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Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

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Submitted: Jun 17, 2026, 2:49:06 PMCompleted: Jun 17, 2026, 2:50:15 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/avengers-hawkeye-girls-fan-art.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

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

Risk Factors
Subdomain on a hosting platform with unknown creation date (potentially new)
Safety Factors
Absence of credential or payment collection forms
Content appears to be a simple article about a public figure
No malicious network or IDS alerts
No external link matches to known malicious domains
Domain age information unavailable

Details

Page Title

Avengers Hawkeye Girls Fan Art: A Look at the Trend

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(99%)

Domain Information

The domain name 'urbandailyverse-dpi45pewyddw.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'urbandailyverse-dpi45pewyddw'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://urbandailyverse-dpi45pewyddw.edgeone.app/avengers-hawkeye-girls-fan-art.html

Page Load Overview

1.88s
Total Load Time
13
HTTP Requests
11
Domains
140 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:2,953 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
99%
entertainment media
99%
blog personal website
96%
government public service
85%
download file sharing
75%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3212.227.227.49Spain
AS8560IONOS SE
2142.251.14.95United States
AS15169Google LLC
2172.240.108.76United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
AS139341ACE
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
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

T13B62FA23EEC1112D5B220386A19673FC79399437F786C8F4B49DB3388B8AACB5471A54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMbhhnYf8zX+nmUki/kJikcPiHKaWIYXezMua6qV0hfQMvFDiFNjag4n+EFS:3QVhnz+nm/isJBcPisIUfudvh4MvFDov

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15487:I6rByQggEVJQgwAA2AkwsA1DSeAEiYAYyDBYQhmQkQQgEkByAjeGhcJCFOWnWFhJQBA0EZJUSScQgtMRQCIooQIBALATYNEb

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:c3c3efffc3c7c3c3
Perceptual Hash:b5c731306cd9c636
Difference Hash:0e0e0800061e1e16
Wavelet Hash:00c2fefec2c7c3c2
Color Hash:#d2799a

Other Hashes

Crop Resistant:0e0e0800061e1e16

Scan History

Scan history not available

Unable to load historical scan data