Security Scan Report: www.comune.fagnanoolona.va.it

Redirected to:
https://comune.fagnanoolona.va.it/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 4 domains to perform 70 HTTP transactions. The main domain is fagnanoolona.va.it.

Submitted URL: https://www.comune.fagnanoolona.va.it

Effective URL:
https://comune.fagnanoolona.va.it/
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears to be a legitimate municipal website with no phishing, malware, or other malicious indicators.

Safety Factors (3)
Domain matches the claimed municipal brand
No malicious network or IDS alerts
No external malicious links or suspicious redirects
Domain age information unavailable

Details

Page Title

Comune di Fagnano Olona

Scan Type

public

Domain Name Analysis

The domain 'www.comune.fagnanoolona.va.it' uses the Italian country-code top-level domain (.va.it), featuring subdomain 'www.comune'. The core label 'fagnanoolona' covers 12 characters split between six vowels and six consonants. Breaking it apart gives five words: fag, na, nool, on, a. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.fagnanoolona.va.it

Page Load Overview

3.26s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:18,932 chars
Detector Agreement:100%

Website Classification

Primary Category

government80% confidence
Type: spa
Method: structural

All Detected Categories

government
80%
corporate
50%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3551.118.64.2Milan, Lombardy, Italy
AS16509Amazon.com, Inc.
3576.223.57.212United States
AS16509Amazon.com, Inc.
702--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17EA4197243F402AE11E783EDAE31B656AD1AA09BD58A590473ED87804FF3ED1F90761C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9qyAtjBx1WfxsrgQKWmjxWIsGe8SMhUIDvXvFluzmwNCUEb5tNblFCehkANY6L7K:TOrgQKWVAvkAWN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:457784:wahaEQBNqyBYhBCDdwAkAxoAARgaGAGmIgEZTEEMBAAxQAOIBhEkSAAERwUiTmkoBADUAWgRWYYRFQMAmEZFscAhDmcAAAAw

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:0000fffffbfbfcff
Perceptual Hash:cc21526d2dd2adda
Difference Hash:86863836325281a9
Wavelet Hash:00009f9b9bf9f8dc
Color Hash:#8640bf

Scan History

Scan history not available

Unable to load historical scan data