Security Scan Report: www.luma.org

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Submitted: Dec 5, 2025, 11:39:38 PMCompleted: Dec 5, 2025, 11:42:15 PMpubliccompleted
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Summary

This website contacted 83 IPs in 4 countries across 30 domains to perform 174 HTTP transactions. The main domain is luma.org and was registered NaN years ago.

Submitted URL: https://www.luma.org/en/arles/about-us/parc-des-ateliers/the-tower.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate cultural institution website with no security concerns.

Safety Factors
Established domain with long history
Visible physical address and phone number
No suspicious redirects or hidden fields
Only standard informational and newsletter email form
Domain age information unavailable

Details

Page Title

The Tower | LUMA Arles

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

You're looking at domain 'www.luma.org' on the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The core label 'luma' covers 4 characters split between two vowels and two consonants. It segments into one word: luma. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.luma.org/en/arles/about-us/parc-des-ateliers/the-tower.html

Page Load Overview

2.77s
Total Load Time
174
HTTP Requests
30
Domains
30.8 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
Text Length:9,587 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
42185.75.71.172France
AS207225Infinity Telecom SAS
39157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
17104.18.87.42United States
AS13335CLOUDFLARENET
163.174.52.80United States
AS16509AMAZON-02
1074.125.206.156United States
AS15169GOOGLE
9216.239.34.36United States
AS15169GOOGLE
5172.217.23.104United States
AS15169GOOGLE
423.56.207.178Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
3142.250.184.195United States
AS15169GOOGLE
374.125.206.155United States
AS15169GOOGLE
17483--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173A4F652AAA42139A5C79F4AA09D6578353D9897FE2313CCF10C63B84B96F922D31F07

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:oHrDIUsByYe9Y0LYsgy+PdBV0oVEigCtL5rOUX43YQlEEH9f0+FET1ZN0mzSDO3K:XTe9Y0LYsgy+PbV0oVEigCtL5rOUX43x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:468370:rAxqwI1SEAwIawihAOQAngogBBwgOuEcqWBQgMEQQMmAApgBaRFA0aFVQI1AAaAURKpBVPISnF0dXAAjoQAIEFYQWQaYATAM

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:ff001818351302f9
Perceptual Hash:8992e3b6cb9cc895
Difference Hash:d8d9b3f3e5b55653
Wavelet Hash:ff001939373303f9
Color Hash:#64d22d

Scan History

Scan history not available

Unable to load historical scan data