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Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

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Submitted: Jun 27, 2026, 10:21:20 PMCompleted: Jun 27, 2026, 10:23:10 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/acl-in-austin-texas.html

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Low‑risk site; no malicious indicators detected, likely a benign article.

Risk Factors
Domain is unranked in Cisco Umbrella
Sub‑domain on a hosting platform with unknown age
Safety Factors
Absence of forms that collect credentials or payment data
No malicious network or IDS alerts
No external malicious resources loaded
Content appears to be a news/article page
Domain age information unavailable

Details

Page Title

ACL in Austin Texas: Common Mistakes and Smarter Alternatives

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(85%)

Domain Information

The domain 'urbandailyverse-dpi45pewyddw.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'urbandailyverse-dpi45pewyddw'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Word splitting yields 2 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://urbandailyverse-dpi45pewyddw.edgeone.app/acl-in-austin-texas.html

Page Load Overview

43.71s
Total Load Time
14
HTTP Requests
12
Domains
284 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:2,739 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
85%
government public service
57%
blog personal website
47%
adult content
44%
education learning
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
445.43.142.102United Kingdom
AS16276OVH SAS
2104.18.11.207United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2142.251.13.95United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
146--

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

T14F620967FEC1502C9662028A6182B7FC7A7D8027E742CCF5B4ADB3788BC66C75472724

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMVhnYf8zX+nhag5si8UQTE/AtKFNjag4n+qU:3QVhnz+nhag5si8gRNjag4+t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14831:hg4rrAiQE1ri3CQMRABgAkB8QxbESzHYXAE4RREACifhQgRsoIUM0ERCMDzkKpRJACEgBQSAgAwdXliUICa8+CFLCJkAUVQJ

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:c3c3e7ffc3c7c3c3
Perceptual Hash:b547302eccd3c732
Difference Hash:0e0e0c00161e1e1e
Wavelet Hash:00c2c2fec3dfc3c3
Color Hash:#bf40aa

Other Hashes

Crop Resistant:0e0e0c00161e1e1e

Scan History

Scan history not available

Unable to load historical scan data