Security Scan Report: lensanetworkcorner-dp73d2pc3rnz.edgeone.app

Site favicon
Submitted: Jun 20, 2026, 6:38:34 PMCompleted: Jun 20, 2026, 6:39:43 PMpubliccompleted
Loading additional data...

Summary

This website contacted 10 IPs in 2 countries across 11 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/australian-native-ground-cover-yellow-flowers.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 – page appears to be a legitimate article with no phishing or malware indicators.

Risk Factors
Low Cisco Umbrella ranking (455,732)
Sub‑domain creation date unknown (could be newly created)
Hosted on a generic platform sub‑domain (edgeone.app)
Safety Factors
No forms or credential collection
No malicious JavaScript or network activity detected
Content classified as documentation/technical article
Domain age information unavailable

Details

Page Title

Australian Native Ground Cover Yellow Flowers: Common Mistakes and Smarter Alternatives

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(50%)

Domain Information

You're looking at domain 'lensanetworkcorner-dp73d2pc3rnz.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'lensanetworkcorner-dp73d2pc3rnz'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. It segments into 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://lensanetworkcorner-dp73d2pc3rnz.edgeone.app/australian-native-ground-cover-yellow-flowers.html

Page Load Overview

1.69s
Total Load Time
21
HTTP Requests
19
Domains
257 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:4,219 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
50%
government public service
41%
education learning
40%
entertainment media
39%
blog personal website
36%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.150.240United States
AS13335Cloudflare, Inc.
2104.26.13.7United States
AS13335Cloudflare, Inc.
2172.67.132.31United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2172.66.140.55United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
23.161.76.68United States
AS16509Amazon.com, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2192.178.183.95United States
AS15169Google LLC
2110--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128820B2BABD0201C6A26019D64C2B3FC7D7DC426DF429EE5B8EDB33C5B85AC78571614

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMuhnYf8zX+naxII+ikA0arFpGh1W2PR9FC6Uag49UwC:3Quhnz+naxII+iPrabWm1C6Uag4mr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18499:mCMBxchoEMBIl0ig8mAJLOOAd0VFJUlDEOFQsspU4AgDAGEVNgaBSCQLmJQkFBNMwlQCGFAQHhFPAhuA0QCAkiYRCOXBQlAC

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:c3c3e7ffc3c3c3c3
Perceptual Hash:b4c3344c9ccbb663
Difference Hash:0e0e0c0006161616
Wavelet Hash:00c3c3ffc3c3c3c3
Color Hash:#ac5372

Other Hashes

Crop Resistant:0e0e0c0006161616

Scan History

Scan history not available

Unable to load historical scan data