Security Scan Report: lensacerdascorner-dpuv9krdmclz.edgeone.app

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Submitted: Jun 20, 2026, 6:21:06 PMCompleted: Jun 20, 2026, 6:22:14 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is lensacerdascorner-dpuv9krdmclz.edgeone.app and was registered NaN years ago.

Submitted URL: https://lensacerdascorner-dpuv9krdmclz.edgeone.app/alpine-strawberry-growing-condition.html

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

AI Security Verdict

Moderate Risk

Confidence: 85%

4
Risk Score

The page appears to be a benign informational article with no phishing, credential harvesting, or malware indicators.

Risk Factors
Subdomain on a generic hosting platform (edgeone.app) with unknown age
Low Cisco Umbrella ranking (455,732) for the domain
Safety Factors
Content is an article about alpine strawberry growing conditions
No external links to known malicious domains
No cross‑origin credential exfiltration observed
No brand impersonation in meta tags or page content
Domain age information unavailable

Details

Page Title

Alpine Strawberry Growing Conditions: A Beginner’s Guide to Success

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(44%)

Domain Information

The domain 'lensacerdascorner-dpuv9krdmclz.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'lensacerdascorner-dpuv9krdmclz'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Word splitting yields two 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://lensacerdascorner-dpuv9krdmclz.edgeone.app/alpine-strawberry-growing-condition.html

Page Load Overview

1.78s
Total Load Time
19
HTTP Requests
14
Domains
213 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:5,338 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
44%
healthcare medical
37%
corporate
35%
adult content
35%
education learning
34%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2104.244.74.128Switzerland
AS53667FranTech Solutions
2104.18.11.207United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2104.26.10.39United States
AS13335Cloudflare, Inc.
2172.217.208.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.21.33.84United States
AS13335Cloudflare, Inc.
198--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D822A379A91213D67220149B1D3B2ECB93D9037EB528CF4749DB32D9F862CB507A798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PnxqB0hnYf8zX++nz73TWSABmAwkOFZZpwXxFp80Njag4n+RP7:PQ0hnz++nz73TWSABmACFZZpwXxFRNjf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18995:kBgYBTRYUhAoBKgCQ1yAowAIBABGBBSgG6IQggQIEJxH6BCc8gNECwHETAVBClAQAEBD0JQIkCFxAAtwsOQAUIRQBYQcQEMD

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:3d3d01013d393d3d
Perceptual Hash:8a3ccfdf363420cc
Difference Hash:6171310d61616161
Wavelet Hash:393d19013d393d3d
Color Hash:#a240bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data