Security Scan Report: www.comune.ficarolo.ro.it

Submitted: Jan 22, 2026, 7:26:35 PMCompleted: Jan 22, 2026, 7:27:48 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is comune.ficarolo.ro.it.

Submitted URL: https://www.comune.ficarolo.ro.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no detected threats.

Safety Factors
No malicious Indicators of Compromise matches
No JavaScript malware detected
No redirects
No password, email, or payment fields in forms
Meta tags correctly describe the municipal site
Domain age information unavailable

Details

Page Title

Comune di Ficarolo

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

real estate property

(87%)

Domain Information

You're looking at domain 'www.comune.ficarolo.ro.it' on the Italian country-code top-level domain (.ro.it) and includes subdomain 'www.comune'. The core label 'ficarolo' covers 8 characters with four vowels and four consonants. Segmentation suggests three words: fi, carol, o. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.ficarolo.ro.it/

Page Load Overview

4.53s
Total Load Time
52
HTTP Requests
2
Domains
2.0 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-IT
Text Length:6,002 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
87%
government public service
85%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2693.56.55.250Milan, Lombardy, Italy
AS12874Fastweb
2635.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
522--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197E3B53683F8917E159AC7ECAA70FB16E94E819BD5C6414472ACCB840FE3DD1E90B94C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:hRut5XV1ab6QCuQYSMhne8/Itl3wNCiPtNLu1BFWnm4oV4+u7dbG:p3N/8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148974:gYFUgOMDXQKD9IISw0gQIafFGAAgSAEEeSRkQkAUiKICjIUAKVQIJvRQEAGKoSAAxwSkEDwJUgJDvSCHR7oGFumEDQKBIBgE

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:0000fbf3fff7ffff
Perceptual Hash:ec0113324dbcfa8f
Difference Hash:dcc62727672525d2
Wavelet Hash:0000b1f1f1d1f3ff
Color Hash:#7a862d

Scan History

Scan history not available

Unable to load historical scan data