ScanMalware.com

Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

Site favicon
Submitted: Jun 26, 2026, 4:13:57 AMCompleted: Jun 26, 2026, 4:15:06 AMpubliccompleted
Loading additional data...

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/biology-for-class-9.html

AI Security Verdict

Low Risk

Confidence: 60%

2
Risk Score

Informational health article with no malicious indicators; low risk.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Subdomain creation date unknown (potentially brand‑new)
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript or credential exfiltration observed
Content is an informational health article (og:type=article)
External resources are common CDNs and analytics services
Domain age information unavailable

Details

Page Title

Understanding Colorectal Cancer: Key Symptoms and What to Watch For

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(91%)

Domain Information

Domain 'urbandailyverse-dpi45pewyddw.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'urbandailyverse-dpi45pewyddw'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. It segments into 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://urbandailyverse-dpi45pewyddw.edgeone.app/biology-for-class-9.html

Page Load Overview

2.07s
Total Load Time
14
HTTP Requests
11
Domains
80 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:2,805 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
91%
adult content
75%
blog personal website
73%
education learning
73%
government public service
68%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.21.0.120United States
AS13335Cloudflare, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
22.21.20.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2172.240.108.76United States
AS7979Servers.com, Inc.
2142.251.13.95United States
AS15169Google LLC
146--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Akamai Bot Manager
30%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF62E873AF80102C5922128D918273EC7A3D842BFB479CF4B4EDB3389BC56CB6476664

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqM1hnYf8zX+nyuphCiCZBAXQLPTFNjag4n+Dq:3Q1hnz+nyuphCigsQ1Njag4+e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15419:IwqDqgoxQQhIlP0IaZggCwUIYsBjiwFUCAzTIQAYaU01AFAyCSMggMhKaIVWTAoQIIQAJpkCoE4RDBEUZoIIkCjRVMA0gjaC

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:e7c3e7ffc7cfc7c7
Perceptual Hash:b3cc33cc33cc3364
Difference Hash:0e0e0e000e161e0c
Wavelet Hash:80c2c2fec3c7c3c7
Color Hash:#d2772d

Other Hashes

Crop Resistant:0e0e0e000e161e0c

Scan History

Scan history not available

Unable to load historical scan data