Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

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Submitted: Jun 29, 2026, 5:37:40 AMCompleted: Jun 29, 2026, 5:38:48 AMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 10 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/biology-topics-for-students.html

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site appears to be a low‑risk informational article with no credential collection, malware, or brand impersonation indicators.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Subdomain on a hosting platform with unknown age
Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript or network activity detected
No threat‑intel or IDS alerts
Article content type (og:type=article) reduces impersonation risk
Domain age information unavailable

Details

Page Title

Biology Topics for Students: Insights into a Growing Field

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(81%)

Domain Information

The domain 'urbandailyverse-dpi45pewyddw.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'urbandailyverse-dpi45pewyddw'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Breaking it apart gives two 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/biology-topics-for-students.html

Page Load Overview

2.39s
Total Load Time
17
HTTP Requests
15
Domains
969 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:4,825 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
81%
healthcare medical
67%
blog personal website
66%
government public service
50%
adult content
49%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.21.0.120United States
AS13335Cloudflare, Inc.
187.233.135.121Netherlands
AS15703TrueFullstaq B.V.
131.3.100.122Netherlands
AS35470Signet B.V.
1176.62.169.46Ghent, Flanders, Belgium
AS34762Combell NV
1101.33.10.10Frankfurt am Main, Hesse, Germany
179.170.100.49Netherlands
AS396982Google LLC
1193.173.159.15Ouderkerk aan de Amstel, North Holland, Netherlands
AS1136KPN B.V.
1172.240.108.76United States
AS7979Servers.com, Inc.
1104.18.10.207United States
AS13335Cloudflare, Inc.
1142.250.154.95United States
AS15169Google LLC
1710--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F820B739E94212A6B120289B586B7FC793C4417E7418DE0F4EC7338AF85AC745FA754

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMzhnYf8zX+nfqqu4LH1ivOxlsUCK4rtFNjag4n+pDO8:3Qzhnz+nfqqu4LH1imxlJ4rNjag4+pJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18431:5ZyEnAkFAxHboYnQgMJCDMgEAAiOEWkVgAyQIxitcdYgBgUokkMcAAcCSDyBFoTqMEQQAMGKA0s7gTkSAgYolhIVITEEBRgU

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:e7c7ffffefc7c3c3
Perceptual Hash:e1966992cccd926d
Difference Hash:0e0e0c000e1c9292
Wavelet Hash:00c2e7ffc3c3c3c2
Color Hash:#d279bb

Other Hashes

Crop Resistant:0e0e0c000e1c9292

Scan History

Scan history not available

Unable to load historical scan data