Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

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Submitted: Jun 20, 2026, 7:31:01 AMCompleted: Jun 20, 2026, 7:32:08 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is urbandailyverse-dpi45pewyddw.edgeone.app and was registered NaN years ago.

Submitted URL: https://urbandailyverse-dpi45pewyddw.edgeone.app/alexandra-pereira-salary-as-a-speaker.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk article page with no malicious indicators; likely legitimate content.

Risk Factors
Low Cisco Umbrella ranking (455,732) – weak signal
Sub‑domain on a hosting platform with unknown age
Safety Factors
Absence of credential or payment collection forms
Article‑type content about a brand, not a login page
No malicious external links or IoC matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Alexandra Pereira Salary as a Speaker: How Rates Are Determined in Today’s Market

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(92%)

Domain Information

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 three consonants. It segments into 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/alexandra-pereira-salary-as-a-speaker.html

Page Load Overview

1.48s
Total Load Time
13
HTTP Requests
11
Domains
106 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:4,447 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
92%
blog personal website
88%
government public service
82%
adult content
77%
social media network
76%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
351.83.57.161France
AS16276OVH SAS
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2142.251.127.95United States
AS15169Google LLC
2104.18.11.207United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
136--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11472F767EF81053D9A22024A6196B3FC7A3AD827F7468CF474DCB3399BC66C72436614

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMAhnYf8zX+nHbBUgi5i6W9pUm4a7TFNjag4n+Sb:3QAhnz+nHbBUgioPNjag4+S

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17158:8gInSSYhA2BtKkWbggAwSFbGg5okIRDZSDhIABFRUAh40EBqFkKSQkMYDBDMBGFp+qgZCA4IxIUBXrIEYAKAkVACOAQAaJCs

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:c3c3efffc3cfc3c3
Perceptual Hash:b1c7312688cfd366
Difference Hash:0e0e0c001e1e1e1e
Wavelet Hash:00c2e6fec3c7c3c3
Color Hash:#2dc5d2

Other Hashes

Crop Resistant:0e0e0c001e1e1e1e

Scan History

Scan history not available

Unable to load historical scan data