Security Scan Report: lensanetworkcorner-dp73d2pc3rnz.edgeone.app

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Submitted: Jun 17, 2026, 10:04:02 PMCompleted: Jun 17, 2026, 10:05:10 PMpubliccompleted
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Summary

This website contacted 9 IPs in 4 countries across 10 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/all-spanish-numbers-1-30.html

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Low‑risk informational page; no phishing, malware, or credential harvesting observed.

Risk Factors
Subdomain on hosting platform (.edgeone.app) with unknown creation date
Safety Factors
Informational article content only
No external links to known malicious domains
Low Cisco Umbrella ranking does not imply malicious intent without other signals
No credential exfiltration or cross‑origin form submissions
Domain age information unavailable

Details

Page Title

Mastering All Spanish Numbers 1-30: A Practical Decision Guide

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(59%)

Domain Information

The domain name 'lensanetworkcorner-dp73d2pc3rnz.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'lensanetworkcorner-dp73d2pc3rnz'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lensanetworkcorner-dp73d2pc3rnz.edgeone.app/all-spanish-numbers-1-30.html

Page Load Overview

1.54s
Total Load Time
18
HTTP Requests
16
Domains
3.1 MB
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:3,351 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
59%
adult content
44%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.18.11.207United States
AS13335Cloudflare, Inc.
245.133.44.4Philadelphia, Pennsylvania, United States
AS39572DataWeb Global Group B.V.
2104.21.10.77United States
AS13335Cloudflare, Inc.
262.112.8.21Naaldwijk, South Holland, Netherlands
AS49981WorldStream B.V.
243.152.26.58Singapore
2192.178.183.95United States
AS15169Google LLC
279.127.216.204Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2172.240.127.243United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
189--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8821B3BEFC0152CA6210245A592B2FCB939C826E75788F4B86CF3399B831CF6471624

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqM6hnYf8zX+nnPynQwnXDMpi4uOaYCuOUUbu316MWlXm9H6FC6Uag49UKu:3Q6hnz+nnPynQwnXDMpieVFU63wMz9Hb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17832:JncFiTAAkYo5UIRMApwi2fYAwLBwCY0AMjSSEgwCkAEBSRApFosSI3HDmUTDGgJIorDCFBhQgUTvChAgoCIQcaAAkCQ4dLPl

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:c3c3ffffc3c3c3c3
Perceptual Hash:b0c7347565d36632
Difference Hash:0e0e0800061e1616
Wavelet Hash:00c2e7ffc3c3c3c2
Color Hash:#bf4084

Other Hashes

Crop Resistant:0e0e0800061e1616

Scan History

Scan history not available

Unable to load historical scan data