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Security Scan Report: lensanetworkblog-dpmeobwj7c3a.edgeone.app

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Submitted: Jun 22, 2026, 6:30:29 AMCompleted: Jun 22, 2026, 6:31:37 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 9 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/acl-live-3-colours-red.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 informational article with no malicious indicators detected.

Risk Factors
Subdomain on edgeone.app with unknown creation date (potentially brand‑new)
Low Cisco Umbrella ranking (455,732) for the subdomain
Safety Factors
Page is classified as an article (og:type=article) – informational content
Absence of forms or credential collection mechanisms
No external links to known malicious domains
JavaScript obfuscation score high but consistent with normal minification
No external resources flagged by threat intelligence
Domain age information unavailable

Details

Page Title

Acl Live & 3 Colours Red: Understanding Surgical Scalpels

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(77%)

Domain Information

You're looking at domain 'lensanetworkblog-dpmeobwj7c3a.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'lensanetworkblog-dpmeobwj7c3a'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three 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://lensanetworkblog-dpmeobwj7c3a.edgeone.app/acl-live-3-colours-red.html

Page Load Overview

1.84s
Total Load Time
19
HTTP Requests
15
Domains
191 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:2,811 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
77%
education learning
57%
documentation technical
54%
blog personal website
54%
government public service
54%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
354.192.35.2United States
AS16509Amazon.com, Inc.
23.161.82.122United States
AS16509Amazon.com, Inc.
2110.232.143.83Brisbane, Queensland, Australia
AS45638SYNERGY WHOLESALE PTY LTD
254.192.35.30United States
AS16509Amazon.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
254.192.35.60United States
AS16509Amazon.com, Inc.
2192.178.183.95United States
AS15169Google LLC
2172.240.108.68United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
199--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15672E953EBC871182A610055E2D6B3EC796C8136E7068CE4BCAC773D9FC57DB6872229

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SGvhnYf8zX+l6l6DGAt89JnBSwl0WESksWdxPBoNjag4n+cp:Rvhnz+l6WGEWBS38WdxqNjag4+C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16278:AAVVowAoEgslrOe0zskDTaCAACUqGNAA0lgnUEMc6VAEe2HLPBneaSoBEAKQZAkgNAAkCCwEICwKKkZAUCcEeBidaYyaBfhA

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:0000000000007e7e
Perceptual Hash:826dd26d969e3992
Difference Hash:f1c10161c1c1dcdc
Wavelet Hash:197901013d617f7f
Color Hash:#93841f

Other Hashes

Crop Resistant:564680060000200e,08480c8ccace8c4d,f1c10161c1c1dcdc

Scan History

Scan history not available

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