Security Scan Report: www.comune.cesinali.av.it

Redirected to:
https://www.comune.cesinali.av.it/it
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Submitted: May 23, 2026, 10:15:34 PMCompleted: May 23, 2026, 10:17:05 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 62 HTTP transactions. The main domain is comune.cesinali.av.it.

Submitted URL: https://www.comune.cesinali.av.it

Effective URL: https://www.comune.cesinali.av.it/itRedirected

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

The site appears to be a legitimate municipal website with low risk; no phishing or malware indicators were found.

Risk Factors
Critical JavaScript obfuscation score (high entropy/minification)
Multiple IDS alerts for unsafe Referrer‑Policy
Safety Factors
No login, payment, or credential‑collection forms
Domain name aligns with official municipal branding
No malicious external links or IoC matches
Content classified as government/education by ML analysis
Domain age information unavailable

Details

Page Title

Comune di Cesinali

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(89%)

Domain Information

Within the Italian country-code top-level domain (.av.it), 'www.comune.cesinali.av.it' is registered, featuring subdomain 'www.comune'. The second-level label 'cesinali' is 8 characters long containing 4 vowels alongside 4 consonants. Tokenizing the label suggests three words: ces, in, ali. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.cesinali.av.it

Page Load Overview

22.40s
Total Load Time
40
HTTP Requests
4
Domains
1.8 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:4,979 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
89%
government public service
85%
government
40%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1034.120.160.141Kansas City, Missouri, United States
AS396982Google LLC
1034.120.51.25Kansas City, Missouri, United States
AS396982Google LLC
10165.232.93.253Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
1034.120.66.199Kansas City, Missouri, United States
AS396982Google LLC
404--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B504C6215DB8D02EA11380FCBAB4D709C6EAD50794495C5C79ED6A7C8FA3EC68D1360F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:623NHBmFKIrway8bjO1t+F2hUj4qVNon70nibapmER4KXp1MFasOD7NGhH7u7qMo:NBAKIrwk84ohUj4qVNonAr1dSH7l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183180:FACJUsMODMXCVYSLrEoGggkqEzMRBSgjgpCDAAgpgFE5mAcMEwLDEFAXIRWjAQoRRsAsS8CjJP0AAoGmHBgKhatItxmUTUwQ

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:0000ffffffef0000
Perceptual Hash:edc412334c6cbf98
Difference Hash:cccc2727232b33f1
Wavelet Hash:0000ffffffff0000
Color Hash:#3a1f93

Scan History

Scan history not available

Unable to load historical scan data