Security Scan Report: comune.figlinevegliaturo.cs.it

Site favicon
Submitted: Mar 6, 2026, 10:06:59 AMCompleted: Mar 6, 2026, 10:08:21 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 39 HTTP transactions. The main domain is comune.figlinevegliaturo.cs.it.

Submitted URL: https://comune.figlinevegliaturo.cs.it/

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Legitimate municipal website with no detected security threats.

Safety Factors
Official municipal domain structure
No redirects or URL manipulation
No suspicious JavaScript or malware patterns detected
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Comune di Figline Vegliaturo - Provincia di Cosenza

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

travel tourism

(71%)

Domain Information

You're looking at domain 'comune.figlinevegliaturo.cs.it' on the Italian country-code top-level domain (.cs.it), featuring subdomain 'comune'. Its registrable label 'figlinevegliaturo' stretches across 17 characters split between eight vowels and 9 consonants. It segments into 5 words: fig, line, veglia, tur, o. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://comune.figlinevegliaturo.cs.it/

Page Load Overview

2.68s
Total Load Time
35
HTTP Requests
2
Domains
1004 KB
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:4,591 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism71% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
71%
government public service
39%
corporate
35%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18151.101.130.137United States
AS54113Fastly, Inc.
1734.160.164.2Kansas City, Missouri, United States
AS396982Google LLC
352--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13BD3D776C2F8C22E1996C3FCAA71B726ED59918BD0C64658B2BCC7840FE3DD1E51B508

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pu0lQdt9pFPV1ab6QCuQYSMhne8/Itl3wNCKuePtNLuaZPtap8bX5DI:/3v/Z0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:138958:gvrBzqNaIwqAEtEsGASADLAApLA6CmSsUEJgqOASgAEwJZACijSIMRKYAUSjCDURjAYAwBgZYwXVg55DFc8UACWiWTAQiBkQ

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:0000fbfbfbfbffff
Perceptual Hash:ed2c12426e9cede8
Difference Hash:ccc6323323435862
Wavelet Hash:00009b93b1f3ebbf
Color Hash:#6ccee0

Scan History

Scan history not available

Unable to load historical scan data