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Security Scan Report: lensanetworkcorner-dp73d2pc3rnz.edgeone.app

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Submitted: Jun 16, 2026, 11:49:17 AMCompleted: Jun 16, 2026, 11:50:29 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 7 domains to perform 2 HTTP transactions. The main domain is lensanetworkcorner-dp73d2pc3rnz.edgeone.app and was registered NaN years ago.

Submitted URL: https://lensanetworkcorner-dp73d2pc3rnz.edgeone.app/alex-pereira-boxing-gloves.html

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

AI Security Verdict

Moderate Risk

Confidence: 85%

4
Risk Score

The site appears to be a content article with no credential collection; moderate risk due to heavy JS obfuscation and unknown subdomain age.

Risk Factors
High JavaScript obfuscation score
Subdomain on a hosting platform with unknown age
Safety Factors
No forms collecting credentials or payment data
No malicious IoC, YARA, or IDS alerts
Page marked as an article (og:type=article) indicating reporting, not impersonation
Low domain ranking does not imply phishing without other signals
Domain age information unavailable

Details

Page Title

Alex Pereira: The Making of the Unbeatable Fighter

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(47%)

Domain Information

Domain 'lensanetworkcorner-dp73d2pc3rnz.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'lensanetworkcorner-dp73d2pc3rnz'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. It segments into two 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://lensanetworkcorner-dp73d2pc3rnz.edgeone.app/alex-pereira-boxing-gloves.html

Page Load Overview

1.98s
Total Load Time
14
HTTP Requests
12
Domains
124 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:3,100 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
47%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
474.125.29.95United States
AS15169Google LLC
2104.18.11.207United States
AS13335Cloudflare, Inc.
2176.9.51.221Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
2172.240.127.244United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
146--

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

T1C962D867EB9151396B220186A0D972EC3D798827DB83CCF4B0ACA33C9BC36D76475658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqM0hnYf8zX+naJq9sirMPSNRUYPmwFrWag4MVAo:3Q0hnz+naJq9siQideSrWag4WP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15515:lgIEuhiCpUBihuCMQRChDB8BYlNASxBxSMSSwQCFWkU4CIIMfGlBxMzOB0SiBAAoBWaBCRBDBCUAIBQ4HBsZhABhnIAgWjk6

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:c3c3ffffc3cfc3c3
Perceptual Hash:b5c730226cdf9326
Difference Hash:0e0e0800161e1e16
Wavelet Hash:00c2fefec2c7c3c2
Color Hash:#8e87c5

Other Hashes

Crop Resistant:0e0e0800161e1e16

Scan History

Scan history not available

Unable to load historical scan data