Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

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Submitted: Jun 22, 2026, 11:13:18 AMCompleted: Jun 22, 2026, 11:14:28 AMpubliccompleted
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Summary

This website contacted 10 IPs in 3 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/bell-nursery-bridgeton-nj.html

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Low risk informational article; no malicious indicators detected.

Risk Factors
Low domain ranking (455,732) in Cisco Umbrella
Subdomain creation date unknown (could be brand‑new)
Safety Factors
Absence of forms that collect credentials or payment data
No brand impersonation; brand name appears only in article content
No malicious external resources or credential exfiltration observed
JavaScript obfuscation score high but attributed to normal minification
Domain age information unavailable

Details

Page Title

Bell Nursery Bridgeton NJ: Common Pitfalls and Smarter Choices for Parents

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(86%)

Domain Information

Within the application-focused generic top-level domain (.app), 'urbandailyverse-dpi45pewyddw.edgeone.app' is registered, featuring subdomain 'urbandailyverse-dpi45pewyddw'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Splitting it apart reveals 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/bell-nursery-bridgeton-nj.html

Page Load Overview

2.24s
Total Load Time
18
HTTP Requests
16
Domains
1.4 MB
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:5,786 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
86%
healthcare medical
80%
government public service
67%
forum community discussion
67%
documentation technical
43%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.21.0.120United States
AS13335Cloudflare, Inc.
1151.101.2.159United States
AS54113Fastly, Inc.
1172.217.208.95United States
AS15169Google LLC
1192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
193.119.2.168Netherlands
AS20857Signet B.V.
1172.240.108.76United States
AS7979Servers.com, Inc.
1104.18.10.207United States
AS13335Cloudflare, Inc.
1101.33.10.10Frankfurt am Main, Hesse, Germany
116.15.0.21San Jose, California, United States
AS16509Amazon.com, Inc.
118.66.112.3United States
AS16509Amazon.com, Inc.
1810--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181922B67EB80113D9B5202C9A0D1B3DCA67D9827DB86C8F1B86CB37C9B816C75072778

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMchnYf8zX+nGNiIdvadiYfdE80rYfgBS/FNjag4n+Sa:3Qchnz+nGNVdkikdE80UpNjag4+3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19565:BoGm2xjiAAEFlmQ50mMK+wBSSGHTSEYJCAJsKZQxgdBUAmABAnmKrHkFJAYQNQoZnNcQgRyQAQxDnDdwwAESCirZaoTDFPIB

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:c3c3e7ffe7c3c7c3
Perceptual Hash:b4c7345dccc33362
Difference Hash:0e0e0e00061e1e16
Wavelet Hash:80c2c3ffc3c3c3c3
Color Hash:#8be06c

Other Hashes

Crop Resistant:0e0e0e00061e1e16

Scan History

Scan history not available

Unable to load historical scan data