Security Scan Report: www.florista.net

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Submitted: Sep 21, 2026, 9:34:11 PMCompleted: Sep 21, 2026, 9:34:54 PMpubliccompleted

This website contacted 1 IP in 1 country across 2 domains to perform 58 HTTP transactions. The main domain is florista.net and was registered 14 years ago.

Submitted URL: https://www.florista.net/shop/blog/flores-amarillas-21-de-septiembre?srsltid=AU7gw4WZQK3fN5miQtgX37EtldR8uQkgtWTw3WVBqjOSU2doWbfHnc9D

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate established florist blog article. No phishing, malware, impersonation, credential, or payment collection signals detected.

Safety Factors (5)
Established domain over 23 years old
Self-branding matches domain, no impersonation of another brand
No password, login, or payment fields present
No cross-origin credential forms or credential exfiltration
Standard blog forms only: comment, newsletter, WhatsApp contact, chat
Domain age information unavailable

Details

Page Title

Flores amarillas 21 de septiembre: origen y cuáles regalar

Scan Type

public

Domain Name Analysis

The domain 'www.florista.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'www'. The core label 'florista' covers 8 characters containing 3 vowels alongside 5 consonants. Splitting it apart reveals two words: florist, a. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.florista.net/shop/blog/flores-amarillas-21-de-septiembre?srsltid=AU7gw4WZQK3fN5miQtgX37EtldR8uQkgtWTw3WVBqjOSU2doWbfHnc9D

Page Load Overview

3.89s
Total Load Time
9.2 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:22,820 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
social media network
25%
forum
25%
news/blog
20%

Detected Features

Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5850.30.32.63St Louis, Missouri, United States
AS30083velia.net
581--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D648673C5620D88DC51FD023B343CBAD35B569769D02CA9FBE9884B6EA02335B8615F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:srUHhoJaHUAeRRepvph8XMyR+rNj6u0XRDlgACNk:EUODAeK8R6O1lgG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:320114:ATgAEMQAx2AokAjxIYQMODHSBaAnBWnvpBKAgE5CiAiKBEo0EKQQeCgAAEARkFGRpHqFQ3UszTpzACCIIIvBwCgXYEgEGXBE

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:ff00f3e3e3f3ffff
Perceptual Hash:e45f9be6a0b380e1
Difference Hash:6031060606861c9e
Wavelet Hash:ff0000c3c3c3e76f
Color Hash:#2d866d

Other Hashes

Crop Resistant:6031060606861c9e

Scan History

Scan history not available

Unable to load historical scan data