Security Scan Report: comune.sillanogiuncugnano.lu.it

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Submitted: Dec 29, 2025, 10:40:07 AMCompleted: Dec 29, 2025, 10:41:31 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 94 HTTP transactions. The main domain is comune.sillanogiuncugnano.lu.it.

Submitted URL: https://comune.sillanogiuncugnano.lu.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal site with no detected threats.

Safety Factors
Official-looking municipal domain
Absence of password, email, or payment fields
No suspicious external resources
Domain age information unavailable

Details

Page Title

Comune di Sillano Giuncugnano – Sito ufficiale

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

adult content

(81%)

Domain Information

The domain name 'comune.sillanogiuncugnano.lu.it' uses the Italian country-code top-level domain (.lu.it), featuring subdomain 'comune'. The second-level label 'sillanogiuncugnano' is 18 characters long holding eight vowels versus ten consonants. Word splitting yields six words: silla, no, gi, unc, ug, nano. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://comune.sillanogiuncugnano.lu.it/

Page Load Overview

10.20s
Total Load Time
94
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:8,961 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content81% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
81%
blog personal website
71%
government public service
67%
real estate property
42%
finance banking
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
61195.231.66.120Italy
AS31034Aruba S.p.A.
235.152.38.193Italy
AS16509AMAZON-02
2151.101.194.137UnknownUnknown
03--

Detected Technologies6

WordPressv6.7.4
100%
JQueryv3.7.1
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11EE3293BC658527E4557C3ECBA72FB2CB21A918AD4C74148A7ECC6C443EAED4F90E449

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pysCV1ab6QCuQYSMhne8/Itl3wNCKuePtNLuD7652YsSqdFZH5hLdvTxFj+dLdvg:vt3vE7654SqdFZHpF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:156207:AjOfgVJAGkOoBjS1Sc0Q7KJCEWVBSUSAQICQD6AfAHxVyS2SymIkZKiFQgHjLQ7GSQAAIBAcIAQEOAehSDSGUB3AIJbYIZiA

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:0000fffbffffff00
Perceptual Hash:ec1112c136ed9abe
Difference Hash:8ccc333746062745
Wavelet Hash:0000dbf3f3fff300
Color Hash:#9187c5

Scan History

Scan history not available

Unable to load historical scan data