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Security Scan Report: urbandailyverse-dpi45pewyddw.edgeone.app

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Submitted: Jun 26, 2026, 12:27:29 AMCompleted: Jun 26, 2026, 12:28:38 AMpubliccompleted
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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/alexandra-pereira-salary-per-year.html

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Low‑risk site with no malicious indicators; appears to be a legitimate article.

Risk Factors
Domain age unknown (subdomain on edgeone.app)
Domain is unranked in Cisco Umbrella
Safety Factors
Absence of forms that collect credentials or payment data
No malicious IoC or YARA detections
No IDS alerts indicating phishing or malware
Content appears to be a standard informational article
Domain age information unavailable

Details

Page Title

Alexandra Pereira Salary Per Year: Insights and Industry Trends

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(90%)

Domain Information

The 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 holding four vowels versus three consonants. Word splitting yields two 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/alexandra-pereira-salary-per-year.html

Page Load Overview

1.94s
Total Load Time
15
HTTP Requests
12
Domains
64 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:4,151 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
90%
social media network
86%
adult content
62%
corporate business
53%
news media journalism
50%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.20.95United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.108.84United States
AS7979Servers.com, Inc.
2146.75.122.62Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
156--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18672E927BB81513D9B7202D5B1D6B2FC79398823E7478CF0B49C73249B866CB54356A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMuhnYf8zX+nW9H7KIC6iGdAux5b6NFNjag4n++2:3Quhnz+nW9bFBi+eNjag4+H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17405:A5EcqAUALABY0koAiSBxixkARVtSCQA5kAKVUBEgAU+ooTAdAAG0gOHLMCZhnAyfQCggCAOwAQYjEVICAlgJsKSXADBRKBYz

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:c3c3e7ffc3c3c3c3
Perceptual Hash:b5c73028ccd37726
Difference Hash:0e0e0c00061e1e16
Wavelet Hash:c2c2c2fec3c3c3c3
Color Hash:#c5bd87

Other Hashes

Crop Resistant:0e0e0c00061e1e16

Scan History

Scan history not available

Unable to load historical scan data