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

Redirected to:
https://www.comune.senise.pz.it/sito/
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Submitted: Jun 17, 2026, 3:45:17 PMCompleted: Jun 17, 2026, 3:46:33 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.senise.pz.it.

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

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears to be a legitimate municipal portal with no malicious indicators.

Risk Factors
Domain is unranked in Cisco Umbrella (weak signal)
Safety Factors
Government public‑service classification (64% confidence)
Self‑branded municipal site with matching domain
No cross‑origin credential submissions
No network IDS alerts
Domain age information unavailable

Details

Page Title

Comune di Senise

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(64%)

Domain Information

Domain 'www.comune.senise.pz.it' uses the Italian country-code top-level domain (.pz.it) with subdomain 'www.comune'. Count 6 characters in 'senise' holding three vowels versus three consonants. Segmentation suggests three words: sen, is, e. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.25s
Total Load Time
141
HTTP Requests
10
Domains
4.7 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:8,008 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
64%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14163.186.30.148Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1411--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3F343769A0A10DB2693D8D49476BF0AB17BC925F10F052EDB682B3816F1FF894FC254

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XOLfbMKNKMqKoKLwKOf7BM9KaKttK0KuKAK2G5Kth8IUXawjIC4gyNM6ogw1ytKS:+jbed0zrp89Iz7U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165013:ABoEwPCx4CJxwQEAKIkpAAFRAcAZWgIujrSNkQQQAMwBzFTAVkBoq4KRCogADenhIIEKRDPighEcSICB44FF54YDCFIiUQAC

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:00007e707000e7ff
Perceptual Hash:c643b93bc4473a93
Difference Hash:c159e9e4e629cd23
Wavelet Hash:0001ff707200ffff
Color Hash:#ae2dd2

Scan History

Scan history not available

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