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Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

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Submitted: Jun 28, 2026, 11:07:26 AMCompleted: Jun 28, 2026, 11:08:34 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 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/arsenal-declan-rice-bid.html

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site appears to be a low‑risk news/article page with no phishing or malware indicators.

Risk Factors
Unranked domain
Subdomain on a hosting platform with unknown creation date
Safety Factors
Absence of forms that collect credentials or payment data
No malicious IDS or Safe Browsing alerts
JavaScript obfuscation score high due to typical minification, not malware
Domain age information unavailable

Details

Page Title

Arsenal's Declan Rice Bid: A Strategic Move in the Transfer Market

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(42%)

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 core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Segmentation suggests 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/arsenal-declan-rice-bid.html

Page Load Overview

2.11s
Total Load Time
13
HTTP Requests
11
Domains
31 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:2,907 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
42%
news media journalism
40%
government public service
35%
corporate
35%
corporate business
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.21.0.120United States
AS13335Cloudflare, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
2172.67.74.92United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2192.178.170.95United States
AS15169Google LLC
136--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15262FAB7AAC011389A23018592C6B2FC7A3DC02BFB87C9F4B49CB3799F826D75475654

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMyhnYf8zX+nqPmO+iWikzoTfFNjag4n+CC3:3Qyhnz+nqPmO+iWkNjag4+C+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15198:EypA2ZQ5KXRSmBmEQEmwIzQMQDJKhQC8CJR7SBFFIAfwBQsULmMmqsBQBU8YQAATACCWQRMjgQ4AgDDIYkLopDEhGIGSOFdg

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:c3c3e7ffc3c3c7c3
Perceptual Hash:f5c7306c4c9a6732
Difference Hash:0e0e0c0016161e1e
Wavelet Hash:c2c2e6fec2c2c3c3
Color Hash:#65783a

Other Hashes

Crop Resistant:0e0e0c0016161e1e

Scan History

Scan history not available

Unable to load historical scan data