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Security Scan Report: lensanetworkblog-dpmeobwj7c3a.edgeone.app

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Submitted: Jun 18, 2026, 9:11:10 AMCompleted: Jun 18, 2026, 9:12:20 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is lensanetworkblog-dpmeobwj7c3a.edgeone.app and was registered NaN years ago.

Submitted URL: https://lensanetworkblog-dpmeobwj7c3a.edgeone.app/alex-pereira-salary-in-mma.html

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

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Low risk site with no malicious indicators; likely a legitimate blog article.

Risk Factors
Low domain ranking (455,732 in Cisco Umbrella)
Subdomain on a hosting platform with unknown creation date
Safety Factors
No credential or payment collection forms
No malicious IoC, YARA, or IDS alerts
Content appears to be a benign article about a public figure
Domain age information unavailable

Details

Page Title

Alex Pereira Salary in MMA: Latest Earnings and Contract Details

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(50%)

Domain Information

The domain name 'lensanetworkblog-dpmeobwj7c3a.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'lensanetworkblog-dpmeobwj7c3a'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Word splitting yields 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lensanetworkblog-dpmeobwj7c3a.edgeone.app/alex-pereira-salary-in-mma.html

Page Load Overview

1.75s
Total Load Time
13
HTTP Requests
10
Domains
24 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:2,765 chars
Detector Agreement:80%

Website Classification

Primary Category

finance banking50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
50%
documentation technical
47%
blog personal website
43%
adult content
38%
news media journalism
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.20.95United States
AS15169Google LLC
2172.240.108.84United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.20.39.37United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
135--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17862E827BAC291386B310265E4C5B3FC7A7C8816E3438CE1B9DD672597C66EB987530C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SG9hnYf8zX+Vmskm1mkmJl6amZ/6hc5WooroNjag4n+7Q:R9hnz+Vmskm1mkmJrmZ/6hEQcNjag4+c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14968:DZVZIDULYFp6k+LNCEiqXGBQGKhgCABMdAUAFAYkgxAgDXNRgCUMEIHYSVkUTGwKGiwAggsICYoul0AmBMAmfCSMCRAQBKCA

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:197901013c317d7d
Perceptual Hash:ca3dc9cc1c3e3c38
Difference Hash:f1c10161d1c1c1c1
Wavelet Hash:197901017d717d7d
Color Hash:#d2799a

Other Hashes

Crop Resistant:f1c10161d1c1c1c1

Scan History

Scan history not available

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