Security Scan Report: lensanetworkblog-dpmeobwj7c3a.edgeone.app

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Submitted: Jun 20, 2026, 5:32:43 PMCompleted: Jun 20, 2026, 5:33:51 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 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-vs-magomed-ankalaev-winner.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low risk – the page is an informational article with no malicious indicators.

Risk Factors
Domain age unknown (subdomain on edgeone.app)
Low Cisco Umbrella ranking (455,732) for a subdomain claiming no brand
Safety Factors
Content appears to be a news‑style article about a sports event
No credential or payment collection mechanisms
No malicious JavaScript or external command‑and‑control activity
Domain age information unavailable

Details

Page Title

Alex Pereira's Dominant Performance Against Magomed Ankalaev

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(78%)

Domain Information

The domain 'lensanetworkblog-dpmeobwj7c3a.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'lensanetworkblog-dpmeobwj7c3a'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. It segments into 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://lensanetworkblog-dpmeobwj7c3a.edgeone.app/alex-pereira-vs-magomed-ankalaev-winner.html

Page Load Overview

1.74s
Total Load Time
17
HTTP Requests
13
Domains
203 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:3,241 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
78%
forum community discussion
56%
download file sharing
52%
education learning
47%
government public service
46%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.26.6.127United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
251.81.67.66Oakton, Virginia, United States
AS16276OVH SAS
2142.251.20.132United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2147.135.70.162Oakton, Virginia, United States
AS16276OVH SAS
178--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15972F677FBC06134A66305199485F2FC7E78842AD352C9B074ADB328DBC2AEB587974C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SG0hnYf8zX+fQv2xwl6x37sIwx33uBxoNjag4n+AFF:R0hnz+YvoY3x3Njag4+g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16673:gh0SIsCFGR/AUMYijwUr4yKPEDEATADKJkBUwwCAS5AEjKIBQwBZljMTBKA8ASAJqKi8IgoQVQQ/BkSQCCGrkBOMFZ4BAMRl

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:1020000000007870
Perceptual Hash:c639c639ccce38c6
Difference Hash:f1d14141c1d9e5c5
Wavelet Hash:197901017d7d7979
Color Hash:#d2799a

Scan History

Scan history not available

Unable to load historical scan data