Security Scan Report: collector-se.notino.luigisbox.com

Submitted: Nov 24, 2025, 1:00:34 AMCompleted: Nov 24, 2025, 1:03:16 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is collector-se.notino.luigisbox.com and was registered NaN years ago.

Submitted URL: https://collector-se.notino.luigisbox.com/

The Cisco Umbrella rank of the primary domain is #84,548 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain
High Cisco Umbrella ranking
No suspicious content or forms
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'collector-se.notino.luigisbox.com' on the commercial generic top-level domain (.com) with subdomain 'collector-se.notino'. Its registrable label 'luigisbox' stretches across 9 characters with four vowels and 5 consonants. Tokenizing the label suggests 3 words: luigi, s, box. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://collector-se.notino.luigisbox.com/

Page Load Overview

0.16s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:33 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.78.118.246Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
118.193.211.57Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10ED02272C460011E1132EAECCD82A6088AC6B309A0314C01B1C0E0A4C9C7A0EC853288

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iLy/ehAvMFjJVsmS8K4FLfRRyIdlEbXItj:qzxV/5VHHQYk/B96zWhuMZJVjNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:503f4291b08d6020ed6edfa3e7cbfc20

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:00ffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#8b79d2

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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