Security Scan Report: flowers.nl

Redirected to:
https://www.flowers.nl/en-us/
Submitted: Apr 19, 2026, 12:45:29 PMCompleted: Apr 19, 2026, 12:47:10 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 5 domains to perform 332 HTTP transactions. The main domain is flowers.nl and was registered NaN years ago.

Submitted URL: https://flowers.nl

Effective URL: https://www.flowers.nl/en-us/Redirected

The Cisco Umbrella rank of the primary domain is #648,415 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears legitimate: an established flower delivery business with no phishing or malware signs.

Safety Factors
Long‑standing domain registration
Self‑branding aligns with domain name
Absence of credential or payment collection forms
No malicious indicators from IDS, YARA, or behavioral analysis
Domain age information unavailable

Details

Page Title

Flower delivery Netherlands - Same day delivery - Flowers.NL®

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the Dutch country-code top-level domain (.nl), 'flowers.nl' is registered with no subdomain. The second-level label 'flowers' is 7 characters long with two vowels and 5 consonants. It segments into one word: flowers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flowers.nl

Page Load Overview

9.55s
Total Load Time
362
HTTP Requests
11
Domains
2.0 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:9,719 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
e-commerce
60%

Detected Features

Search
Products
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
92150.171.109.100United States
90185.63.155.249Netherlands
AS12859BIT BV
90174.129.16.63Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
90142.251.13.97United States
3624--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146740AB2C3B604770273C5E8A1E96B1EB5D1821CE7416F86B1E851F73BD9FB0562229C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:SNU7Mi0qZwvqL9uEH6AP7UPCl7w7GZyEPq4xRC4Su2noBr:QMxuEH6AP7UPCl7w7GJ2not

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:339232:YAwU1KzgaMEjpCCQjFARACAjgUbgEgMAC0g8oxS9RwHChiiASFUoDJYmKOCFNeDgZgCqmRAYhkAYKCpRwEOGTwhIIBkgAiBA

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:ff00000000ffffff
Perceptual Hash:9a52f5cb8ebed040
Difference Hash:71d8982be1890821
Wavelet Hash:ff00000000ffffff
Color Hash:#537dac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data