Security Scan Report: lensanetworkblog-dpmeobwj7c3a.edgeone.app

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Submitted: Jun 26, 2026, 8:30:39 PMCompleted: Jun 26, 2026, 8:31:48 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 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-fight-free.html

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Low risk site with no malicious indicators; likely a benign article page.

Risk Factors
Unknown subdomain creation date
Domain is unranked in Cisco Umbrella
Hosted on a generic hosting platform (edgeone.app)
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript behavior or network exfiltration
Content appears to be a benign article
Domain age information unavailable

Details

Page Title

lensanetworkblog-dpmeobwj7c3a.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(55%)

Domain Information

The domain 'lensanetworkblog-dpmeobwj7c3a.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'lensanetworkblog-dpmeobwj7c3a'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Segmentation suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lensanetworkblog-dpmeobwj7c3a.edgeone.app/alex-pereira-fight-free.html

Page Load Overview

1.87s
Total Load Time
13
HTTP Requests
10
Domains
116 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:3,772 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
55%
government public service
38%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13101.33.10.10Frankfurt am Main, Hesse, Germany
131--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:R/Qho9PKBb9Js3q9Jzbs6tlg1ySBKw4Q9gcoIsPT2bMy8Oldj:yhoC9JSqzzbs6okSCggcpsb2eAd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185293:xpQwSMGYgwBApIIAAmwCiBuA3ZaIQRrcqQAUw1OHBGeJUxYAYADIP41UiACeAoWACQGUQGIMLA4pIcaKcQXgAAAEAQTQBhAF

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:ffdfc7f300000000
Color Hash:#6cb3e0

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data