Security Scan Report: www.comune.casteldilama.ap.it

Site favicon
Submitted: Jan 7, 2026, 12:53:11 AMCompleted: Jan 7, 2026, 12:54:12 AMpubliccompleted
Loading additional data...

Summary

This website contacted 10 IPs in 3 countries across 7 domains to perform 58 HTTP transactions. The main domain is comune.casteldilama.ap.it.

Submitted URL: https://www.comune.casteldilama.ap.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal site with no detected threats.

Safety Factors
Official municipal domain (comune.casteldilama.ap.it)
No external links or redirects
No suspicious content or phishing language
Domain age information unavailable

Details

Page Title

Comune di Castel Di Lama | Comune di Castel Di Lama

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

travel tourism

(86%)

Domain Information

You're looking at domain 'www.comune.casteldilama.ap.it' on the Italian country-code top-level domain (.ap.it), featuring subdomain 'www.comune'. Count 12 characters in 'casteldilama' containing five vowels alongside 7 consonants. Word splitting yields 3 words: castel, d, ilama. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.casteldilama.ap.it/

Page Load Overview

10.33s
Total Load Time
52
HTTP Requests
7
Domains
1.8 MB
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:5,141 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
86%
government public service
56%
documentation technical
47%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.17.25.14United States
AS13335CLOUDFLARENET
535.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
5104.17.24.14France
5172.67.142.245United States
AS13335CLOUDFLARENET
5104.18.1.22United States
AS13335CLOUDFLARENET
5142.250.185.170United States
AS15169GOOGLE
5104.21.27.152UnknownUnknown
5141.95.161.68France
AS16276OVH SAS
5195.231.24.148Italy
AS31034Aruba S.p.A.
5142.250.185.202UnknownUnknown
5210--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3445D36A256202A7533C62570E0ABECA13AE247E9530EFCF9ED77244FD7C954613B18

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ls88EDF0Oodu7mqujVHEiJ8YOabWGN9cIwUOae5bib80OFy214safyr2xzKbxgZK:S889HW46Ib2Fy2RaqqgmhqSvHs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:256721:ggrNAnClpGQkEJADC2baQMZfzitEZ5aKMAMYRvLEkCg0iICGslBQwgCIgBwagAhT4U0AnAB+kgEFghEAiEKBCQIgBgTOsMAE

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:0000fffbf1f1c3c3
Perceptual Hash:e916314669b5ceb2
Difference Hash:ccc4232323639697
Wavelet Hash:0000fff3f1f1c3c3
Color Hash:#bf406e

Scan History

Scan history not available

Unable to load historical scan data