Security Scan Report: www.comune.sanseverinolucano.pz.it

Redirected to:
https://www.comune.sanseverinolucano.pz.it/sito/
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Submitted: May 29, 2026, 1:05:56 PMCompleted: May 29, 2026, 1:07:08 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is comune.sanseverinolucano.pz.it.

Submitted URL: https://www.comune.sanseverinolucano.pz.it

Effective URL: https://www.comune.sanseverinolucano.pz.it/sito/Redirected

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

Moderate risk due to unknown domain age, unranked reputation, and heavily obfuscated JavaScript, but no phishing or malware indicators.

Risk Factors
Unknown domain age
Unranked domain reputation
High JavaScript obfuscation score
Safety Factors
Classified as government public service by content analysis
Form contains no credential or payment fields
No external IoC matches or network IDS alerts
Domain age information unavailable

Details

Page Title

Comune di San Severino Lucano

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(47%)

Domain Information

The domain 'www.comune.sanseverinolucano.pz.it' uses the Italian country-code top-level domain (.pz.it) with subdomain 'www.comune'. Its registrable label 'sanseverinolucano' stretches across 17 characters holding 8 vowels versus 9 consonants. Word splitting yields 5 words: san, severin, o, luca, no. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.sanseverinolucano.pz.it

Page Load Overview

1.12s
Total Load Time
83
HTTP Requests
3
Domains
970 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:6,399 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
47%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8335.158.185.78Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
831--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T116F36576CA0A24DF2A83DC9454F1BF4E3122CB14D10F252E9BA85B3C56F1FF856AC658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:5YG0YVYK2KZKtxBlyas4nK/K8KoKxyKgIrwaESxqmZMtULUZtRKA5KdKDKOKyKyk:+TYRbrASmbuU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157519:CpKE9yBgxgAImASxFYREAAINAIUANAEAMCcgTGJBiPZBwIBUICR4K2I3BwANAqBECoEMKZiTYBQ0Ca9BAZ4JGjAKoKsZqwAE

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#4d783a

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data