Security Scan Report: www.comune.nissoria.en.it

Redirected to:
https://www.comune.nissoria.en.it/en-us/home
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Submitted: Jun 2, 2026, 7:52:11 PMCompleted: Jun 2, 2026, 7:53:27 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 2 HTTP transactions. The main domain is comune.nissoria.en.it.

Submitted URL: https://www.comune.nissoria.en.it/

Effective URL: https://www.comune.nissoria.en.it/en-us/homeRedirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Site appears to be a legitimate municipal portal, but unknown age and lack of ranking give it a moderate risk rating.

Risk Factors
Unknown domain age (treated conservatively as potentially new)
Unranked domain reputation
Brand claim on an unranked domain
Safety Factors
No login or payment forms
No malicious JavaScript or credential exfiltration
No external malicious links or IoC matches
Content appears to be a municipal public service
Domain age information unavailable

Details

Page Title

Municipality of Nissoria

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

You're looking at domain 'www.comune.nissoria.en.it' on the Italian country-code top-level domain (.en.it); it also runs on subdomain 'www.comune'. The core label 'nissoria' covers 8 characters holding 4 vowels versus 4 consonants. Tokenizing the label suggests 3 words: n, is, soria. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.nissoria.en.it/

Page Load Overview

3.04s
Total Load Time
51
HTTP Requests
9
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:7,354 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
59%
healthcare medical
54%
documentation technical
44%
government
40%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17151.11.50.116Florence, Tuscany, Italy
AS24994genesys informatica srl
1763.35.34.67Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
17142.251.14.139United States
AS15169Google LLC
513--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4E3522166F04C76804341E97BAAD7116FA5771BA1D92524BAFF1BE00FF6CA8830B71D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:JDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzASzBai47iQ:eriBGoxpeTE7k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:145391:kQkmigQ1XFjDRpqjAAEFKCJuxRQhhaGAQZpSECKyaZaQiVATAHKgSSQ1DJAQHQkUBMIBgYZEB3ETTBRJaviAhsxxQqFAKlIE

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:0000fff3f3f3ff00
Perceptual Hash:ee1313606cf3ce91
Difference Hash:cccc6323270303b1
Wavelet Hash:0000fff1f1f3ff00
Color Hash:#3a5878

Scan History

Scan history not available

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