Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

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Submitted: Jun 15, 2026, 6:21:07 AMCompleted: Jun 15, 2026, 6:22:20 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 9 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/advanced-higher-biology-pdf.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The page is an informational article about Lucio Tan; no malicious forms or malware were found, but the unknown‑age subdomain and brand mention on an unrelated domain give it a moderate risk rating.

Risk Factors
Unknown subdomain creation date (potentially new)
Low domain ranking
Brand mention on an unrelated domain
High JavaScript obfuscation score (minified code)
Single redirect in the navigation flow
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Content type is article/news, not a login or payment page
No external form submissions or credential exfiltration observed
Domain age information unavailable

Details

Page Title

How to Master Advanced Higher Biology—Key Resources and Study Tips

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(84%)

Domain Information

Domain 'urbandailyverse-dpi45pewyddw.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'urbandailyverse-dpi45pewyddw'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three 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/advanced-higher-biology-pdf.html

Page Load Overview

6.82s
Total Load Time
18
HTTP Requests
15
Domains
648 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:4,686 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
84%
adult content
67%
download file sharing
62%
documentation technical
58%
healthcare medical
50%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
2142.251.110.95United States
AS15169Google LLC
2172.240.108.76United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.13.132United States
AS15169Google LLC
2146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
22.21.20.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.251.14.132United States
AS15169Google LLC
2104.18.10.207United States
AS13335Cloudflare, Inc.
189--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1920A37DB80512D5F62028AA142B3FC6E38501BE7028DD4F4EDF338AF85ADB55B6564

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMJhnYf8zX+nbEIbsi9u0fcSkS1zFEI0hhtyv60JVeFNjag4n+QJ:3QJhnz+nbEIbsiv0+EqtV0Njag4+m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19958:CBmW+AUEZwRA4UAAhQIELFgFMqCQ0IkAKuJwgVUIcYQkaIBL8jGARAhDCBTFs+otcENQVQAwABAaJLEKCB4IioqFAIpFCFgE

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:c2c3e7ffc3c3c7c7
Perceptual Hash:b0473164d9d3e636
Difference Hash:0e0e0e0016161e1e
Wavelet Hash:00c2c3ffc3c3c3c7
Color Hash:#b287c5

Other Hashes

Crop Resistant:0e0e0e0016161e1e

Scan History

Scan history not available

Unable to load historical scan data