ScanMalware.com

Security Scan Report: lensacerdascorner-dpuv9krdmclz.edgeone.app

Site favicon
Submitted: Jun 20, 2026, 9:24:15 AMCompleted: Jun 20, 2026, 9:25:33 AMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 3 countries across 7 domains to perform 2 HTTP transactions. The main domain is lensacerdascorner-dpuv9krdmclz.edgeone.app and was registered NaN years ago.

Submitted URL: https://lensacerdascorner-dpuv9krdmclz.edgeone.app/alex-pereira-salary-and-net-worth.html

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The page is an article with no forms or malicious indicators; unknown subdomain age but no brand impersonation, resulting in low risk.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain ranking (455,732) in Cisco Umbrella
Safety Factors
Content classified as an article (og:type=article)
No credential or payment fields present
No external malicious links or IDS alerts
No cross‑origin credential exfiltration observed
No brand impersonation detected
Domain age information unavailable

Details

Page Title

Alex Pereira Salary and Net Worth: A Detailed Breakdown

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(95%)

Domain Information

Domain 'lensacerdascorner-dpuv9krdmclz.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'lensacerdascorner-dpuv9krdmclz'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. Breaking it apart gives 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://lensacerdascorner-dpuv9krdmclz.edgeone.app/alex-pereira-salary-and-net-worth.html

Page Load Overview

9.76s
Total Load Time
15
HTTP Requests
12
Domains
84 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:4,101 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
95%
adult content
68%
corporate business
48%
finance banking
45%
blog personal website
36%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.18.10.207United States
AS13335Cloudflare, Inc.
274.125.29.95United States
AS15169Google LLC
2172.240.127.243United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
291.197.230.27United Kingdom
AS204436Kualo Limited
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
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

T1EB722B23AAD1613C5A320199E1C6B2FC7A6D9437A746CCF5746CB32C9B85AC3C07A358

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PnxqB0hnYf8zX+eSLQj2/Cc680Njag4n+hm:PQ0hnz+eSk6UNjag4+w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16554:SQyIXOEFyVKOzyIEEAlAozAiFShFDAGAAYQ4AAghGxIMHA4CKGLAKBEAZAkyozwwLEjhgASbH1oQAr2AS5KBHIchSDAQAFZp

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:3d1d01013d213d3d
Perceptual Hash:8a3ccf9b8e236499
Difference Hash:7171156969696961
Wavelet Hash:7f3d01013d313d3d
Color Hash:#2dc5d2

Other Hashes

Crop Resistant:7171156969696961

Scan History

Scan history not available

Unable to load historical scan data