgFNjag46:3QXhnz+neWo4Hi1/7tRkCPLlqdJiyAQI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19600:kwYRB1E1iwTQqFRlT+IDKCSgQEIMARDQAHAWxHFABlQIgNAIogLWrGFO8BYcZhLcDEAQKIgIJyYNggqiKlYJoNBpAt5UFVBY

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:e7c3e7ffe7c3c3c3
Perceptual Hash:f4d7742c8a8a23b3
Difference Hash:0e0e0c0006161616
Wavelet Hash:00c2e6ffc3c3c3c3
Color Hash:#1f8693

Other Hashes

Crop Resistant:0e0e0c0006161616

Scan History

Scan history not available

Unable to load historical scan data