Security Scan Report: unionedelfossanese.cn.it

Site favicon
Submitted: Oct 7, 2025, 7:12:41 PMCompleted: Oct 7, 2025, 7:13:19 PMpubliccompleted
Loading additional data...

Summary

This website contacted 10 IPs in 2 countries across 3 domains to perform 166 HTTP transactions. The main domain is unionedelfossanese.cn.it and was registered NaN years ago.

Submitted URL: https://unionedelfossanese.cn.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Unione del Fossanese - Portale istituzionale

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(74%)

Domain Information

Domain 'unionedelfossanese.cn.it' uses the Italian country-code top-level domain (.cn.it) with no subdomain. Count 18 characters in 'unionedelfossanese' containing 9 vowels alongside nine consonants. Splitting it apart reveals 5 words: union, edel, fossa, nes, e. The median word length lands at four characters. Most frequently, 'union' shows up in Italian. You will also see it in Albanian and Galician contexts. Net impression: Italian phrase.

Screenshot

Security scan screenshot of https://unionedelfossanese.cn.it/

Page Load Overview

18.69s
Total Load Time
166
HTTP Requests
3
Domains
9.5 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:34,276 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service74% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
74%
corporate
35%
adult content
30%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2235.186.216.151United States
AS396982GOOGLE-CLOUD-PLATFORM
16151.101.194.137San Francisco, California, United States
AS54113FASTLY
1635.204.131.193Groningen, Groningen, Netherlands
AS396982GOOGLE-CLOUD-PLATFORM
16151.101.66.137NetherlandsUnknown
16151.101.2.137NetherlandsUnknown
16151.101.130.137NetherlandsUnknown
162a04:4e42::649NetherlandsUnknown
162a04:4e42:600::649NetherlandsUnknown
162a04:4e42:200::649NetherlandsUnknown
162a04:4e42:400::649NetherlandsUnknown
16610--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13144097645FCA4AD119F42C8EA20BF0EE09F9477E5C68A87B2BF46841BD7DC2940325D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9wr0D5fmOmWyQV1ab6QCuQYSMhne8/Itl3wNCOPtNLucGsxremw3qpw4DDQu/2eb:6n3NFGsxFDQntYNEB4J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:256666:CFARgEZwUGRGCgTCCYIAAbkETIVgIiAFtxIQBEAE2SOIcJKFgHKem3TQGtlAoHDIBAKAgxZBOxCgawGFYSHITBAPxAMAAQA2

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:000000604000f1ff
Perceptual Hash:eb139c68936adc31
Difference Hash:31350bcf8fa32374
Wavelet Hash:00ff80e1c1c1f1ff
Color Hash:#b5e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data