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Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

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Submitted: Jun 27, 2026, 2:49:24 PMCompleted: Jun 27, 2026, 2:50:33 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 urbandailyverse-dpi45pewyddw.edgeone.app and was registered NaN years ago.

Submitted URL: https://urbandailyverse-dpi45pewyddw.edgeone.app/alex-pereira-loss-ufc.html

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site with no malicious indicators; likely a legitimate article.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Unknown subdomain age on a generic hosting platform
Presence of external analytics and CDN domains (statcounter, fonts.googleapis.com, etc.)
Safety Factors
No forms collecting credentials or payment information
No malicious network or IDS alerts detected
Content appears to be a standard news/blog article
No malicious JavaScript behavior or exfiltration observed
Domain age information unavailable

Details

Page Title

Alex Pereira’s UFC Loss: What Went Wrong and How to Move Forward

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(88%)

Domain Information

The domain name 'urbandailyverse-dpi45pewyddw.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'urbandailyverse-dpi45pewyddw'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. Segmentation suggests 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://urbandailyverse-dpi45pewyddw.edgeone.app/alex-pereira-loss-ufc.html

Page Load Overview

1.79s
Total Load Time
13
HTTP Requests
11
Domains
512 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:3,956 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
88%
documentation technical
78%
blog personal website
74%
adult content
59%
healthcare medical
57%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
220.233.2.36Dubai, Dubai, United Arab Emirates
AS8075Microsoft Corporation
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2172.217.208.95United States
AS15169Google LLC
136--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
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

T1F972FA67FB81113DAA32015A919973EC3A39CC37D34388F4B4ACB3389B85AC77576658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMShnYf8zX+ntgDEL+SQEirHPtxZHsHc4oFNjag4n+gGn:3QShnz+nCDu+2iD7Bs8NNjag4+R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16377:EwoK+KSyR2BiiIHAUUFgAzQIQOISCQI0DcZVCCBOoNfwGAgMIOEE4MBAPWdMgBBCAAgQALsRCAYAHDHoZJboxBChEaGAgBdg

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:c3c3efffc3c3c3c3
Perceptual Hash:b5c730206e9bc736
Difference Hash:0e0e0c000616161e
Wavelet Hash:80c2e6fec3c3c3c3
Color Hash:#802d86

Other Hashes

Crop Resistant:0e0e0c000616161e

Scan History

Scan history not available

Unable to load historical scan data