Security Scan Report: www.comune.novellara.re.it

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Submitted: Oct 9, 2025, 11:24:32 PMCompleted: Oct 9, 2025, 11:26:36 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 3 domains to perform 79 HTTP transactions. The main domain is comune.novellara.re.it.

Submitted URL: https://www.comune.novellara.re.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Official municipal domain (comune.novellara.re.it)
Public service information and announcements
Domain age information unavailable

Details

Page Title

Comune di Novellara - Comune di Novellara

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

forum

(50%)

Domain Information

Domain 'www.comune.novellara.re.it' uses the Italian country-code top-level domain (.re.it); it also runs on subdomain 'www.comune'. The registrable portion 'novellara' spans 9 characters with four vowels and 5 consonants. Segmentation suggests one word: novellara. 'novella' most often appears in Catalan. Secondary signals appear in Italian.

Screenshot

Security scan screenshot of https://www.comune.novellara.re.it/

Page Load Overview

50.04s
Total Load Time
79
HTTP Requests
3
Domains
1.7 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:6,779 chars
Detector Agreement:100%

Website Classification

Primary Category

forum50% confidence
Type: dynamic
Method: structural

All Detected Categories

forum
50%

Detected Features

Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2295.110.140.168Ponte San Pietro, Lombardy, Italy
AS31034Aruba S.p.A.
1935.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
1935.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
19116.202.226.240Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
794--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8C3D7754144313F022B8BDCB6BA676EE5B7B10EDE835650E3FD839913E7DA0A82444E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UuHIKXPcq/ljJAKbk6bcEUSAPASqpE1N0ieycGntmMdnTtKb2g6DlNymMW2ffSgo:lFDd4MYtYxq7z8g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123153:BiIWFGMUCrQASwBICKgkCnKNBEESrYoMWQIgDAkFwMARAEEiwIaBYECFxoxtDTo0NRgMBKUGCEZALQkCKNAMAZAAkBjQChXs

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:0000fbf3ffff8f8f
Perceptual Hash:ec431316346c4bfb
Difference Hash:cc53232704633f3b
Wavelet Hash:0000f9f3ffbf010f
Color Hash:#1f2d93

Scan History

Scan history not available

Unable to load historical scan data